Built internal AI/ML Platform starting from 0, with vision of unified user experience and self-service workflows, integrated with existing Data Analytics Platform under unified governance and architecture; amplifying and scaling productivity of AI/ML teams and accelerating AI/ML business outcomes across the company by championing the business adoption from classic ML to Generative AI use cases.• Integrating existing & new data, analytics, and AI/ML infrastructure into E2E product lifecycle, including ingestion, processing, orchestration, discovery, admin access, query, and exploration in central data lake and model training, experimentation, deployment, and inference with vision for unified user experience and one data & model governance • Collaborating with Architecture to create unified platform architecture vision, while partnering with engineering on incremental delivery that enhances the user experience gradually by building towards standard user workflows• Engaging with hundreds of internal users across 20+ analytics and data science teams across the company to drive incremental adoption of platform and delivery of value and business impact with AI/ML solutions• Experienced with Foundation Models and Large Language Model (LLM) use cases, including training from scratch, fine-tuning/RAG/customization, and inference of third-party/public models (e.g. Azure OpenAI and/or Amazon Bedrock)• Partnering with Trusted AI team and implemented/improved business processes to enable AI governance for responsible AI with security, privacy and data ethics considerations in mind• Presenting monthly to CTO & stakeholder teams on AI/ML strategy, roadmap, status, and adoption KPI metrics; working hand-in-hand with key stakeholder/user teams to onboard high-impact AI/ML use cases as early adopters to the platform• Recognized by CEO for championing the platform, collaboration, driving adoption, and scaling business impact of AI/ML

Accelerated Autodesk’s product data platform journey by delivering a common data experience to our customers, breaking down existing data silos and increasing data accessibility and usability in our customers’ workflows.

Delivered “Compliance Analytics” solutions used daily by hundreds of sales reps, analysts and marketing professionals, enabled data driven decisions by executives, and generated significant revenue growth to Autodesk’s SaaS business.

Created a Business Analytics Center of Excellence (CoE) – a brand new division – from 0 to 1!

Implemented solutions of $3M+; transformed customer experience through greater digital & Internet-of-Things (IoT) data connectivity with a brand-new Analytics-as-a-Service (AaaS) business model.

Investigated combustion phenomena using CFD on large scale computational clusters; published two peer reviewed journal papers and a number of conference papers on research results.

Advanced Machine Learning (ML) techniques for life limit predictions of military aircraft critical structural components.