At HandshakeAI, I work as a contract STEM Domain Expert on AI training projects, solving and reviewing advanced problems in optimization, geometry and topology, linear algebra, and other areas of mathematics.
I assess AI-generated solutions for correctness, rigor, and step-by-step reasoning, and provide detailed feedback and corrections. I also use Python and computational tools to verify mathematical solutions and code-based problem outputs.
For my research on optimizing linear programming problems using Trapezoidal Intuitionistic Fuzzy Numbers, I developed a ranking-free framework that converts a single intuitionistic fuzzy objective into six crisp multi-objective functions. I implemented and solved the models using Python, MATLAB, and SciPy.
I validated the approach on transportation and production cost reduction problems, where it achieved 6–10% lower deviation than conventional ranking-based methods. I’m pursuing an M.Sc. in Mathematics at Netaji Subhas University of Technology (NSUT).
