Model fine-tuning, prompt engineering, and code evaluations using LLMs. Strong grasp of Python, Scikit-learn, and NLP workflows.
Advanced modeling of dark energy, matter creation, and Chaplygin Gas using Python and Mathematica. Published in peer-reviewed journals.
Statistical analysis and visualization using Python, R, SPSS. Work includes Bayesian inference, MCMC techniques, and dataset wrangling.
LLM output evaluation, testing code for correctness and readability. Fluent in Python, Java, C++, MATLAB — with roles at Turing and Outlier.
Solving multilevel transportation and optimization problems using linear programming in MATLAB and Mathematica.