Siddharth U.
Data Scientist @Manulife
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WORK HISTORY
Data Scientist @Manulife
Toronto, ON, CA
helped me get this job
EDUCATION
UC San Diego
MicroMasters, Data Science
Northwestern University
Master of Science - MS, Data Science
SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
MBA, Information Systems
University of Mumbai
Computer Science
SKILLS
ABOUT SIDDHARTH U.
With over a decade of experience bridging data analytics and advanced machine learning, I am a Data Scientist currently working in the fintech and insurance space at Manulife. I specialize in building, optimizing, and deploying enterprise-grade Generative AI and Large Language Model (LLM) solutions. My passion lies in taking complex algorithmic challenges and translating them into scalable, AI-first systems that drive tangible business transformation.My current technical focus is heavily centered on LLMOps, Retrieval-Augmented Generation (RAG), and high-scale enterprise chatbot infrastructure. I spend my time deep in the weeds of inference speed optimization, orchestration, and Azure-native scaling strategies, utilizing advanced serving frameworks like vLLM and SGLang. Recently, this hands-on architectural work culminated in the successful technical orchestration and release of a major internal AI chatbot.My career journey began in Mumbai, where I spent over five years as a Senior Analyst at Trafigura. That foundational experience in operational optimization taught me the importance of aligning technical execution with real-world business needs. To strengthen this dual perspective, I earned an MBA in Information Systems from NMIMS, giving me the strategic framework to lead cross-functional teams, bridge the gap between technology and business, and guide AI transformation.To master the technical frontier of this space, I subsequently earned my Master of Science in Data Science, focusing on Artificial Intelligence, from Northwestern University. This rigorous academic background equips me to handle the entire lifecycle of modern ML and DL frameworks, from containerization and CI/CD pipelines to cutting-edge generative architectures.Beyond my day-to-day role, I am deeply invested in Toronto’s vibrant AI ecosystem. Whether I’m participating in hackathons like the Google Chrome Built-in AI Challenge, attending LangChain meetups, or engaging with peers at events like RBC AI Connect and the CDO Magazine Leadership Dinner, I am always eager to learn, share insights, and connect with others who are pushing the boundaries of what AI can achieve.
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