Headline

MSc Mathematics | Quant Researcher & Software Engineer | Specialist in Algorithmic Optimization, Stochastic Modeling & Scalable AI | Python • C++ • AWS • SQL

About

I am a postgraduate professional with an M.Sc in Mathematics, specializing in bridging the gap between high-level theoretical frameworks and production-ready engineering solutions. My expertise lies at the intersection of Quantitative Research, Algorithmic Design, and Scalable Systems. With a strong foundation in Stochastic Modeling and Numerical Analysis (Runge-Kutta, Euler methods), I build technical prototypes that solve complex optimization problems. I am focused on ensuring that mathematical models are not just theoretically sound but computationally efficient and deployment-ready. Technical Core: Quant Research: Stochastic Modeling, Time Series, Statistical Foundations, Numerical Methods. Engineering: Python (NumPy, SciPy), C++, SQL, Algorithmic Design (DSA). Infrastructure: Data Engineering on AWS, Scalable AI, Performance Profiling.

Location

Bengaluru

AI stack

gemini

hugging face

langchain

openai

Work experience

Postgraduate Researcher (Quantitative Modeling & Computing) at Arya Vidyapeeth College, Aug 2023 - Jul 2024 · 1 yr, Guwahati, Assam, India, Quantitative Modeling: Engineered and benchmarked numerical solvers for differential equations (RK4/Euler), improving computational stability for high-dimensional datasets. Software Engineering: Developed modular technical prototypes in Python and C++, utilizing version control (Git) to bridge abstract mathematics with scalable applications. Performance Optimization: Conducted rigorous profiling of algorithms, focusing on memory management and efficiency—critical for high-frequency trading and large-scale systems.

Education

Master's degree in Science, Mathematics, Gauhati University, Guwahati

Bachelor of Science, Mathematics, Handique Girl's College

Public links

github: https://github.com/PeyaliChakraborty