A strategic techno-functional leader leading the design, development, and delivery of AI recommendation platforms, AI-driven ad-hoc analytics solutions, LLM-based AI chatbots, enterprise SaaS marketplace offerings, and multi-cloud-based enterprise applications. Launched and led company-wide digital transformation programs migrating legacy application architectures to modern cloud-based workloads, privacy regulation compliance across platforms, driving efficiencies by infrastructure, services consolidation, and development process automation.Career Highlights:- Pursuing a Ph.D. in Artificial Intelligence.• Led teams to develop an ad-hoc data analytics platform to generate key product and revenue insights using deep learning and large language models (LLMs) such as OpenAI, Llama 2, and Cohere. • Led teams to develop a recommendations platform to guide customers in configuring and generating efficient and relevant product orders. • Led teams to design and build an AI Helpdesk bot to receive user input and identify and perform relevant actions such as finding product documentation, managing support cases, and generating reports.• Led cross-functional program across Facebook and Instagram to continuously build and optimize the content ranking logic, including AI models to rank the content based on user interest and past interactions, identifying the top few content candidates that can be sent back to the user. The success of the program resulted in global watch time gain and users’ growth across both Facebook and Instagram application• Conceptualized & managed the team to build & deliver edge device management and operations portal to manage 1000+ edge devices per site. The product reduced service issues by over 65% during business hours through real-time monitoring and alerts for the support team. • Led concept-to-launch of AI/deep learning, edge computing-driven enterprise video analytics platform (CX Deep Fusion) to target a $3 billion video analytics market addressing school security, crowd management, and vehicle management use cases.• Analyzed data regularly to derive business insights on product usage patterns, user interaction behavior, successful transactions & user satisfaction ratings. These insights resulted in an over 40% increase in customer engagement. • Conceptualized & Designed architecture to decouple microservices and stream real-time data using stream processing services and messaging frameworks at the edge & cloud nodes.