AI/ML Engineer | Building intelligent software at scale
I build production-ready AI systems, intelligent automation pipelines, and scalable backend solutions. My work bridges cutting-edge AI with practical engineering—focusing on systems that solve real problems, not proof-of-concepts.
Core expertise: Agentic AI • Automation Workflows • RAG Systems • NLP • Backend Architecture
| Project | Description | Tech |
|---|---|---|
| Agentic Hiring Workflow | Intelligent recruiting automation with AI agents | Python • LLMs • Orchestration |
| Agentic Blog Researcher & Writer | Autonomous research and content generation system | Python • RAG • LLMs |
| Agent Harness | Framework for building and orchestrating AI agents | Python • Agent Architecture |
| Document Retrieval System | Enterprise-grade document search and retrieval | Python • Vector DB • RAG |
| KongKnitec | Real-time facial recognition attendance system | Python • OpenCV • CV |
| LawAgent | AI-powered legal information assistant | TypeScript • LLM APIs |
| RoleBot | ChatGPT-style conversational interface | Python • Streamlit • OpenAI |
| Resume Scanner | Semantic resume-job matching engine | Python • spaCy • NLP |
| YT Transcript Refiner | Extract & optimize YouTube transcripts | Python • NLP |
Languages: Python, TypeScript, Java, C++, SQL
AI/ML: LLMs, LangChain, RAG, OpenAI APIs, spaCy, Vector Databases
Platforms: Streamlit, FastAPI, Firebase, Docker, Linux
Patterns: Agentic Systems, Automation Pipelines, Backend Architecture
- Multi-agent collaborative systems
- Scalable RAG architectures
- Advanced agent orchestration patterns
- Production LLM deployments
GitHub • Building intelligent systems