Headline

Engineering Leader | AI, Machine Learning & Data Platforms | GenAI & Multi Agent Systems | Distributed Computing

About

Senior Staff Engineer with 11+ years of experience building large-scale data, machine learning, and AI platforms. I specialize in solving complex engineering problems at the intersection of AdTech, Machine Learning, Data Platforms, and Generative AI. Currently focused on audience intelligence, user profiling, machine learning systems, and enterprise AI adoption. My experience spans large-scale analytics platforms, distributed systems, machine learning infrastructure, and production-grade AI platforms supporting both customer-facing and internal business applications. Over the course of my career, I have led teams of up to 10–15 engineers, modernized 100+ production workloads, built large-scale data and AI platforms operating on billions of daily advertising events, and driven platform initiatives that delivered measurable gains in engineering productivity, operational efficiency, and cost optimization. Core strengths: • Machine Learning & AdTech: Building audience intelligence, user profiling, and data-driven systems leveraging billions of daily advertising signals to improve targeting, optimization, and business outcomes. • GenAI & AI Platforms: Designed and delivered production-grade platforms including PubMatic Brain, GenISaaS, and Model-as-a-Service capabilities enabling Agentic AI, RAG, and enterprise AI adoption. • Data & Platform Engineering: Deep expertise in large-scale data processing, Spark-based analytics, distributed systems, microservices, and platform modernization, including migration of 100+ production workloads. • Product & Business Alignment: Strong focus on translating technical investments into measurable business impact across ad monetization, publisher analytics, sales intelligence, and operational efficiency. • Technical Leadership: Hands-on architect who enjoys building teams, mentoring engineers, driving cross-functional execution, and influencing technical direction across organizations. Selected impact: • Built enterprise AI platforms and frameworks adopted across multiple business and engineering teams. • Delivered large-scale analytics and backend systems operating on billions of advertising events and signals. • Led platform modernization initiatives that improved infrastructure utilization, engineering productivity, and operational scalability. • Helped establish AI and ML platform foundations enabling faster adoption of Generative AI capabilities across the organization.

Location

Pune Division

AI stack

antigravity

codex

claudecode

Work experience

Principal Product Engineer at BMC Software, May 2026 - Present · 4 mos, Hybrid, Defining platform architecture, engineering standards, and technical strategy for a 0→1 product initiative within BMC's next-generation AI platform.

Senior Staff Engineer at PubMatic, Feb 2026 - May 2026 · 4 mos, Hybrid, • Building machine learning and AI initiatives across PubMatic's advertising platform, with focus on audience intelligence, user profiling, and enterprise AI adoption. • Influencing machine learning roadmap and architecture across multiple engineering, data science, and product teams. • Providing architectural leadership for enterprise GenAI initiatives while expanding adoption of shared AI platform capabilities. • Defining standards for model evaluation, observability, governance, and production readiness across ML and AI systems. • Mentoring senior engineers and technical leads while driving alignment across multiple teams and business domains.

Senior Principal Software Engineer at PubMatic, Mar 2025 - Feb 2026 · 1 yr, Pune District, Maharashtra, India, • Founding member and led development of GenISaaS, an enterprise Agentic AI platform that standardized how teams build, deploy, and operate AI agents across the organization. • Architected and delivered a centralized Model-as-a-Service (MaaS) platform, enabling governed access to multiple LLM providers and reducing duplicate AI infrastructure efforts across teams adding the saving upto ~200K$ annually. • Established reusable standards for prompt management, telemetry, evaluation, vector search, and cloud-native deployment, accelerating production adoption of GenAI solutions. • Enabled AI-powered use cases across publisher analytics, benchmarking, sales intelligence, and internal productivity workflows. • Led and mentored a team of 6–8 engineers while influencing architecture and execution across multiple cross-functional teams. • Helped drive enterprise-wide AI adoption by transitioning development from project-specific implementations to a reusable platform-first model. • Received multiple leadership and innovation recognitions for contributions to AI platform strategy and engineering excellence.

Principal Software Engineer at PubMatic, Feb 2022 - Feb 2025 · 3 yrs 1 mo, Pune District, Maharashtra, India, • Led migration of 100+ production Spark workloads to Spark 3, improving processing efficiency by ~8%, reducing operational overhead, and contributing to infrastructure cost optimization. • Designed and delivered scalable analytics and data processing services supporting publisher reporting, revenue analytics, and business decision-making across billions of daily advertising events. • Built reusable microservices and platform capabilities adopted across multiple engineering teams, improving reliability, maintainability, and development velocity by ~10%. • Partnered with Product, Analytics, and Business stakeholders to translate complex Adtech requirements into scalable technical solutions. • Mentored 4–6 engineers and drove architecture reviews, performance optimization initiatives, and engineering best practices across the organization. • Contributed to modernization of PubMatic's data platform foundations supporting large-scale analytics, machine learning, and customer-facing insights.

Expert Data Engineer at Open Insights, Mar 2020 - Feb 2022 · 2 yrs, Pune, Maharashtra, India, Served as a senior technical lead delivering client-facing data platforms while shaping engineering practices, architecture decisions, and team execution. Led the design and delivery of Data-as-a-Service (DaaS) platforms for telecom and insurance clients, enabling scalable ingestion, transformation, and API-based data access. Owned end-to-end architecture for Customer 360 platforms, integrating distributed data pipelines, cloud-native APIs, and real-time streaming systems. Acted as the technical bridge between clients, product teams, and engineering—ensuring solutions aligned with business outcomes and long-term scalability. Mentored teams of 4–6 engineers, improving delivery predictability, code quality, and platform reliability. Supported onsite client engagements in the US, helping drive alignment, execution, and successful go-lives.

Senior Software Engineer at Open Insights, Oct 2017 - Mar 2020 · 2 yrs 6 mos, Played a key role in developing scalable big data platforms and optimizing data pipelines to support high-volume data processing.

Software Engineer at Barclays, Oct 2016 - Sep 2017 · 1 yr, Pune, Maharashtra, India, At Barclays, I focused on backend development and system optimization to support enterprise banking and insurance applications. Contributed to enhancing the reliability and performance of key platforms, enabling seamless integration with legacy systems. Improved operational workflows by automating data processing tasks and addressing critical system challenges. Collaborated with cross-functional teams to deliver robust and scalable solutions aligned with business requirements.

Application Analyst at Barclays, Jun 2015 - Oct 2016 · 1 yr 5 mos, Pune District, Maharashtra, India

Education

Bachelor of Engineering, Computational Science, Savitribai Phule Pune University

Diploma in Engineering, Computer Engineering, B.S.D Polytechnic,Dhule