Piyush Sinha

I’m a Computer Science undergraduate at IIT Patna specializing in quantitative research, systems architecture, and full-stack development. I engineered GC-neutral search engines, built context-aware AI assistants using RAG, and formulated predictive trading models on the WorldQuant BRAIN platform.

As a WorldQuant Research Consultant, I achieved Gold Level among 16,000+ global consultants by formulating and backtesting quantitative alpha signals. I apply rigorous statistical analysis and out-of-sample experimentation across 10+ years of market data to optimize alpha performance against strict Sharpe ratio thresholds, while also building latency-sensitive systems—like my chess search work with a GC-neutral memory architecture and a benchmarking pipeline that achieved 66.3% search space compression.