π Building backend systems & tool-based AI agents that actually execute (not just hallucinate) π― Exploring IoT + backend integration (Raspberry Pi, sensors β APIs β real-world systems) π± Currently learning: Java, DevOps, FastAPI, scalable system design β‘ Started with Arduino (C++) β now focused on Python, backend engineering & AI workflows
π‘ I work at the intersection of backend engineering and AI:
- Tool-based LLM agents (execution pipelines, memory systems)
- REST APIs & backend services (Flask / FastAPI)
- Multimodal systems (voice + vision + LLMs)
- RAG + vector databases (pgvector)
π Projects:
- AI agents with structured tool execution
- Humanoid robot backend (vision + voice + memory)
- EV slot booking system (Docker + MongoDB)
- IoT pollution monitoring rover
π― Goal: Build scalable backend & AI systems and land a high-impact internship
Languages: Python, Java, C, C++ (Arduino), Rust (basic)
Backend: Flask, FastAPI, REST APIs
AI/Agents: Tool-based agents, RAG, Prompt Engineering, pgvector
Databases: MongoDB, PostgreSQL, Redis, Firebase
Tools: Docker, Git, Linux (Arch/WSL), Postman, Tailscale
IoT: Raspberry Pi, Sensors, GPS modules

