I am a Ph.D. researcher in Chemical and Biomolecular Engineering at the Georgia Institute of Technology, with a minor in Control and Optimization spanning coursework in mathematical analysis, deterministic optimization, and linear systems and control. My advisor is Dr. Joseph K. Scott, and I hold the Eckert Graduate Research Fellowship.

My doctoral research centers on deterministic global optimization — specifically the design and analysis of branch-and-bound algorithms for nonconvex mixed-integer nonlinear programs (MINLPs). This includes developing tractable convex relaxations, node selection strategies, and surrogate-assisted decomposition methods to make large-scale nonconvex problems computationally tractable. I hold an M.Tech from IIT Madras and a B.Tech from Andhra University, both in Chemical Engineering.

I am actively transitioning into quantitative research, applying the same algorithmic toolkit to financial problems. My current projects include: a portfolio optimization framework implementing Markowitz mean-variance, CVaR minimization, Black-Litterman, and hierarchical risk parity; and a multi-factor equity screener for Indian markets that ranks stocks across profitability, balance sheet, valuation, quality, and technicals using z-score normalization and explicit multicollinearity controls to reduce redundant factor signals.

I am a CFA Level I candidate (August 2026) and have hands-on experience in options markets, working actively with Greeks-based position sizing and volatility surface analysis. My technical stack centers on Python (PyTorch, cvxpy, GARCH-family volatility models), with working fluency in C++ and Julia.

You can find an overview of my research and quantitative projects here.