I'm a Technical Founder at Cygnux Labs, building AI infrastructure, distributed systems, and financial AI. My work spans LLMs, cryptography, blockchain infrastructure, and production-scale backend engineering.
Previously, I was a Research Assistant at the Cambridge Judge Business School, where I built machine learning systems for marketing intelligence and quantitative research. Earlier, I worked on cloud infrastructure at Microsoft Azure.
I studied Computer Science at ITER alongside Data Science at IIT Madras. I worked on a few projects:
- Onchain-AI-Hedge-Fund: Built a multi-agent trading platform for crypto-perpetuals, implementing automated market analysis and execution logic with real-time risk management.
- HE-poly-core: Developed a high-performance library for Homomorphic Encryption (HE) primitives, utilizing AVX2 SIMD and modular multiplication for NTT acceleration.
- Portfolio-AI: Research project combining Generative Adversarial Networks (WGANs) and Deep Reinforcement Learning (A2C) for quantitative portfolio optimization and asset allocation.
I'm always interested in discussing AI systems, distributed infrastructure, cryptography, and ambitious engineering problems. The best way to reach me is via email (bravish.ghosh_at_outlook.com) or X.