I am a dedicated Software Engineer and Postgraduate Researcher transitioning from traditional Full-Stack development to the deep tech realms of Artificial Intelligence, Bioinformatics, and Machine Learning Operations (MLOps).
Currently, I am working on my Master's thesis focusing on Cross-Modal Hybrid Benchmarks while building intelligent, local-first workflows. I thrive on bridging the gap between cutting-edge AI research and robust software engineering.
- 🎓 Currently studying: Software Engineering (MSc), preparing for Doctoral Qualifying Exams.
- 🔬 Research Focus: Peptide Property Prediction, Clinical Decision Support Systems (HealthTech), and RAG architectures.
- 💻 Tech Philosophy: Deeply interested in local Large Language Model (LLM) orchestration, agentic workflows (Model Context Protocol).
- 🏆 Open Source: Creator and maintainer of McpTestGenerator, an automated QA tool powered by MCP.
- 🤝 Let's collaborate on: Applied AI in Healthcare, Bioinformatics Data Pipelines, and Open Source LLM Tools.
| Project | Description | Tech Stack |
|---|---|---|
| McpTestGenerator | Standardized Test Case Generation for LLM Agents via Model Context Protocol (MCP). Bridging AI and QA (Xray/Jira). | TypeScript, MCP, LLM Agents |
| TestGen-AI | AI-Powered Test Case and Automation Generator. Streamlining software quality assurance and testing pipelines using Large Language Models. | Python/TS, LLM, QA Automation |
| PeptiProp | Deep Learning & GNN framework for accurate Peptide Property Prediction. Reranking candidates using ESM-2 embeddings. | Python, PyTorch, MLX, GNN |
| NISTH (PostTx-Monitor) | AI-Driven Post-Transplant Monitoring. End-to-end clinical decision support system for health risk analysis. | TensorFlow, Next.js, Python |
| Academic-Incentive-RAG | AI-Powered Academic Incentive Calculator using RAG. Autonomously analyzes regulations and academic CVs. | LLM, LangChain, RAG, NLP |
