Apr 2022 – Jul 2024 · 2 yrs 3 mos

• Tokopedia is an Indonesian technology company that provides an e-commerce platform for customers and merchants.
• Managing a global engineering team consisting of managers, architects, engineers and product managers.
• Developed large-volume data ingestion services (batch and stream) that ingest data into a data lake (BigQuery - columnar storage) with low latency, as well as a self-service pipeline orchestration framework on top of Apache Airflow.
• Built Self-serve tools to manage   data warehouse, data marts, data quality, data governance, data discoverability and cost management dashboards.
• Envisioned and implemented Domain Data Platforms (Data Mesh) for over 20 business units
• Built the Customer/Merchant/Affiliate/Product Data Platform for Tokopedia's business, that provide personalized experiences to customers and merchants.
• Assessed various cloud vendors based on pricing and technical attributes to find the best cost-effective and technologically appropriate option for business continuity.
• Built a unified ML feature store to streamline operations, including feature generation, discovery, batch and low-latency serving to ML models, and data quality.
• Led various cost saving initiatives for data platform that helped save $200k/month, including data lifecycle, tech optimisations of cloud utilisation, and architectural improvements of various services.
• Lead the initiative to develop personalisation services such as segmentation and user journey platforms, which serve 1 Billion notifications each month to 30 million MAU. This replaced third party MoEngage service with an in-house framework, resulting in cost savings of $400k per year.

Jul 2020 – Mar 2022 · 1 yr 8 mos

Oct 2019 – Jul 2020 · 9 mos · Hyderabad Area, India

• Elephanta.ai is an AI Technology company focusing on providing automated Machine Learning products & services to solve business problems. The platform also supports self-service data analytics and collaboration platform for data engineers, data scientists, & Business analysts. It helps in operationalizing ML models in hours instead of months and provides code free data insights & visual data analytics.
• Responsible for product development, design, architecture, product roadmap, strategy and management.
• Responsible for business model analysis, marketing, and enterprise sales.
• Worked on a wide range of technologies: Apache Spark, Spark MLlib, Spring Boot, Spring Security, ReactJS, MySQL, Kafka, and Redis​.

Oct 2018 – Oct 2019 · 1 yr · Hyderabad Area, India

• Responsible for global engineering, including the development of location-based services that can be utilised for city planning, store placement, and offline-to-online advertising attribution. and geo-targeted ads.
• Recruited and managed a high performance team of developers, testers, program managers, and DevOps.
• Leading a global engineering organization of architects, developers, QA, UX designers, DevOps and PM.
• Lead teams to develop and deliver location based services platforms that can scale ~10 billion events per day.
• Lead India R&D development center and also took care of India operations and compliances..
• Worked on a wide range of technologies: Apache Spark, Spring boot, Spring security, ReactJS, elasticsearch, mysql, Kafka, and Redis.

Mar 2015 – Sep 2018 · 3 yrs 6 mos · San Francisco Bay Area

• Intertrust provides a powerful cross-channel user understanding platform to provide world-class mobile analytics and a rich visualization of customer behavior. Clients can gain valuable insights of customer locations, behaviors, social media interactions, and app usage with Intertrust Edge analytics.
• As a software architect, I created a system capable of handling billions of events per day and allowing for both vertical and horizontal scalability. .
• Used best possible technologies like Netty for RESTful web services, Apache kafka for queuing, Apache storm for real time processing, Apache spark for offline processing, Spark Streaming, Elastic Search for document storage, Aerospike for distributed caching. .
• Service oriented architecture (SOA) model is being used for development of back-end services.
• Reduced hardware cost by 70% by analysing the gaps in technology and tuning best possible configurations and also by migrating existing platform to use best technology choices available.
• Code reviews for each commit to git repository to make sure all engineers are following coding standards.

Aug 2014 – Mar 2015 · 7 mos · Hyderabad Area, India

May 2011 – Aug 2014 · 3 yrs 3 mos · Hyderabad Area, India

Aug 2008 – May 2011 · 2 yrs 9 mos · Mumbai Area, India