Professional development portfolio

Levan
Javakhishvili

Computer Science student at Florida International University. This portfolio shows how I present my software engineering experience, and where I am taking it next in artificial intelligence.

  • Backend lead, Rezto.ge
  • Mobile applications
  • AR and brain-computer interface research
Guest Rezto 300+ restaurants Payment and POS Restaurant service
The writing starts from production work: reservations, payments, and the services around them.

01 · Cover letter

A letter about the portfolio

Written to my professor. It states the career goal, names the audience for each piece, and connects the writing to techniques from class.

Levan Javakhishvili

Computer Science · Florida International University

October 16, 2026

Dear Professor,

This portfolio presents my professional experience, career goals, and communication skills as I continue developing my career in software engineering and artificial intelligence. As a Computer Science student at Florida International University (FIU), I want to build on my existing experience in mobile application development and backend engineering while strengthening my knowledge of AI, machine learning, and advanced software systems.

My professional background includes developing mobile banking applications and leading backend development for Rezto.ge, a restaurant reservation and prepayment platform serving more than 300 restaurants and handling hundreds of thousands of reservations. My work has involved backend architecture, payment integrations, reservation management, and connections with external services. I have also participated in research involving brain-computer interfaces, augmented reality, and interaction data analysis. These experiences have given me a practical foundation that I want to combine with my academic studies and future professional opportunities.

The four pieces in this portfolio address different audiences and professional situations. The elevator pitch is designed for recruiters, hiring managers, and potential professional contacts during networking events and interviews. The professional bio is intended for LinkedIn, portfolio websites, and internship applications, where readers need a clear understanding of my experience and technical background. The career development action guide is primarily designed for my own use, with potential value for career advisors and mentors who can help me evaluate my progress. Finally, the professional outreach email demonstrates how I would contact a recruiter or hiring manager to inquire about software engineering internship opportunities.

Each piece demonstrates communication techniques discussed in this course. Plain language helps me explain technical experience without overwhelming readers with unnecessary jargon. Direct patterns allow me to communicate my purpose quickly, particularly in my elevator pitch and professional email. Tone management helps me remain confident and professional without sounding overly formal. Localization is reflected in how I present my qualifications for the U.S. technology job market, where relevant experience, clear descriptions of contributions, and evidence of results are important.

Persuasive writing is another important part of this portfolio. Instead of relying on general statements about enjoying technology or solving problems, I use specific examples from my professional experience to demonstrate my abilities. My work at Rezto provides evidence of my responsibilities and the scale of the platform. Similarly, my career guide connects industry research to practical actions that I can take to improve my skills and prepare for future employment.

The action guide also demonstrates AI prompt engineering by showing how clearly defined tasks, relevant context, specific evaluation criteria, and constraints can improve AI-generated feedback. It emphasizes that AI tools should support my work rather than replace independent thinking, testing, and verification.

Overall, this portfolio represents my development as both a software professional and a communicator. My goal is to combine my existing software engineering experience with further education and practical AI skills. By presenting my experience more clearly and adapting my writing to different audiences, I can better communicate my professional value and prepare for future opportunities in software engineering and artificial intelligence.

Sincerely,

Levan Javakha

Where each technique shows up

Select a technique to mark the pieces that use it. The notes below come from the reflections in this portfolio.

02 · Piece one

Revised elevator pitch

Audience
Recruiters, hiring managers, software engineers, and potential professional contacts.
Context
Career fairs, networking events, internship interviews, and professional introductions.
Spoken introduction About 45 seconds

Hi, I'm Levan, a Computer Science student at FIU with professional experience in mobile and backend development. I led backend development for Rezto.ge, a restaurant reservation and prepayment platform serving more than 300 restaurants and handling hundreds of thousands of reservations. My work included backend architecture, payment integrations, and connecting the platform with external services. I've also worked on mobile banking applications and participated in research involving augmented reality and brain-computer interfaces.

I'm now building on that experience while expanding my knowledge of artificial intelligence and machine learning. I'm particularly interested in opportunities where I can apply my software engineering background, contribute to real products, and continue developing my technical skills.

03 · Piece two

Revised professional bio

Audience
Recruiters, hiring managers, professional connections, and technology industry professionals.
Context
LinkedIn profile, personal portfolio website, internship applications, and professional networking.

I'm a software developer and Computer Science student at Florida International University with experience leading backend development, building mobile applications, and integrating payment systems for real-world products. At Rezto.ge, I led backend development for a restaurant reservation and prepayment platform serving more than 300 restaurants and handling hundreds of thousands of reservations.

My work at Rezto has included backend architecture, reservation and payment functionality, integration with the Bank of Georgia payment API, and connections with external services such as restaurant point-of-sale systems. I have also contributed to features involving QR menus, restaurant events, and reservation management. This experience has given me practical insight into developing and maintaining systems that support business operations, customer transactions, and growing user demand.

Beyond backend engineering, I have worked on mobile banking applications for financial institutions. My technical experience includes JavaScript, TypeScript, React Native, Node.js, Express, MongoDB, and Python. I have experience working across application interfaces and backend services, which helps me understand how different parts of a software product work together.

My interests also extend to artificial intelligence and research. In 2024, I participated in research involving brain-computer interfaces and augmented reality, including the collection and analysis of interaction data. This experience strengthened my interest in exploring how emerging technologies can be applied to complex technical challenges.

As I continue my Computer Science studies at FIU, I aim to deepen my knowledge of software engineering, AI, and machine learning while contributing to meaningful software projects. I am particularly interested in opportunities that allow me to build on my existing development experience while exploring new approaches to application development and intelligent systems.

04 · Piece three

Revised career development action guide

Title
7 Steps to Future-Proof My Tech Career in the Age of AI
Audience
Primarily myself. Also useful for a career advisor or mentor reviewing my progress.
Context
A personal plan for the next year of study, projects, and internship preparation.

Prepared by Levan Javakha
Computer Science, Florida International University

My career direction

I have experience building software that supports real businesses and customers. At Rezto.ge, I led backend development for a restaurant reservation and prepayment platform serving more than 300 restaurants and handling hundreds of thousands of reservations. I've also worked on mobile banking applications and participated in research involving brain-computer interfaces and augmented reality.

My next goal is to build on this experience while developing stronger skills in artificial intelligence and machine learning. Rather than starting over as an AI beginner, I want to combine my existing knowledge of backend systems, APIs, databases, and mobile applications with new AI capabilities.

AI is changing how developers write code, evaluate solutions, and build applications. My goal is to learn how to use these tools effectively while maintaining the technical judgment needed to develop reliable software. This guide outlines seven practical steps I will take to strengthen my skills, improve my portfolio, and prepare for future opportunities in software engineering and AI.

01

Strengthen my software engineering skills

My focus: Become a stronger engineer, not just a faster coder.

AI tools can generate code, but I still need to understand how software works, how to test it, and how to maintain it.

  • Practice data structures, algorithms, and technical problem-solving.
  • Continue developing applications using React Native, TypeScript, and Node.js.
  • Improve my knowledge of database design, API architecture, authentication, and automated testing.
  • Practice debugging problems independently before asking AI for assistance.
  • Review the performance, readability, and maintainability of my code.

Milestone. Independently implement and explain a software feature, including its architecture, tests, and technical trade-offs.

Progress. Complete regular coding exercises and document improvements through practical projects.

02

Use AI as a development assistant

My focus: Use AI to improve productivity without giving up technical judgment.

AI can help me explore solutions and understand unfamiliar code, but generated answers may contain bugs, security problems, or incorrect assumptions.

  • Use AI to explain unfamiliar code, suggest debugging strategies, and compare implementation approaches.
  • Ask AI to review code for readability, performance, and potential edge cases.
  • Compare generated solutions with my own approach.
  • Test suggestions before incorporating them into a project.
  • Avoid submitting or deploying code that I cannot explain or maintain.

Why this matters. Microsoft's and LinkedIn's 2024 Work Trend Index reported that 75% of surveyed knowledge workers worldwide were using AI at work. This suggests that AI literacy is becoming relevant to everyday professional work, although using AI does not automatically guarantee better results. Read the report.

Milestone. Develop a repeatable workflow for using AI during development, including code review, testing, and verification.

03

Turn my AI coursework into projects

My focus: Move from studying machine learning concepts to applying them.

My Computer Science coursework gives me a foundation for understanding algorithms and model evaluation. I want to demonstrate that knowledge through practical projects.

  • Strengthen my Python skills and learn libraries such as pandas and scikit-learn.
  • Select a real dataset and define a specific prediction or classification problem.
  • Train and compare suitable machine learning models.
  • Choose evaluation metrics that fit the problem instead of relying on accuracy alone.
  • Document the results, limitations, and potential real-world applications.

Why this matters. The World Economic Forum's Future of Jobs Report 2025 identifies AI and big data, technological literacy, and analytical thinking among the skills expected to grow in importance. Read the report.

Milestone. Publish at least one machine learning project with a clear problem statement, documented methodology, evaluation results, and an explanation of its limitations.

04

Build on my existing development experience

My focus: Use my existing skills to create more advanced products.

My experience with backend systems and mobile applications gives me a foundation for developing software that incorporates AI features.

  • Improve an existing mobile or full-stack project instead of constantly starting new ones.
  • Identify a real user problem that could benefit from an AI feature.
  • Build the feature into an application with a usable interface and a reliable backend.
  • Document the architecture, API integrations, testing process, and important technical decisions.
  • Publish selected projects on GitHub with clear README files, screenshots, and demos where possible.

Milestone. Prepare at least two polished portfolio projects that I can demonstrate and explain to internship recruiters before graduation.

Progress. Each project should have a clear purpose, documented implementation, and evidence that its main features work.

05

Develop communication and critical-thinking skills

My focus: Explain technical decisions clearly and evaluate information critically.

Technical knowledge is more useful when I can explain it to teammates, recruiters, clients, and people who do not have a programming background.

  • Explain projects using three points: the problem, my contribution, and the result.
  • Practice describing technical decisions in plain language.
  • Participate in code reviews and ask experienced developers for feedback.
  • Evaluate AI-generated answers for incorrect claims, missing context, and weak assumptions.
  • Adapt my writing and explanations to different audiences.

Why this matters. The World Economic Forum also identifies analytical thinking, creative thinking, resilience, flexibility, and adaptability as important workforce skills. These capabilities help people make decisions and respond to changing requirements instead of simply following generated recommendations. Skills outlook.

Milestone. Prepare clear explanations of two completed projects and use feedback from interviews, mentors, or code reviews to improve them.

06

Gain experience through real projects

My focus: Continue learning in environments with real technical requirements.

My previous development experience has taught me that production software involves more than writing code. It also requires testing, integrations, communication, and decisions about reliability and maintainability.

  • Apply for software engineering, backend development, mobile development, and AI-related internships.
  • Explore research opportunities and participate in hackathons or collaborative projects.
  • Practice technical interviews using examples from my previous development work.
  • Prepare to explain how I approached debugging, architecture, integrations, and technical trade-offs.
  • Build professional connections with engineers, recruiters, researchers, and FIU alumni.

Milestone. Gain additional experience collaborating with other developers and solving technical problems beyond classroom assignments.

Progress. Track applications, networking conversations, interviews, project contributions, and feedback.

Important consideration. As an international student, I will confirm internship eligibility and work authorization requirements with FIU's international student office before beginning employment.

07

Test, reflect, and keep learning

My focus: Build reliable software and adapt as technology changes.

Learning a new tool is only useful if I can apply it responsibly. This is particularly important when software uses AI or handles customer information.

  • Test AI-assisted code for bugs, security vulnerabilities, and unexpected behavior.
  • Consider privacy, reliability, transparency, and fairness when developing AI features.
  • Avoid exposing confidential business information or customer data in AI prompts.
  • Review my technical progress and portfolio at the end of each semester.
  • Choose new learning goals based on feedback, project requirements, and skills I need to improve.

Why this matters. The National Institute of Standards and Technology's AI Risk Management Framework provides guidance for identifying and managing risks associated with AI systems. It emphasizes trustworthiness considerations such as validity, reliability, security, privacy, and fairness. Read the framework.

Milestone. Complete a documented review of one project each semester, identifying its limitations, potential risks, and opportunities for improvement.

My personal action plan

Timeline Priority Evidence of progress
Next 1–2 months Improve my resume, GitHub, and technical fundamentals Updated resume and organized repositories
Next 3–6 months Complete a practical AI or machine learning project Published project with documented evaluation
Every month Apply for relevant opportunities and seek feedback Updated application tracker and feedback notes
Every semester Review my skills and career direction Updated goals and a new learning plan

My commitment

I do not need to abandon my existing strengths to adapt to AI. I can build on my experience developing backend systems and mobile applications while learning how to use AI effectively and responsibly.

My goal is to become an engineer who understands the technology behind the software, evaluates AI-generated solutions critically, and builds reliable products that solve specific problems.

By following these seven steps, I can continue developing my technical skills, demonstrate my abilities through practical projects, and prepare for opportunities in software engineering and AI.

05 · Piece four

Professional outreach email

Audience
A recruiter or hiring manager at a technology company offering software engineering internships.
Context
Initial professional outreach after identifying a relevant internship or a company whose work aligns with my technical background.

Subject: Software Engineering Internship — Backend and Mobile Development

To: Hiring Team

Dear Hiring Team,

I'm reaching out to inquire about software engineering internship opportunities at your company. I'm currently studying Computer Science at Florida International University and have professional experience in backend engineering and mobile application development.

At Rezto.ge, I led backend development for a restaurant reservation and prepayment platform serving more than 300 restaurants and handling hundreds of thousands of reservations. My work included backend architecture, payment integrations, and third-party service connections. I've also worked on mobile banking applications and participated in research involving augmented reality and brain-computer interfaces.

I'm interested in applying my development experience while continuing to grow as an engineer. My background working on production software and systems used by real businesses would help me contribute practical development experience to an engineering team.

I've attached my resume for your consideration. Thank you for your time. I would appreciate the opportunity to discuss whether my background could be a good fit for any current or upcoming internship opportunities.

Best regards,

Levan Javakha
Computer Science Student | Florida International University
LinkedIn
GitHub

06 · Work behind the writing

Projects this portfolio draws on

These are the products and builds the pieces refer to. Live links are included where the work is public. Several codebases stay private.

Production · backend

Rezto.ge

Restaurant reservation and prepayment platform. I led backend development: architecture, reservations, Bank of Georgia payments, QR menus, events, and point-of-sale connections. The platform serves more than 300 restaurants.

Mobile · finance

Banking applications

Mobile banking work for financial institutions, across the application interface and the services behind it. JavaScript, TypeScript, React Native, Node.js, Express, MongoDB, and Python are the tools I use across this kind of product.

Research · 2024

Interfaces and interaction data

Research on brain-computer interfaces and augmented reality, including collection and analysis of interaction data. This is the research thread mentioned in the pitch, bio, and email.

Mobile · AI

legalLens

A mobile assistant for legal documents. A person can upload a contract, review clauses, and ask questions about the text.

Web · product

Locomigo

Interface for a cross-platform translation SDK: a public-facing page plus tools for editing translation keys and tracking which languages are complete.

Hackathon · AI

StartLift

Built for ShellHacks. A platform for creating and monitoring AI agents that take on startup tasks, with a Node.js API and a coordinator agent working with specialized agents.

Mobile · AI

SuphraAI

A recipe assistant. It takes ingredients and preferences and returns a recipe with time, difficulty, and steps.

Mobile · product

Dream AI

A dream journal and meaning dictionary for iPhone, part of the mobile product work alongside the banking and reservation projects.

Mobile · utility

TrackLife

An emergency-help screen. The person can request assistance and share their location with the response contact.

Profiles

Where to look next

Public profiles for the experience described above. The outreach email points a recruiter here.

07 · Overall reflection

What this portfolio changed

Effective professional communication depends on selecting the right information for the audience and purpose.

Creating this portfolio helped me recognize that effective professional communication depends on selecting the right information for the audience and purpose. My professional experience provides strong material, but the way I present that experience determines how easily readers understand its value.

The revised elevator pitch and bio place my backend leadership at Rezto near the beginning. This is more effective than opening with broad statements about enjoying technology because it immediately demonstrates my experience and the scale of the systems I have worked on. The action guide translates my career goals into specific, measurable steps, while the outreach email uses the same evidence to establish credibility with a potential employer.

Plain language, direct organization, and tone management are important throughout the portfolio. Each piece uses a professional but natural tone, with enough technical detail to demonstrate expertise without making the writing difficult to follow. Localization is reflected in the emphasis on relevant qualifications, individual contributions, and clear requests for professional opportunities in the U.S. job market.

The portfolio also demonstrates persuasive writing through evidence rather than unsupported claims. My experience with backend systems, payments, mobile applications, and research provides concrete examples of my capabilities. The action guide adds another dimension by connecting external research to practical career decisions. Instead of discussing AI only as a trend, it identifies specific ways I can learn, build projects, and evaluate my progress.

Finally, the guide demonstrates that AI prompt engineering involves more than asking a chatbot a question. Effective prompts require a clear task, relevant context, a defined audience, and specific constraints. AI can support research, drafting, and software development, but its output still requires human judgment, verification, and responsibility.

Overall, I want my professional communication to show not only which technologies I know but also what I have contributed, what responsibilities I have handled, and how my experience can be valuable to a future employer. This portfolio represents my effort to communicate those strengths more clearly while preparing for continued growth in software engineering and artificial intelligence.

08 · Research references

Sources used in the action guide

  1. Microsoft and LinkedIn. (2024). 2024 Work Trend Index: AI at work is here. Now comes the hard part. Microsoft WorkLab.
    microsoft.com/worklab
  2. World Economic Forum. (2025). The Future of Jobs Report 2025.
    weforum.org
  3. National Institute of Standards and Technology. (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0). U.S. Department of Commerce.
    nist.gov