Mrityunjai Singh — AI Researcher

I’m a Software Engineer with a strong academic foundation in Statistics, Econometrics, and Machine Learning. My professional experience spans infrastructure engineering at a proprietary trading firm and full-stack development for a CRM platform. I have a particular interest in Artificial Intelligence, with hands-on work in applied machine learning for healthcare, large language model retrieval, and Retrieval-Augmented Generation (RAG). My background combines rigorous technical problem-solving with practical engineering, enabling me to build systems that are both scalable and intelligent. statistical analysis, quantitative analytics, machine learning, time series modelling, deep learning, large datasets, reinforcement learning Languages: C++, Python, Rust Frameworks: pandas, numpy, pytorch, scikit-learn, quantlib Technologies: git, docker, bloomberg, excel, linux, bash scripting Areas: Concurrency, Multithreading, Operating Systems, financial markets, instruments, trading, large language models Programming: OOP, Code Design with SOLID principles, Design Patterns SQL Coursework: Asset Management, Derivative Securities, Bond Math, Trading Protocols, Investment & Portfolio Management, Reinforcement Learning, Statistical Data Mining, Stochastic Calculus, Statistics for Financial Engineering, Probability & Statistics, Monte Carlo, Optimization, Learning with Big Messy Data, Python for Finance, Big Data

Stackforce AI infers this person is a Fintech expert with strong quantitative and machine learning capabilities.

Experience: 6 mos