Ajay Nair

About Ajay Nair

Data Science & Engineering leader with over 20 years of experience in leading diverse, global data science & product engineering teams to envision, build and ship products, platforms and solutionsData Science, AI & ML Engineering- Envisioned, built and shipped at-scale propensity models, recommendation engines, causal models, and NLP models to solve high value business problems- Infused Generative AI & LLMs in products to create copilot and assist capabilities that fetch & summarize information, automate workflows and provide intelligent recommendations- Scaled Data Science organizations by standardizing data platforms with optimized, discoverable, extensible and governed data products, empowering data scientists and business users to work independentlyEngineering Leadership: Defined, built & shipped platforms & products in diverse technical & business domains like Embedded Systems, Search & Display Ads, Customer Relationship Management & BIEstablished, led & scaled large engineering & data science organizations, hired and coached high performing SWEs & Data Scientists- Consistently created clarity, generated energy, and delivered impactful results by leading cross-functional teams to achieve strategic objectives and drive business growth

Experience

1. Principal Data Scientist Manager Ai Engineering Leader for Microsoft Customer & Partner Solutions

   Microsoft

   Jul 2017 — Present · Redmond, WA, US

   I currently lead the AI & Data Science division (50+ FTEs) for Microsoft Customer & Partner Solutions (MCAPS). My charter includes setting up and expanding the org, hiring & mentoring top AI scientists and engineers, defining AI product roadmaps with business leaders, delivering rigorous execution strategies, tracking adoption and measuring ROI of AI Products & CopilotsSuccessfully built and shipped at scale AI / ML models like- Customer journey-based Next best Azure Services Recommender, that estimates incremental cloud revenue impact in the range of $2B-2.5B over the next three years- Transformer based NLP models for voice of customer summarization, that uses Hugging Face-Roberta & Open AI engines for auto summarization of customer feedback to improve NSAT (+10 pts)- Causal inferencing-based experimentations (Robust synthetic controls, Deep End Causal Inference etc.) to measure impact of business decisions like Cloud migrations, free to fee initiatives, support monetization etc- Infused generative AI & LLM based skills & plugins (using Azure OpenAI) within products to create copilot capabilities, simplifying complex cognitive tasks and driving 10% productivity gains- Simplified an ecosystem of 38 data platforms across multiple ENGG Teams to create a One Commercial Data Model that served as a single source of truth – optimized, discoverable, extensible and governed- Implemented a standardized AI impact framework to track adoption (active users and engaged users) and measure quantifiable business impact and ROI across AI / ML models and copilots

Education

• University of Mumbai

  BE (Honors), Electronics & Telecommunications

• Birla Institute of Technology and Science, Pilani

  MS, Software Systems

Skills

• Sales
• Program Management
• Sdlc
• Solution Architecture
• Product Management
• Software Project Management
• Requirements Analysis
• Software Development Life Cycle (Sdlc)
• Pmp
• Business Analysis
• Global Delivery
• Agile Methodologies
• Partner Management