AI PRODUCT & TECHNOLOGY LEADER
Surbhi
Choudhary
Orchestrating AI-driven business transformation through autonomous agentic systems. Built on statistical rigor and systems thinking.
AI Economics & Value Engineering
Shaping how enterprises deploy capital on AI · Defining build vs. buy at scale · Creating competitive moats through intelligence · Long-term value realization
Enterprise Intelligence Infrastructure
Building the foundational layer of intelligence that enterprises run on · Resilience at global scale · Operational trust across tens of thousands of users · Governance as the core, not an afterthought
Organizational Transformation & Operating Rhythm
Shifting how organizations operate · Data monetization as a business lever · Building AI-native cultures · Orchestrating change that sticks · Creating operational velocity
Domains of Impact
Each domain contains projects where statistical rigor turned broken processes into self-sustaining AI systems.
Automotive
High‑scale multi‑agent AI for global automotive operations.
AIOps
LLM‑driven IT incident intelligence and language detection.
Risk & Compliance
Adaptive AI for enterprise governance and regulatory reporting.
AI Governance & Platforms
Enterprise‑grade AI platforms, governance, and chatbot ecosystems.
FinTech & Commodities
Real‑time pricing, forecasting, and data engineering at scale.
Pharma & Clinical Trials
Statistical fraud detection, QTL frameworks, and survival analysis.
Supply Chain & Logistics
Deep learning for operations research and logistics optimization.
Manufacturing
Statistical process analysis for quality and efficiency.
Academic & Research
ML research, NLP, and predictive modeling across domains.
EdTech
Predictive modeling for student admissions.
Tech Arsenal
Cloud-native, MLOps, Generative AI, and statistical tooling across Azure, AWS, and GCP.
☁️ Cloud Platforms
🤖 Generative AI & Agentic
⚙️ MLOps & Engineering
📊 Data & Statistics
🔍 Databases & Vector DB
🧠 Leadership & Delivery
About Me
AI Product & Technology Leader with nearly 7 years of experience architecting enterprise-scale AI platforms and Generative AI solutions. Every architecture decision is preceded by deep problem decomposition, data reality checks, and long‑term sustainability assessment – producing AI systems built to last.
⚡ Leadership Highlights
- ▹AI Strategy & Commercial Accountability: Owned AI product strategy for Fortune 500 clients, structuring multi-year roadmaps and securing executive buy‑in for investments exceeding $2B in operational savings.
- ▹Enterprise Architecture & Standardization: Defined standardized AI architecture frameworks deployed across 80+ countries, enforcing security, scalability, and operational compliance.
- ▹AI Governance & Risk Management: Established enterprise AI Governance, building automated evaluation pipelines that reduced deployment risks and improved regulatory audit readiness.
- ▹Platform Delivery & Program Management: Directed simultaneous enterprise AI initiatives, balancing engineering capacity, stakeholder expectations, and cross‑functional release planning.
- ▹Talent Development & Organizational Growth: Built high‑performance AI teams by mentoring engineers, data scientists, and leading technical hiring for 20‑30 ML/Data Science roles.
🎓 Education & Research
M.Sc. Statistics
Devi Ahilya Vishwavidyalaya, Indore (2017–2019)
Thesis: Comparative evaluation of 6 survival models on orthopedic disease recurrence.
B.Sc. Comp. Sci., Stats & Maths
Govt. Holkar Science College (2014–2017)
Internship: Statistical analysis of manufacturing processes using EDA and regression.
🏆 Best Paper Award – National Research Writing Competition 2021
📄 Publication – ICOSCM 2021 on Supply Chain Analytics