Machine Learning and AI engineer in training, focused on data-centric AI, algorithmic fundamentals, and end-to-end system design. I work at the intersection of theory and engineering, with a strong emphasis on core mathematics, learning algorithms, and building real AI systems from the ground up. My current focus includes domain-specific LLMs, dataset curation, tokenization pipelines, training, evaluation, and reproducible experimentation.
- AI & ML theory (math-first understanding)
- Domain-specific LLMs
- Dataset engineering & tokenization
- Training, evaluation, and reproducibility
Python · NumPy · PyTorch · scikit-learn · Flask · FastAPI
Training a domain-specific AI/ML LLM from scratch covering data acquisition, curation, tokenization, training, and evaluation.