Yogesh Bhardwaj

WORK HISTORY

EDUCATION

ABOUT YOGESH BHARDWAJ

I bridge rigorous applied mathematics with cutting-edge AI/ML engineering to solve complex, real-world problems. With a PhD in Applied Mathematics and hands-on industry experience in data science, LLM evaluation, and scientific computing, I transform theoretical models into scalable, data-driven solutions.Core Expertise: Python, Machine Learning & Deep Learning, LLM Evaluation & GenAI, Statistical Modeling & Optimization, NLP & MLOps, Astrophysics & Cosmology. Industry Impact- AI Code Trainer & LLM Evaluator @ Outlier (Contractual)– Auditing & improving AI-generated code (Python, Java, C++, MATLAB), building robust test cases, and enhancing model accuracy- LLM Senior Engineer @ Turing (Contractual)– Architecting mathematical AI workflows, evaluating LLM reasoning capabilities, and integrating applied math with generative AI pipelines.Research & Academic Excellence-Senior Researcher @ DTU – Developing computational models (Python/Mathematica/ MATLAB) for cosmology & modified gravity, analyzing large-scale datasets, and publishing 5 peer-reviewed papers in high-impact journals (Annals of Physics, EPJC, Astrophysics & Space Science)- Awarded Best Researcher (Indian Scientist) & DTU Research Excellence Award (2024).Technical Stack: Python, SQL, R, MATLAB, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, PySpark, Mathematica, Git, DockerMethodologies: MCMC, Monte Carlo, Optimization, Operations Research, Numerical Methods, Differential Equations- Open to remote global opportunities in Data Science, AI/ML Engineering, LLM/GenAI Development, and Research Scientist roles. I thrive in async, distributed teams and am passionate about leveraging AI to decode complex systems—from enterprise data to cosmic phenomena.Let’s connect: | github.com/yogeshb15