Computer Science Student | AI/ML Engineer | Building Efficient Systems on Consumer Hardware
Richmond American University London CS student (GPA 3.7/4.0) passionate about accessible AI systems. Interned at Mphasis where I reduced LLM inference costs by 70% through intelligent routing and semantic caching.
IC Hack'24 winner with SafeNav - safety-first navigation using crime data clustering and public presence scoring.
Currently building Persona AI Avatar that runs sophisticated multi-agent systems on consumer laptops.
Projects
Internships
Publications
Students Mentored
Python
React.js
MongoDB
AWS
LLMs
LangChain
Mphasis, London | Jun'25 - Sept'25
Richmond American University | Feb'25 - Dec'25
Commudle, New Delhi | Jun'24 - Aug'24
AI assistant indistinguishable from human interaction. 90% semantic cache hit rate, runs on consumer laptops
Safety-first navigation using crime data clustering + public presence scoring
Benchmarked FP32→INT8 showing memory bandwidth as true AI inference bottleneck
Building the future of accessible AI. Open to collaborations, internships, and research opportunities.
London, UK
+44 750-750-9180