Applied AI / Data Scientist with a PhD in Mathematics and an MSc in Computer Vision.
I work on machine learning, NLP, LLMs, semantic retrieval, computer vision, and model evaluation. My background combines mathematical research, academic experience, and hands-on industry work on practical AI systems.
I am also a published researcher and a Kaggle Gold Medalist.
- Machine Learning and Deep Learning
- NLP and Semantic Retrieval
- Large Language Models
- RAG and Agentic AI Workflows
- Computer Vision and Multimodal AI
- Model Evaluation
- Mathematical Modelling and Optimization
Machine Learning / Deep Learning: PyTorch, TensorFlow, Scikit-learn, Transformers, CNNs, Vision Transformers
NLP / GenAI: Sentence Transformers, Cross Encoders, semantic search, text classification, RAG, LLMs, LangChain, LangGraph, LLM evaluation
Data / Engineering: Python, NumPy, Pandas, SQL, Matplotlib, Docker, Git, ONNX, TensorRT
Mathematics: Optimization, probability, combinatorics, coding theory, algorithm design, mathematical modelling
- Built NLP pipelines for semantic retrieval, evidence matching, text classification, and transcript analysis.
- Worked on LLM reasoning, evaluation, retrieval-based grounding, and structured inference.
- Developed computer vision and multimodal AI projects involving object detection, visual understanding, and vision-language models.
- Explored RAG and agentic AI workflows using LangChain, LangGraph, and related tools.
