Krish Puvvada - AI Product Lead & Technical Product Manager

About Me

AI-driven product leader with a passion for innovation

Accomplished Technical Product Manager with an established track record of delivering measurable results in AI & Machine Learning (ML) operationalization, feature engineering, and inference system projects. Strong experience architecting & delivering cross-platform cloud solutions.

$60M+
Cost Savings Delivered

5B+
FB Entities Processed
ML platform scale

30%
Risk Reduction
Outage prevention achieved

15+
Team Members Led
ML engineers across platforms

Core Expertise

AI & Machine Learning

AI Agents Agentic Workflows LLMs & RAG MLOps ML Operationalization Feature Engineering Inference Systems Model Deployment

Cloud & Platform

AWS Solutions Architect Azure Administrator Cloud Architecture Kubernetes Scalable Systems Data Engineering

Product Leadership

Product Strategy Roadmap Development Cross-functional Leadership Agile/SAFe Data-Driven Decisions Stakeholder Management

Education & Certifications

Master of Science: Computer Science (Data Science)

North Carolina State University

Raleigh, NC

Bachelor of Engineering: Computer Science

Birla Institute of Technology and Science (BITS Pilani)

India

Azure Administrator Associate

SAFe Product Owner/Product Manager

AWS Solutions Architect

AWS Certified Developer

Professional Experience

Leading AI initiatives across industry giants

AI Product Lead

Microsoft Austin, TX July 2023 - Present

Drove an AI Agentic information extraction initiative for the $4.5B Energy Business portfolio, automating data capture and power auditing/forecasting, resulting in $3M in operational cost reductions and enabling predictive maintenance workflows.
Led the Aurora Program, delivering $20M in new Data Center build savings by identifying and activating risk-managed overallocation opportunities through ML models and strategic capacity planning across 15+ global regions.
Reduced outage risks by over 30% via monitoring and targeted interventions, consistently maintaining customer SLAs and ensuring 5 9's (99.999%) availability while supporting Azure's massive scale growth.
Orchestrated cross-functional initiatives to influence AI model enhancements, achieving 25% improvement in coverage while collaborating with 10+ Data Center teams over an 18-month period using feedback loops and real-time data analytics.
Spearheaded development of next-generation capacity forecasting models using LLMs and time-series analysis, improving prediction accuracy by 40% and reducing emergency provisioning events by 60%.

Product TPM, AI & ML Platforms

Meta Platforms (prev. Facebook) Austin, TX December 2021 - June 2023

Created ML representations for 5 billion Facebook entities, saving $60M per quarter in human review capacity by leading a team of 15 ML engineers to implement efficient computation strategies, privacy-compliant storage, plug-and-play models and low latency distribution.
Spearheaded org-wide unification strategy deprecating a large feature engineering platform saving capacity costs by 90% through dependency mapping and aligning efforts across multiple infra teams.
Launched next generation feature development platform resulting in 20% reduction in model development time by driving adoption across Integrity org (>30 enforcement teams) partnering with infra, engineering, user experience and data science orgs.
Drove product strategy and prioritization based on deep understanding of the client needs, cross functional partners constraints & product ecosystem to achieve organization goals, driving user satisfaction by 40%.

Product Lead - Small Business Products

Bank of America Charlotte, NC February 2016 - November 2021

Built digital transformation for SB account opening process, reducing operational cost by 85%, boosting customer satisfaction by 15%.
Executed a quick and novel Small Business (SB) lending solution for Covid response initiative that could handle 250K loan applications in 5 days. Solution handled a 10K times spike in volume compared to prior year.
Developed product strategy, architecture and implementation of web-based call recording solution leading to 15% rise in compliance metrics over previous quarter, by securing funding of $10M and recruiting engineering teams and onboarding a new vendor solution.
Coached & led a team of Product Owners for Small Business loans, cards, deposits and servicing products accelerating feature roll out.
Launched Agile transformation in Small Business org by advocating for banking products based value streams, garnering support and function from business leadership. Small Business Agile release train enabled delivery of over 50 new features faster by 60% compared to waterfall methodology followed previously.

Engineer IT

Cisco Systems Bangalore, India July 2011 - July 2014

Spearheaded an infrastructure overhaul project using Cisco networking solutions, achieving a 50% increase in data throughput and reducing network downtime by 30%.
Delivered advanced automated risk assessments for a portfolio of IT projects amounting to $40M by building automation scripts, alerts, dashboards and rules.
Executed company-wide IT audit process improvement initiatives in establishing a baseline of compliance measures for internal audit teams by collaborating with external audit firm PwC, saving annual audit fees by 10%.

AI Leadership Philosophy

Principles that drive $60M+ results and transformative innovation

Leading AI at Scale

My approach to AI product leadership centers on delivering measurable business impact through strategic vision, cross-functional collaboration, and data-driven decision making. Having led teams across Microsoft, Meta, and Bank of America, I've refined a philosophy that consistently delivers exceptional results.

🎯

Impact-First Strategy

Every AI initiative must drive clear, measurable business value. I prioritize solutions that deliver quantifiable results—whether it's $60M in cost savings or 30% risk reduction. Strategy without measurable impact is just theory.

Applied at: Meta's 5B+ entity ML platform unification

🚀

Scalable Innovation

Build AI systems that scale from prototype to production across billions of entities. Focus on architectural decisions that enable growth, not just current requirements. Think platform-first, optimize for long-term value.

Applied at: Microsoft Aurora's multi-region capacity planning

👥

Human-Centered AI

Technology serves people, not the other way around. Design AI that augments human capabilities and decision-making. Build trust through transparency, reliability, and clear value delivery to both technical and business stakeholders.

Applied at: Bank of America's COVID response lending platform

⚡

Agile Execution

Move fast with confidence through rapid prototyping, iterative development, and continuous feedback loops. Balance speed with quality by building robust testing frameworks and monitoring systems from day one.

Applied at: 5-day deployment handling 250K loan applications

📊

Data-Driven Decisions

Every product decision backed by data, user feedback, and measurable outcomes. Establish clear success metrics upfront and create dashboards that enable real-time course correction. Intuition guides, data decides.

Applied at: 40% user satisfaction improvement through feedback loops

🔄

Continuous Learning

The AI landscape evolves rapidly. Stay ahead through continuous learning, experimentation, and knowledge sharing. Foster a culture where teams embrace new technologies while maintaining production stability and reliability.

Applied at: Cross-functional teams delivering 20% faster development cycles

Leadership Results

$60M+

Quarterly cost savings through strategic ML platform decisions

5B+

Entities processed through scalable AI architecture

15+

ML engineers led across multiple high-impact initiatives

99.999%

Availability maintained while reducing operational risk by 30%

Krish Puvvada AI Product Lead & Technical Product Manager