I'm a Computer Science graduate from IIT Kanpur and currently working as a Quant Developer at Morgan Stanley, where I build systems that ensure firm-wide model coverage, consistency, and efficiency. My interests sit at the intersection of algorithms, machine learning theory, stochastic optimization, and randomized methods.
I enjoy designing elegant solutions to complex problems, exploring the theoretical underpinnings of ML, and contributing to systems that bridge research and production engineering.
- Research‑backed algorithm design and implementation
- ML theory experiments and mini‑papers
- Efficient probabilistic & graph‑theoretic algorithms
- High-performance Python tooling
- Occasional deep dives into quant theory, trading systems, and alpha research
- Algorithms that are elegant, underrated, or underexplored
- Systems programming for research
- ML papers with theoretical depth
- Quant research & stochastic optimization
"Build systems that think, and theories that last."
- LinkedIn: My Profile
- Email: abhinavg21.iitk@gmail.com
Thanks for visiting! ⭐