╔══════════════════════════════════════════════════════════════╗
║ ║
║ AKASH SHELKE ║
║ Full-Stack Engineer · Generative AI · Systems Thinker ║
║ ║
║ RAG Pipelines · LLM Integrations · Multi-Agent Systems ║
║ ║
╚══════════════════════════════════════════════════════════════╝
Final-year Information Technology student building at the intersection of full-stack engineering and generative AI. I care about systems that are well-reasoned, not just functional — clean architecture, purposeful abstractions, and ML pipelines that actually make it to production.
Currently focused on: agentic AI systems, real-time data pipelines, and frontend interfaces that respect the person using them.
AI / ML
| Tool | Use |
|---|---|
| LangChain · LlamaIndex | Orchestration, RAG pipelines |
| OpenAI · HuggingFace | Model integration & fine-tuning |
| ChromaDB | Vector storage & semantic retrieval |
Engineering
| Layer | Technologies |
|---|---|
| Frontend | React · TypeScript · Tailwind CSS · Redux Toolkit |
| Backend | Node.js · Express · Python · FastAPI · Flask |
| Data | MongoDB · PostgreSQL · Redis |
| Infrastructure | Docker · AWS |
→ Building production-grade agentic systems
→ Learning distributed systems design
→ Open to ML Engineering · Full-Stack · GenAI roles
Systems that think. Code that ships.