Machine Learning • Optimization • Structured Reasoning
Formal decision systems at the intersection of learning and optimization.
I’m Javal Vyas — a researcher and engineer working on structured decision-making, multi-agent reasoning systems, and constrained optimization. I build systems that are robust, constraint-aware, and rigorously evaluated.
Structured planning & validation Optimization under constraints Time-series modeling & evaluation
Decision Systems
PhD Research
multi-agent, convergence, reliability
Quant Modeling
Signals → Evaluation
backtests, robustness, baselines
Optimization
Constraint-first design
risk, trade-offs, feasibility
If you want the full background (education, experience, research themes), see About.