- 🚀 Building aspirefit.in
- 🌱 Currently deep in self-hosted inferencing and AI System Design
- 🤖 Building production AI infrastructure — self-hosted LLM serving, multi-stage inference pipelines, agentic systems with tool-calling and long-term memory
- 🛰️ Background in embedded systems & aerospace — designed flight software and gyro/reaction-wheel stabilization for a CanSat that won an Excellent Grade at the ISRO–IN-SPACe National CanSat Competition
- 🧠 Published researcher — co-authored "Decentralized Swarm Rovers for Planetary Surface Exploration" at GLEX 2025, on multi-agent RL (MADDPG/MAPPO) for Mars rover swarms; patent pending on the underlying architecture
Languages & Core
AI / ML
Backend & Data
Embedded & Robotics
Tools
vLLM Qwen2.5-VL / Qwen3 RunPod Model Context Protocol (MCP) Supermemory LLM Fine-tuning (LoRA) RAG MADDPG MAPPO YOLOv9 ConvNeXt EKF / Visual SLAM Fiber pgx/pgxscan
(niche infra without standard logos — self-hosted LLM serving, agentic tool-calling frameworks, and multi-agent RL algorithms)
- 📄 Research Paper — Decentralized Swarm Rovers for Planetary Surface Exploration, GLEX 2025
- 🔖 Patent (pending) — Decentralized swarm rover system architecture and algorithms
- 🥇 ISRO–IN-SPACe National CanSat Competition — Excellent Grade, Top Performance (619.7m altitude, real-time telemetry, onboard AI anomaly detection)
- 🛰️ Software Lead, Team Tejas / Team Indus — satellite payload & mission control systems (InSPACe, American CanSat)
