I am a Software Engineer and AI/ML enthusiast with hands-on experience building machine learning, computer vision, automation, and data-driven applications. I work primarily with Python and have practical knowledge of the full model development lifecycle, from preprocessing and training to evaluation and deployment.
I have developed LLM-powered applications, including a book recommendation system and an AI voice assistant with speech-to-text, text-to-speech, context management, and retrieval-augmented generation concepts. I enjoy applying intelligent automation to practical business and user-facing problems.
My technical background includes TensorFlow, PyTorch, Scikit-learn, OpenCV, Pandas, NumPy, SQL, and Matplotlib. I have built CNN-based face detection and recognition systems, neural networks for handwritten digit recognition, and OCR-driven invoice compliance and risk-screening workflows.
I also have experience in web scraping, test automation, backend process improvement, database optimization, and full-stack healthcare application development. My work has involved extracting business leads through Google Search and Maps, automating UI testing with Selenium, and supporting scalable system operations.
I bring problem-solving, communication, adaptability, and collaborative Agile teamwork to my projects. I am motivated to grow as an AI/ML Engineer and contribute to products that use machine learning and automation to solve real-world challenges.