I build practical AI workflows that connect language models, business data and web applications. My background in data analysis, backend development and software QA helps me approach both implementation and validation.
Explore my portfolio → · LinkedIn · LeetCode
- LLM applications: retrieval-augmented generation (RAG), prompt engineering, GPT fine-tuning workflows and AI response evaluation.
- Full-stack development: web interfaces, backend features and REST API integrations with Next.js, TypeScript, JavaScript and Node.js.
- Data analysis: SQL queries, data cleaning, validation, investigation of inconsistencies and analytics reporting.
- Software quality: functional, regression and API testing; evaluating accuracy, relevance, consistency and edge cases in AI outputs.
My official role is Data Analyst, alongside assigned AI application development responsibilities. I use AI-assisted coding with code review, debugging and testing as part of the development process.
| Project | Focus |
|---|---|
| OmniWorkspace | Open-source, model-agnostic AI workspace for coding, research, data analysis and automation. |
| AI Evals Framework | Organization project I contribute to: evaluating LLM responses against reference datasets and context. |
| Chatbot App | Web-based AI chatbot with a React interface and Node.js API integrations. |
| Telegram AI | Python chatbot integrating a language-model API with Telegram. |
| PDF → Markdown Converter | Python document-conversion tool for extracting Markdown from PDFs. |
| Donation Platform Backend | Node.js and Express REST API with MongoDB, authentication and campaign/donation endpoints. |
Explore each repository for its implementation, setup instructions and current scope.
| Area | Tools and practice |
|---|---|
| Application development | TypeScript, JavaScript, Next.js, React, Node.js, Express, REST APIs |
| Data & databases | SQL, Python, PostgreSQL, MongoDB, data cleaning and validation |
| Applied AI | LLM integrations, RAG, prompt engineering, GPT fine-tuning, AI evaluation |
| Testing | Postman, functional testing, regression testing, API testing |
- Vector search and retrieval using PostgreSQL + pgvector.
- Evaluating how retrieved context affects LLM response quality.
- Connecting AI features with business workflows and maintainable application code.
Understand the requirement → prepare the data → build the integration → review the code → test the behaviour → refine the result.
I'm focused on AI Engineer, Generative AI Developer and AI application development opportunities, with remote work preferred. I also welcome collaboration on practical AI tools and full-stack applications.