Robotics & AI Engineer @ BIT Bangalore (CGPA: 8.8/10)
I don't just train modelsโI deploy them on $50 hardware and test brutally.
๐ 2nd Place at Project Expo
โก 2.9ร Inference Speedup on ARM through quantization
๐ค 98.4% Uptime in production multimodal AI systems
๐ฆพ Quadruped Controller validated in sim โ deployed on real hardware
๐ค MEMO (Neural-OS)Production AI agent running on edge devices Stack: YOLOv8 โข Whisper โข Phi-2 โข RAG โข FAISS |
๐ง CognisLLM optimization with pattern mining Stack: Llama-3 โข FAISS โข FastAPI โข n-gram mining |
๐ YOLOmartAutonomous shopping cart (Competition Winner) Stack: ESP32 โข YOLOv8 โข React Native โข Firebase |
Research & Development Intern Quadruped & humanoid control systems, AI Pipelines Stack: PyBullet โข C++ โข ROS โข Real hardware โข Simulations โข Computer Vision |
Specializations: Edge AI Optimization โข Robotics Control โข LLM Systems โข Computer Vision โข Machine Learningโข Deep Learning
|
Most demo. โ
98.4% uptime |
Not just simulate. โ
Quadruped robots |
| Achievement | Impact | Date |
|---|---|---|
| ๐ฅ GlitchVerse 2k25 Runner-Up | Dec 2025 | |
| ๐๏ธ Anveshana National Finalist | Top teams across India | Feb 2025 |
| โก 2.9ร Optimization | Real hardware deployment | Jan 2026 |
| ๐ค Production AI System | 98.4% uptime validated | Jan 2026 |
| ๐ Top 10% Academic | 8.8/10 CGPA in Robotics & AI | Ongoing |
| # Research and Development Intern | @ Sirena Robotics | Jan 2026 |
I'm seeking research/Ai-ML/Data internships
Interested in:
- Embodied AI & vision-language-action models
- Legged robotics & safe control theory
- Edge AI optimization & deployment
- Multimodal systems for human-robot interaction

