AI/ML Engineer and Data Scientist specialising in end to end machine learning solutions, from data preparation and model training to deployment. Proficient in Python, natural language processing, and modern AI techniques, with a focus on building scalable, production ready systems rather than just models. Experienced in applying data driven solutions across technology, health care, finance, and education to solve real world problems.
An NLP-based text classification tool built with BERT and Streamlit. Detects toxic content, hate speech, and insults from pasted text, file uploads (.txt, .pdf, .docx), and live URLs using Selenium.
A computer vision application built with PyTorch and ResNet18. Upload an image of a playing card, and the deep learning model accurately identifies its suit and rank in real-time.
A production-grade banking web application featuring a double-entry transaction engine, database-level validation, idempotency mechanisms, and structured logging.