Professional Overview
I am a skilled data scientist with a strong background in Artificial Intelligence and Data Science. My expertise spans various domains, including Natural Language Processing (NLP), Image Processing, Classification, Regression, Clustering, and Predictive Modeling using Machine Learning and Deep Learning Toolkits. In addition to these areas, I have also worked extensively on large language modeling (LLMs), including prompt engineering, leveraging OpenAI's technologies to develop innovative solutions and advance the field of natural language understanding and generation. Proficient in Python and equipped with tools like TensorFlow, PyTorch, NLTK, Vector-Database, KnowledgeGraph, Neo4J, and Scikit-learn, I have a strong foundation in designing and implementing machine learning algorithms and deep learning architectures for extracting insights from structured and unstructured data. I have hands-on experience in developing APIs and deploying them on platforms like AWS, PythonAnywhere, and Heroku, enabling me to create scalable end-to-end solutions. Committed to advancing my career in AI and Data Science, I thrive on tackling complex problems and delivering impactful results through innovative approaches. With my expertise in LLMs and a dedication to driving advancements in the field, combined with my experience in prompt engineering and working with OpenAI technologies, I am well-equipped to contribute to cutting-edge projects and push the boundaries of language-based AI systems.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.