I am a Research Engineer TLM (managing a team of 10 Engineers) at Apple, Cupertino with an expertise in building Large Language Models (LLMs), Generative AI, Natural Language Processing. I lead all end-to-end AI/ML/NLP based projects to power intelligence to Apple Care CRM application both from the Advisors as well as Customers front. Projects are built as scalable APIs handling >- 10K QPS to support Customers reaching through Email, Phone and Chat spanning across the world. Models have an impact on X00K Apple Care Cases a day, X00K Customers and X0K Advisors daily. Key Projects and focus areas - • Building Instruction based LLM for Apple Care & Support with RLHF components• Integrating Retrieval Mechanism with LLMs • Building Speech based solutions to automate the Cases through Phone Calls• Question and Answer systems for Apple Care Advisors• Converting models to On-Device (Federated Learning) for Privacy Preserving Machine Learning using Core MLPreviously, I was Applied Scientist at Microsoft leading all end-to-end Intelligent Projects that power various Sports and Esports related experiences on Bing, Edge, MSN, Sports Hub & Windows Feed and have an impact over X00M+ users worldwide. Some of the other work includes working for Core Surface Devices (Special Group) to build a Reinforcement Learning (RL) algorithm to study and optimize User Experience across various sub system components of device. Also, shipped a Computer Vision (CV) based model to detect dents/scratches/defects for Surface Factory. I also worked for Microsoft 365 team to enhance Forecasting using Deep Learning (DL) and Anomaly Detection (AD) Efforts. Shipped AD Model Worldwide as part of Azure Anomaly Detector.Research Interests - Instruction based learning, Logical Reasoning & UnderstandingDomain Expertise - ML, DL, NLP, CV, RL, A/B Experimentation, MLOpsSkills - PyTorch, TensorFlow, Keras, PySpark, Python, SQL, Hadoop, Hive, Kafka