Headline

Director of Engineering | AI, Data & ML Platforms | Scaling 10X Growth in Energy & Decision Systems | Building High-Impact Engineering Organizations

About

I build and scale engineering organizations that power AI-driven, data-intensive systems at global scale. Currently, I lead AI, ML, and data engineering at Enphase Energy, driving the core intelligence behind home energy management systems across grid services, storage, EV, and virtual power plant ecosystems. Over the past few years, I have scaled teams, technology, and business impact by 10X, contributing to sustained 30% QoQ growth in customer base, revenue, and profitability. My work sits at the intersection of: AI/ML systems (forecasting, optimization, computer vision) Large-scale data platforms and distributed infrastructure Real-world energy systems and decision intelligence Key areas of impact: Built and scaled AI/ML and data platforms supporting rapid growth in data volume and system complexity Defined and executed end-to-end AI and data strategy across multiple product lines and international markets Established MLOps, optimization, and computer vision capabilities from the ground up Filed 10+ patents and built a strong innovation pipeline across next-gen energy systems Scaled high-performing, multi-disciplinary engineering teams through organic growth and M&A integration Earlier, I led large-scale data engineering, IoT, and AI initiatives at Dell EMC, building enterprise-grade platforms and consulting solutions across industries. I have also been a visiting faculty at IIM Bangalore, teaching deep learning, NLP, and scalable data systems. I am particularly interested in building and leading organizations that: Operate at scale (platform, infra, and AI systems) Drive measurable business outcomes through data and intelligence Combine deep technical systems with real-world impact Currently focused on expanding into broader engineering leadership roles with end-to-end ownership — building high-performance organizations and driving AI-led transformation at scale. Always open to conversations around scaling engineering teams, data platforms, and AI-driven systems.

Location

Bengaluru

AI stack

hugging face

langchain

langgraph

openai

Work experience

Director Of Engineering, AI, Data & ML Platforms at Enphase Energy, Sep 2021 - Present · 4 yrs 11 mos, Bengaluru, Karnataka, India, - Scaled team by 10X through strategic hiring and M&A integration - Architected and implemented large-scale data-intensive distributed AI/ML platform supporting 10X data growth - Created vision and blueprint for Home Energy Management System's complete AI/Data infrastructure - Established MLOps, Computer Vision, and Optimization capabilities from ground up - Drove 30% QOQ growth in customer base and revenue with strong profitability - Led AI initiatives across Grid Services, Storage, EVSE, VPP, O&M, and Financing verticals - Submitted 10+ patents and trade secrets with robust innovation pipeline - Spearheaded geographic expansion into multiple international markets - Transformed organization to agile methodology with complete CI/CD implementation

AI and Data Engineering Architect at Enphase Energy, Apr 2020 - Sep 2021 · 1 yr 6 mos, Bengaluru, Karnataka, India

Visiting Faculty at Indian Institute of Management Bangalore, Jun 2015 - Present · 11 yrs 2 mos, Bengaluru, Karnataka, India, Modules: • Designing Scalable Data Science Systems • Analytics in Finance • Designing, Developing and Deploying Deep Learning Systems

Fellow at StartingBloc, May 2012 - Present · 14 yrs 3 mos, StartingBloc Fellows are young leaders who share a common set of values. We believe that economic value creation and social value creation are complementary. Fellows come from over 221 undergraduate universities and more than 50 countries. StartingBloc values diversity. More than ethnic or cultural diversity, we believe in diversity of thought. Fellows are selected in part based on their creative thinking because the combination of unique perspectives often leads to innovation. The Fellowship is comprised of people from different sectors, geographies, and cultural backgrounds. The experiences of each Fellow contribute to diverse modes of thought in the community as a whole.

Advisory Architect, Dell EMC Consulting at Dell EMC, Oct 2018 - Apr 2020 · 1 yr 7 mos, Bengaluru, Karnataka, India, Leading Big Data, Data Science, IOT and related infra team, responsible for building features spread across different verticals and geographies. Worked on developing highly fault tolerant systems for Smart City Platform, Data Science as a Service, IOT Real time systems for enterprises. Designed various Data Science solutions for several verticals in the industry as finance, telecom, retail, Developing and leading the data science consulting team at Dell Technologies for developing scalable solutions. Responsible for various projects on data science presales, solution desing, development of algorithms, capacity planning and overall delivery. Responsible for building a highly effective consulting and engineering team by focusing on both execution of delivery and operations excellence. Assist the Discipline leader to ensure delivery readiness for offerings, anticipate capacity needs, and plan for future resource procurement and development. Work closely with the other discipline and delivery leaders to ensure consistency of execution and standards of operational excellence. Hands on experience in software architecture and Design, developing scalable serving systems, back end Services development, infrastructure management, developing data science platforms, Designing and development of Smart city, IOT, Real Time Analytics Systems. Building from ground up in-house highly skilled data science and data engineering team.

Practice Lead at Dell EMC, Oct 2018 - Apr 2020 · 1 yr 7 mos, Greater Bengaluru Area

Principle Solutions Architect, Dell EMC Consulting at Dell EMC, Sep 2016 - Sep 2018 · 2 yrs 1 mo, Greater Bengaluru Area, Working on Big Data driven, data science initiatives

Senior Staff Engineer at Collective, May 2012 - Apr 2015 · 3 yrs, Greater Bengaluru Area, • Lead and Development of programmatic bidder responsible for 100s of thousands of requests per second • Lead and implemented multi-datacenter multi-tier ad serving and targeting systems ensured uptime and scalability (10s of thousands of requests per second, <10ms response times) • Worked on cross functional teams of Data Science and product engineering • Worked on a rock solid scalable dedicated data pipeline for centralized Audience storage and syndication (internal & partners) system • Worked on a scalable Analytics and Dash boarding framework for advertisers

Education

Master of Science - Computer Science (Specialization: Artificial Intelligence), Artificial Intelligence, Northwestern University

Executive Program in Business Analytics & Intelligence (Data Science Specialization), Indian Institute of Management Bangalore