Chemist & AI Specialist with 9 years of combined experience in chemistry research, chemical engineering, and artificial intelligence. Holds a Master’s in Theoretical Chemistry with a strong interdisciplinary background in machine learning, NLP, and LLM evaluation. Adept at assessing AI models for scientific accuracy, logical consistency, and advanced reasoning, especially in chemistry and scientific domains. Capable of bridging chemistry and AI across both academic and commercial settings.
Languages & Tools: Python, R, SQL, Git, Bash, Docker, Jupyter, LaTeX
AI/ML Frameworks: TensorFlow, PyTorch, Hugging Face Transformers, Scikit-learn
Chemistry Tools: RDKit, Open Babel, ChemDraw, Gaussian, Schrodinger Suite
Data/NLP Tools: Pandas, NumPy, SciPy, NLTK, spaCy, OpenAI APIs
Model Evaluation: Prompt Engineering, Logic Validation, Chain-of-Thought QA, CoT-RAG
Platforms: Google Colab, AWS Sagemaker, Azure Notebooks, Streamlit