CDAIO · Generative AI · Multi-Agent Systems · RAG · Enterprise AI Transformation
Building AI platforms that turn data into decisions — at the intersection of healthcare, FinTech, and enterprise transformation.
A C-suite data and AI leader with a global track record spanning healthcare, FinTech, cybersecurity, and EdTech.
Sudhir Wadhwa is a seasoned Chief Data and AI Officer who leads enterprise data strategy from vision to execution. Currently at Aduro, he owns the full operating model across data engineering, BI/analytics, governance, and AI/ML product development — building scalable platforms for personalized healthcare experiences.
His work spans the full AI stack: architecting multi-agentic RAG systems, leading responsible AI programs, and driving enterprise AI Transformation (AIX) roadmaps that move organizations from foundation to fully AI-enabled.
He brings deep academic credentials — including a Carnegie Mellon CDAIO Certificate (2025) — and an extensive record as an adjunct lecturer, visiting faculty member, and industry workshop facilitator across the US, India, and China.
Building agentic AI platforms for mental health coaching and nutrition personalization at Aduro.
Led data science at Cardlytics across 157M+ consumers, $3T annual spend, and 13B+ merchant strings.
Managed distributed teams across the US, India, UK, Israel, Vietnam, Singapore, Australia, and Kenya.
Carnegie Mellon University Chief Data & AI Officer Certificate — 2025 cohort.
Active projects at Aduro and beyond — from agentic platforms to enterprise AI transformation.
Architected and launched the Aduro Intelligence platform — a multi-agentic RAG system delivering real-time, personalized nutrition guidance using LLMs and retrieval pipelines. Built on LangGraph, GPT family models, and Langfuse observability. Live in production and featured in national press.
Read the press release →Led a multi-phase listening tour across all business units. Captured JTBD, redesigned SOPs with AI augmentation, and scaled agents from Foundation to fully AI-enabled stage.
AI StrategyCreating pre-session and post-session AI agents for mental healthcare coaches — improving effectiveness and client engagement outcomes at scale.
Healthcare AIEnterprise-wide data lake ingesting 100+ sources across 9 acquired entities — Salesforce, HubSpot, Five9, multi-channel marketing, and more.
Data EngineeringFrom Director at Altera (now Intel) to CDAIO — a career built at the frontier of data and AI.
Enterprise Data + AI strategy and execution. Built and scaled global teams across Data Engineering, Data Science, BI, Governance, and AI product. Launched multi-agentic RAG platform (Food as Medicine) and led full enterprise AI Transformation roadmap.
Led 6 global teams across 9 acquired entities in 7 countries. Delivered ThriveLake AWS Data Lake (100+ sources). Built ML solutions for churn, enrollment prediction, NLP on call transcripts, and job recommendations. A/B testing drove $1M+ incremental revenue per cohort.
Owned Data Science roadmap and ML platform serving 157M+ MAU and $3T in observed annual spend. Built teams in US, India, and UK. Created autoencoders, forecasting pipelines, merchant intelligence (13B+ strings), and "Data Science University" internal training program.
Co-founded and led technology from zero to acquisition. Built ML platform and analytics infrastructure for EdTech applications.
Built ML and analytics platforms across three verticals simultaneously as founding CTO and technical advisor.
11 years at one of Silicon Valley's iconic semiconductor companies — the foundation of a long technology career.
From C-suite strategy to hands-on engineering — a rare full-stack executive profile.
A mathematician by training, a technologist by passion.
Enterprise Data Management · Data Strategy & Governance · AI Foundations · Applied Data Science · Generative AI & LLM Applications · Responsible AI · MLOps / AIOps · AI Factory · Data & AI Cybersecurity · CDAIO Leadership
Faculty, advisor, and practitioner — growing the next generation of AI practitioners.
ISA Department, Leavey School of Business — teaching data science and AI to graduate students.
Indian School of Business — lectures on machine learning, AI strategy, and data leadership.
AI & Data Science Program Advisory Council for Jio Institute.
Hands-on sessions on Computer Vision, NLP, Chatbots, Alexa Skills, and ML for Product Managers.
Data Visualization, Future of Higher Education, ML & Predictive Analytics, and Deep Learning.
AI & Investment Future Forum in Hangzhou; Global New Finance & Venture Incubator Summit.
Selected Workshop Topics
Published with Intel Developer Zone — practical guides on machine learning, data science, and visualization.