Sep 2023 – Present · 2 yrs 8 mos · Bengaluru · On-site

• Acceldata is a Data Observability Cloud Platform that helps enterprises monitor, validate, and optimize their data pipelines, data quality, and cloud workloads across the entire data lifecycle. It ensures reliable, cost-efficient,and compliant data operations at scale for analytics, AI/ML, GenAI / LLMs and business-critical applications.
• Lead engineering teams delivering data reliability, governance, observability, and cloud optimization capabilities for large enterprises. Drive execution of high-scale distributed systems and data platform initiatives that directly improve uptime, compliance, cost efficiency, and operational resilience across customer environments.
• Own end-to-end delivery across multiple product lines while shaping engineering culture, team growth, technical direction, and cross-functional collaboration with product, customer success, and executive stakeholders. Mentor managers, architects, and high-performing ICs to build strong technical leadership and predictable execution.

May 2022 – Present · 4 yrs · Bengaluru, Karnataka, India · Hybrid

• At H1, our mission is nothing short of creating a healthier future worldwide by unlocking and democratizing global access to critical expertise, HCP information, claims data, ground-breaking research and discoveries, and connected insights for all - doctors, researchers, industry and, ultimately, patients - bringing everyone closer together to advance medicine and clinical outcomes through technology and data.
• Led engineering for the Big Data & ML platform powering global healthcare intelligence - HCP profiles, claims, research insights, and customer analytics for life sciences organizations.
• Designed and delivered the ML-driven HCP data platform aggregating 20M+ rich profiles with 95%+ dedup accuracy, forming a unified, compliant healthcare data foundation that improved NPS by ~15% and unlocked $150M+ revenue opportunity.
• Built and scaled high-performing engineering teams while driving a culture of ownership, innovation, and high-bar delivery.
• Executed a platform roadmap focused on data quality, ML accuracy, scalability, and reliability, enabling faster product launches and deeper analytics.
• Partnered closely with Product, Research, Content, Customer Success, and Executive leadership to align platform investments with customer and business outcomes.

Aug 2020 – May 2022 · 1 yr 9 mos · Greater Bengaluru Area · Remote

• Led the India Data & ML Platform organization and collaborated with cross-functional teams across the US and Germany to deliver AI-powered supply chain intelligence solutions, including weather-based demand forecasting, real-time replenishment, and logistics optimization.
• Partnered with global product, sales, and customer success leaders to align platform capabilities with enterprise retail and manufacturing clients' business goals, driving data-driven decision-making and ensuring 99.9% SLA adherence across mission-critical services.
• Influenced executive stakeholders and contributed to multi-year product strategy and cost optimization planning, balancing OpEx efficiency with innovation velocity while fostering a globally distributed, outcome-oriented engineering culture.

Aug 2018 – Aug 2020 · 2 yrs · Bengaluru · On-site

• Co-founded and scaled an ML-powered interior design-tech platform automating the full lifecycle - from customer discovery to project execution - unlocking value in a ~$30B Indian interiors market.
• Owned product vision and platform architecture, launching a unified marketplace and scaling to 200+ designers and 150+ vendors.
• Delivered a data-driven digital experience with smart vendor matching, project tracking, and SLA governance - cutting delays by 38% and improving NPS to 4.6/5.
• Built a scalable multi-tenant platform and automated key operations, enabling 10× user growth with only 30% engineering scale-up.
• Pivoted from retail interiors to enterprise projects, expanding into corporate offices, hotels, restaurants, gyms, and large architectural design engagements.

May 2016 – Aug 2018 · 2 yrs 3 mos · Bangalore · On-site

• Drove the roadmap execution and delivery of LinkedIn’s Big Data (Hadoop) platform powering 100PB+ data for 600M+ members and global analytics workloads.
• Managed and scaled high-performing Big Data engineering teams, driving execution excellence, technical depth, and platform reliability.
• Delivered high-impact initiatives including GDPR compliance across data systems, developer productivity accelerators, and Hadoop Job Autotuning that reduced resource consumption and execution time at scale.
• Built strong cross-functional partnerships with product, infra, and analytics stakeholders to align business needs with platform evolution.
• Served as an active member of LinkedIn’s Hiring Review Committee (HRC) to drive high-bar talent decisions for engineering org.
• Organized and hosted Spark meetups at LinkedIn Bangalore to strengthen LinkedIn’s engineering brand and tech community engagement.

Jul 2014 – May 2016 · 1 yr 10 mos · Bangalore · On-site

• Led engineering for the Data Platform and Mobile Platform, building large-scale data solutions and a high-performance mobile ecosystem to rapidly grow driver base and enhance rider experience.
• Led multiple cross-functional teams (Data Platform, Mobile Apps, Backend Services), driving architecture, design, delivery execution, roadmap planning, and engineering best practices.
• Owned the mobile platform execution, ensuring timely delivery of customer- and driver-facing features with high availability, performance, and quality.
• Designed and delivered a high-accuracy trip distance calculation system using GPS + Google APIs, solving a core industry pricing and billing challenge.
• Drove technology evaluations and platform choices across various initiatives to ensure scalability, reliability, and cost effectiveness.
• Partnered closely with Product, Operations, Finance, Marketing, and CEO office to translate business priorities into engineering outcomes and measurable business impact.
• Built and scaled strong engineering teams - hiring top talent, mentoring engineers, managing performance, and aligning growth with organizational goals.

Mar 2011 – Jul 2014 · 3 yrs 4 mos · Bangalore

• Worked as Sr. Data engineer, working on Hadoop technologies, processing large amount of weblogs/clickstream and user entered data using Hadoop technologies (Like: MR,Hive,Pig,Hbase).
• Responsible for architecture and design of Data warehouse projects for team IDEA (Intuit Data and Engineering Analytics), Intuit’s Centralized data warehouse system.
• Worked on IAC (Intuit Analytical Cloud) a Big Data Initiative, for processing of over 300TB of web logs/clickstream and UED data for all Intuit Products.
• Conceptualised, developed & managed the analytical solution for txtWeb platform(Mobile SMS-based platform) that is now being used by over 4 million customers.
• Worked as UTC (Unstructured Time Champion) for Intuit India. As an UTC, facilitated all unstructured time projects taking place within my team.

Jan 2008 – Jan 2011 · 3 yrs · Greater Bengaluru Area

• Worked as Senior Software Engineer in Advertiser Analytics team at Yahoo! R&D India.
• Contributed in the architecture, workflow design and development of Ads and Search Data warehouse and platform projects.
• Worked as a Software Development Engineer at Microsoft R&D (Bing Search), following the Yahoo–Microsoft Bing Search acquisition.
• Contributed to the Bing Advertiser Analytics platform, focusing on insights and performance reporting for advertising partners.

Jan 2005 – Jan 2008 · 3 yrs · Navi Mumbai, Maharashtra

• • Responsible for building the data pipeline, ETL process for Reliance infocomm Billing and Decision Support System that helped business users to leverage the data and make informed decisions