Headline

Engineering Manager @ New Relic | Leading AI & Data Platform Innovations

About

I'm an Engineering Manager with 12+ years of experience building and scaling Data Engineering, AI, and Platform solutions — from hands-on data pipelines to leading high-performing teams of 24+ engineers. My work sits at the intersection of data infrastructure, AI innovation, and engineering leadership. I've architected systems that process petabytes of data monthly, driven $1M+ in cost optimizations, and built AI-powered products adopted by 40+ stakeholders across organizations. At New Relic, I'm currently leading teams across Data Platform, Data Products, and Agentic AI — including a Text-to-SQL LLM product that cut analyst query time by 60%, and an MCP-based agent platform that brings AI capabilities to real-world workflows. Earlier at Rakuten, I built a multi-tenant PaaS platform serving 80+ data scientists and managed MLOps pipelines delivering 50M+ predictions daily at 99.95% reliability. What drives me is turning complex data and AI challenges into scalable, production-grade solutions — and building the teams that make it happen. I'm deeply passionate about Generative AI, Data Platform engineering, and technical leadership — always looking for ways to bridge engineering excellence with meaningful business impact. Let's connect if you're working on something exciting in AI, data, or platform engineering.

Location

Greater Bengaluru Area

AI stack

anthropic apis

claude code

claude

gemini

Work experience

Engineering Manager at New Relic, Sep 2024 - Present · 2 yrs, Agentic AI Platform – Built a platform to host AI agents and tools using custom MCP. 4 agents with multiple tools are hosted serving various use-cases. Built atleast 10 agents using AI-DLC and SDD using Open Spec & Spec-Kit • Data Platform o Led 6-engineer team to architect Data Ingest Framework supporting 50+ data science engineers, processing 10TB data monthly, reducing infrastructure costs by $500K annually o Cross-collaboration with 3 internal teams to migrate 50+ Billing Pipelines from Snowflake to Standard Architecture built on Iceberg serving 2TB’s of data daily o Implemented OpenMetadata Data Catalog solution, integrated across 100+ billing pipeline components, enabling end-to-end data lineage for $500M+ annual billing operations and reducing data troubleshooting time by 70% for 50+ data scientist Internal Data Product – Implementation of AI-DLC using Spec Driven Development. Designed and launched Text-to-SQL LLM product (OpenAI-powered) enabling 40+ non-technical stakeholders to generate executable SQL queries, reducing analyst query time by 60% and handling 100+ queries/week across Snowflake

Engineering Manager at Rakuten, Mar 2023 - Sep 2024 · 1 yr 7 mos, Bengaluru, Karnataka, India

Associate Engineering Manager (Devops) at Rakuten, Jan 2021 - Mar 2023 · 2 yrs 3 mos, Bengaluru, Karnataka, India, Formed a central Devops Team of 10 people to manage hybrid Infra , on-prem + public cloud, maintaining the uptime and SLA

DevOps Tech Lead at Rakuten, Jan 2020 - Jan 2021 · 1 yr 1 mo, Bangalore Urban, Karnataka, India, Worked to set up containerisation environment using Kuberenetes with standard Devops practices including Logging , Monitoring , Support etc

Associate Product Manager at Eros Digital, Feb 2017 - Jul 2017 · 6 mos, Bengaluru, Karnataka, India, Worked to set up LiftIgniter for recommendation of movies for premium paying customers of Eros

Data Engineer at Eros Digital, Apr 2016 - Jan 2017 · 10 mos, Bengaluru, Worked extensively on Redshift for Data processing, set up Data pipelines and several Tableau dashboards

Decision Scientist at Mu Sigma Inc., Feb 2016 - Apr 2016 · 3 mos, Bengaluru, Karnataka, India

Trainee Decision Scientist at Mu Sigma Inc., Aug 2014 - Feb 2016 · 1 yr 7 mos, Greater Bengaluru Area, As a Trainee Decision Scientist, my responsibilities include: 1. Understanding the business objective 2. Formulating hypothesis to solve the business objective 3. Testing the hypothesis through data analysis 4. Generating insights and metrics 5. Setting the right expectation with the clients 6. Delivering the valuable output Most of my work has primarily been in the field of Big Data where i have worked on complex and messy data sets and generated insights from them. I have experience working on the cloud directly in the client environment on different clusters.

Intern at IBM, Jun 2013 - Aug 2013 · 3 mos, Bengaluru, Karnataka, India, The Internship involved developing Smart Farming Android App. This Android app was meant to make the life easier for farmers by reducing the effect of middlemen in selling their crops. It shows the farmers the nearest warehouses where the farmers can sell their crops and the prices they are offering, the predicted price of the crops in all months and many other features. The app was developed successfully.

Education

Bachelor of Engineering (B.E.), Information Technology, M.S Ramaiah Institute of Technology

12th, D.A.V public school