Engineered and launched a Retrieval-Augmented Generation (RAG) chatbot for healthcare, achieving user-friendly, accurate responses to queries by grounding answers in User Generated Content (UGC) and minimizing hallucinations.

Designed and implemented a RAG-based recommender system that integrates external health information with internal data, successfully recommending relevant posts, communities, and articles to various user segments.

Mentored junior engineers on Al principles and best practices, promoting a culture of ongoing learning and teamwork and ensured compliance with healthcare and organizational regulations by implementing data privacy measures and conducting regular audits.

Achieved successful object detection and tracking in Computer Vision by building various stages of the ML lifecycle using TensorFlow, Keras, and YOLO.

Enhanced model training efficiency by developing distributed training code for TensorFlow/Keras, optimizing performance on both CPU and GPU environments.

Created deployable ML workloads for production clusters with Kubeflow, while effectively tracking performance metrics using MLFlow and facilitated secure application deployment across multiple cloud environments by leveraging Cisco's CloudCenter Suite.

Created efficient Python and XML code for Cornerstone Wines, Singapore, resulting in improved system performance and user experience.

Streamlined sales processes by integrating multiple platforms with the Odoo Framework, enhancing operational efficiency.

Customized web pages using JavaScript, CSS, Python, and XML, leading to a more engaging and user-friendly interface and conducted thorough testing for Chameleon Codewing Limited, UK, identifying and resolving issues to ensure high-quality software delivery.