Jan 2021 – Jan 2022 · 1 yr · On-site

• Led a team of 150+ software and data engineers, data scientists, and platform engineers across India, Poland, Spain, and the Netherlands.
• Implemented Agile methodologies during department expansion, increased productivity by 15%
• Directed TomTom’s vision for the ADAS level 3 platform in production
• responsible for end-to-data and response management embedded within the autonomous vehicle
• Transformed data management for location ecosystem with operational scale of ~77mil HTTP calls, ~14 TB of data transfer running ~900mil data query resulting in close to 30k immutable, federated map dB updates via running close to 800k validation rules every hour.
• Led Map-point, Map's platform, Routing APIs, ADAS & Open Street Map verticals accounting for € 600 million in revenue.
• Led end-to-end Implementation of custom MLOPs solution - Sifu based on Uber's Michelangelo architecture.
• Collaborated with companies like Microsoft, Uber, Meta, and Spotify to define & develop the OpenStreetMap framework. Currently used by over 300 million people worldwide.
• Designed 80+ API-based routing traffic, POI, and Address point interaction platform – MapPoint
• Led the implementation of the Gaming Map API solution for EA, Rockstar, etc.
• Led Principal and data architecture teams to manage the state-of-the-art Product and platform development. (Managing 25+ Architects across 4 products & 3 Platforms)
• Recruited, groomed & managed a computer vision and NLP team of 50+ data scientists, engineers, and analysts to form a core data analytics and experts’ team.
• Implemented Data Mesh based enterprise data platform based on technologies like Databrick, Synapse & Snowflake

Jan 2020 – Mar 2022 · 2 yrs 2 mos · On-site

• Led a team of 150+ software and data engineers, data scientists, and platform engineers across India, Poland, Spain, and the Netherlands.
• Directed TomTom’s vision for the ADAS level 3 platform in production
• AI powered- Real-Time Incident Detection : Built a real-time incident
• detection system using LLMs and ML algorithms to identify and report traffic
• incidents, Enhanced incident detection speed by 30% and accuracy by 20%,
• providing timely information to users and reducing response times.
• Enhanced Map Update Automation:
• Developed an AI-based system for automated map updates leveraging
• satellite imagery and LLMs.Reduced map update cycle time by 40%, ensuring
• more accurate and up-to-date maps for users.
• Led the implementation of a Data Mesh architecture integrating data from
• 5,000+ global sources daily. This initiative boosted real-time data availability
• and accuracy, directly supporting multiple business verticals at TomTom.
• Design and Scaled data ecosystem for location ecosystem with operational
• scale of ~77mil API calls,
• ~14 TB of data transfer running ,900mil + data
• query resulting in close to 30k immutable ,federated map dB updates via
• running close to 800k validation rules every hour.
• Led Map-point, Map's platform, Routing APIs, ADAS & Open Street Map verticals accounting for € 600 million in revenue.
• Led end-to-end Implementation of custom MLOPs solution - Sifu based on Uber's Michelangelo architecture.
• Designed 80+ API-based routing traffic, POI, and Address point interaction platform – MapPoint
• Led the implementation of the Gaming Map API solution for EA, Rockstar, etc.
• Led Principal and data architecture teams to manage the state-of-the-art Product and platform development. (Managing 25+ Architects across 4 products & 3 Platforms)
• Tech Stack: Azure, AWS, Data Bricks, Snowflake, Spark, Kafka, Kubernetes, Airflow, Nifi, Sedona, React, Node, Mongo dB, Cosmos, Azure Blob , Synapse, Neo4j, Postgres , S3, Atlan , Valohai and few others

Jul 2019 – Sep 2020 · 1 yr 2 mos

•  As the Digital Lead for EY Global, I was responsible for leading the integration of digital strategy across EY's service lines and sectors, including BFSI, Manufacturing, Retail, and Startups. My role also involved supporting clients in their digital transformation journeys.
• During my tenure, I achieved the following:
• Led the integration of digital strategy across all EY service lines and sectors in India and built a digital services portfolio.
• Oversaw and shaped leading-edge and innovative digital and new technology deals across North America & EMEA.
• Coached next-level leaders and enhanced the career experience of the business & technology team.
• Led several engineering organizations on both sides of consulting and implementation. I was responsible for building and leading large, diverse, cross-functional teams (100+ people across EMEA and North America).
• Spearheaded an IT strategy and implementation ($100M+ initiative) to move enterprise applications to a hybrid Cloud Computing environment with Amazon Web Services and Microsoft Azure. This resulted in operational cost savings (20% Opex) and enabled unprecedented business agility, application modernization, and process optimization.
• Co-created a Digital Business Transformation Office for cloud-based IT architecture, operating environment, security, and regulatory/compliance requirements.
• Provided technology leadership and direction for establishing a cloud-based loan origination, sales acquisition, and servicing platform based on Salesforce.
• Launched cloud-based business process management (BPM) and Robotic Process Automation (RPA) to enhance IT's ability to respond to business demands and automate legacy manual processes.
• Led business and IT architecture and strategy to introduce new revenue streams such as Real-Time Payments (RTP), web-based payment initiation, etc.

Jan 2017 – Jul 2019 · 2 yrs 6 mos

• Digital Strategy: Led the integration of digital strategy across EY’s service lines and sectors, including BFSI, Manufacturing, Retail, and Startups.
• Global Programs: Managed over 10 digital transformation programs, each valued at over $100 million.
• Revenue Growth: Launched new technology practice verticals, generating $150 million in annual revenue.
• Team Building: Built and groomed large, diverse, cross-functional teams of 200+ engineers, data scientists, and domain experts across EMEA and North America.
• Consulting & Implementation: Led key transformation engagements with major clients like Spotify, LYFT, and the European Union.

Jan 2015 – Jan 2016 · 1 yr

• Led the foundation's organization of a data platform that enables Netflix's analytical and operational needs in data movement, processing, storage, and access across all business units.
• Implemented data ecosystem supporting 1 trillion events per day, Handling 10PB of daily incremental data to support 10mil QPS.
• The organization has 4 verticals across the spectrum of data needs, which includes
• 1) Realtime Data Engines - This organization provide paved path solutions for the transformation, computation and transportation of data in real time which involves providing managed products with Kafka for data movement, Flink and Mantis for real time data processing.
• 2) Big Data Compute and Warehouse - This organization provides high performance, scalable distributed data processing at rest (with engines like Spark, Trino and Druid), optimal storage of data in the Data Warehouse (with Iceberg table format) and other supporting technologies.
• 3) Online Data Stores - This organization provides high leverage datastores as a managed service at scale, to support all operational data needs spanning across (Live) Streaming, Studio and Gaming businesses for Netflix. The spectrum of data stores include Cassandra, EVCache, Dynomite, CockroachDB, Elastic Search.
• 4) Data Platform - This organization enables Data Platform to provision, deploy, and operate a wide variety of data systems at massive scale by providing high-leverage infrastructure and expertise.

Jan 2014 – Jan 2017 · 3 yrs

•  My role as an executive included participation in Netflix's senior leadership team, and contributing to business strategy discussions and decisions.
•  Led Netflix's Data & Insights organization.
•  Led and implemented Netflix data ecosystem supporting 1 trillion events per day via streaming ingestion pipeline, which processed and stored ~100 PB of data in DB warehouse build of federated architecture. To support data injection, exploration, transformation & analysis at scale. Which supports content streaming across 130 countries for 100mil+ subscribers to deliver 125mil + hours of high-quality content every day while supporting close to 4000 different devices.
•  Data platform enables Netflix’s fleet of services to capture ~700+ Billion events every day while enabling various services to write 300 TB data on federated storage and streaming solutions in turn resulting in 5 PB of reads per day.
• Build out the large-scale media processing infrastructure to support the growing compute/storage needs for media compression, and to reach global rollout. It is a framework for efficient
• In role of leading team of Data Science and Data Engineering:
•  Grew and led Netflix's Data Science & Engineering organization, a centralized group that helped optimize all parts of the Netflix business, focusing on:
•  Internal decision support through metrics, insights, predictive models, and analytic tools.
•  Research & development of new models and algorithms that directly improve the Netflix service.
•  Optimization models and other automation to reduce costs and create efficiencies.
•  Consumer and user research to directly learn about people's experiences, needs, and wishes.
•  The team tackled these challenges across the many exciting business areas at Netflix including the member-facing product and recommendations, streaming delivery, content, studio production, marketing, customer service, business operations, and more.

Jan 2014 – Jan 2016 · 2 yrs

• In the capacity of Director of Engineering, Led Engineering for Netflix Ad Tech &
• Customer Acquisition
• Digital Advertising: My team develops algorithms for targeted advertising, real-time bidding, and
• optimal budget allocation. We explore innovative ways to advertise on platforms such as
• Facebook and YouTube to maximize the causal impact of Netflix's advertising
• Customer Acquisition: My team optimizes the signup funnel to improve conversion rates.
• Initiatives include AB testing, Exploring/Exploring with multi-armed bandits, and machine learning
• models for signup personalization
• Led and implemented Netflix data ecosystem supporting 1 trillion events per day via streaming
• ingestion pipeline, which processed and stored ~100 PB of data in DB warehouse build of
• federated architecture. To support data injection, exploration, transformation & analysis at scale,
• Which supports content streaming across 130 countries for 100mil+ subscribers to deliver 125mil
• + hours of high-quality content every day while supporting close to 4000 different devices
• Data platform enables Netflix’s fleet of services to capture ~700+ Billion events every day while
• allowing various services to write 300 TB data on federated storage and streaming solutions , in turn
• resulting in 5 PB of reads per day
• Grew and led Netflix's Data Science & Engineering organization, a centralized group that helped
• optimize all parts of the Netflix business, focusing on:
• o Internal decision support through metrics, insights, predictive models, and analytic tools
• o Research & development of new models and algorithms that directly improve the
• Netflix service.
• o Optimization models and other automation to reduce costs and create efficiency

Jan 2012 – Jan 2014 · 2 yrs · Zürich Area (Switzerland) ,Oslo (Norway), Detroit (USA) · On-site

• As Engineering Mnager lead the formation of Azure data services team and SharePoint O365 team of 40+ Java , forntend and backend developers and data warehouse experts.
• Led the Artificial Intelligence and Research (AI+R) organization working in Search Technology Center to support various relevance and ranking problems in the Bing stack.
• Build the People Also Ask feature, which shows the next follow-up question that a Bing user is likely to ask given a query. This involved using deep learning technologies to predict follow-up questions from search logs and web documents.
• Building support for natural language browsing and search actions on the Bing application for multiple devices.
• Supporting personalized answers for stocks and flights via Cortana, Bing, and Edge from user selected favorite-list.
• Built high performance org from scratch. Responsible for attracting, hiring, retaining and growing talent.
• Heading engineering and product development to deliver 1st party Azure Cache service.
• Driving key customer and partner engagement to drive product growth.Championing Diversity and Inclusion for more than 200+ folks organization.
• Led the initiative of migration of on-premise data (Oracle/ SQL Server/ DB2/ MongoDB) to Azure Data Lake Store (ADLS) using Azure Data Factory (ADF)analyzing the Data from different sourcing using Big Data Solution Hadoop by implementing Azure Data Factory, Azure Data Lake, Azure Data Lake Analytics (U-SQL), HDInsights, PIG contributing to saving of $ 15 million with a large BFSI partner.

Jan 2010 – Jan 2012 · 2 yrs · Dubai, Vienna, Greenwich · On-site

• As Technology Leader was responsible for delivering architecture, consulting, and implementation strategy for customers
• Engage in senior-level technology decision-maker discussions related to agility and business value
• Managed multiple consulting and product developments projects on app development , cloud computing and business intelligence through the entire project lifecycle ,while maintaining high customer satisfaction
• Lead the technical analysis and develop and implement the overall technical solution for over 5 large retail and CPG customers resulting in operational efficiency of 30% and bring the innovation cycle down by 50% .
• Lead the architecture transformation , design, and implementation of legacy systems to microservices architecture transition for $100 million + transformation project.
• Lead emerging technologies team in evaluating their COTS and SaaS solutions for business goals and requirements for multiple clients
• Inherited team of 15 developers and system admins , scaled the team to 80+ engineers while maintaining less than 3% attrition rate.

Jan 2010 – Jan 2011 · 1 yr

Jan 2009 – Jan 2010 · 1 yr

• In capacity as an architect lead data comparison team for Audible before Audible got acquired by Amazon.
• Played key role in AWS cloud service development of ELB and EBS team.
• Participated in designs and implementation of ELB service based on Hyperplane.
• Lead data compression and encryption practice under EBS team.