CS Student · AI/ML Engineer · London
const mission = "Building efficient AI systems accessible on consumer hardware."
Richmond American University London CS student (GPA 3.7/4.0) passionate about making AI systems accessible and efficient. Interned at Mphasis where I reduced LLM inference costs by 70% through intelligent routing and semantic caching.
with SafeNav — safety-first navigation using crime data clustering and public presence scoring.
Currently building a Persona AI Avatar that runs sophisticated multi-agent systems on consumer laptops.
5+
Projects
3
Internships
5
Publications
500+
Mentored
Python
React.js
MongoDB
AWS
LLMs
LangChain
Docker
PyTorch
Mphasis · London
Richmond American University · London
Commudle · New Delhi
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 quantization, revealing memory bandwidth as the true AI inference bottleneck.
Journals & Conferences
SN Computer Science
SHA-256 compression analysis
MRS Spring 2026
Curie Temperature prediction
INDIAcom 2026
Adaptive steganography framework
Leadership & Awards
Dean's Scholar 2023–25
President, South Asian Student Society
SGA Treasurer & Senate · Peer Mentor (500+ students)
Building the future of accessible AI. Open to collaborations, internships, and research opportunities.