Author
Towards Data Science
PhD
TUM, Computer Science
Computer Scientist (PhD, TUM) specializing in high-performance AI infrastructure and hardware-software co-design.
Expert in bridging the gap between frontier ML models and custom GPU runtimes, memory-efficient scheduling, and kernel-level optimizations.
Currently conducting deep technical evaluations of production grade agentic AI inference.
I bridge the gap between abstract mathematical models and physical silicon execution to build and protect the next generation of AI compute.
Skills:
LLMs
Agentic Inference
Distributed Systems
ML Architecture
Digital Twins
5G/6G
Memory Architecture
IP / Patent Strategy
Inference Optimization
CPU Architecture
Parallel Programming
HW-SW Co-Design
Languages:
English (Professional) · German (B2) · Bengali (Native) · Hindi (Native)
Honors:
Student Travel Grant at CNSM 2021
