Aman Khandelwal

Building Tech@OneWorldNation at One World Nation
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Contact Information
Location
Bengaluru, Karnataka, India, IN
Languages
  • Hindi Native or bilingual proficiency
  • English Native or bilingual proficiency

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Experience

    • India
    • Computer Games
    • 1 - 100 Employee
    • Building Tech@OneWorldNation
      • Jul 2022 - Present
    • India
    • Technology, Information and Internet
    • 700 & Above Employee
    • Software Engineer
      • Apr 2019 - Jul 2022
    • Senior Software Engineer
      • Sep 2017 - Nov 2018

      Flows by MoEngage - Campaigns and Notifications • Designed an event-driven finite state machine based architecture for Flows to track user behaviour and visualize end-to-end customer journeys. • Developed Apache Samza based real-time streaming jobs. This system processes 15K user events and 5K user attributes per second. • Developed the backend for Flows for campaign creation and management. • Reduced the memory usage of Flows streaming job by 65% and increased throughput to… Show more Flows by MoEngage - Campaigns and Notifications • Designed an event-driven finite state machine based architecture for Flows to track user behaviour and visualize end-to-end customer journeys. • Developed Apache Samza based real-time streaming jobs. This system processes 15K user events and 5K user attributes per second. • Developed the backend for Flows for campaign creation and management. • Reduced the memory usage of Flows streaming job by 65% and increased throughput to 10X. Data Platform • Core member of the team responsible for upgrading Kafka from v0.8.2 to v1.1.0. • Upgraded all streaming pipelines from Samza v0.11.0 to v0.14.1 and migrated them to new Hadoop YARN cluster, while maintaining consistency and reliability, without any downtime. • Set up and maintained Hadoop YARN clusters for all streaming pipelines. • Set up Druid + Superset based monitoring systems for streaming pipelines. • This system handles more than 3 billion events per day combined across all Kafka topics. Awarded "Rising Star" for outstanding performance for the term 2017-18. Tech Stack: Kafka, Apache Samza, Hadoop, MongoDB, RocksDB, AWS Show less Flows by MoEngage - Campaigns and Notifications • Designed an event-driven finite state machine based architecture for Flows to track user behaviour and visualize end-to-end customer journeys. • Developed Apache Samza based real-time streaming jobs. This system processes 15K user events and 5K user attributes per second. • Developed the backend for Flows for campaign creation and management. • Reduced the memory usage of Flows streaming job by 65% and increased throughput to… Show more Flows by MoEngage - Campaigns and Notifications • Designed an event-driven finite state machine based architecture for Flows to track user behaviour and visualize end-to-end customer journeys. • Developed Apache Samza based real-time streaming jobs. This system processes 15K user events and 5K user attributes per second. • Developed the backend for Flows for campaign creation and management. • Reduced the memory usage of Flows streaming job by 65% and increased throughput to 10X. Data Platform • Core member of the team responsible for upgrading Kafka from v0.8.2 to v1.1.0. • Upgraded all streaming pipelines from Samza v0.11.0 to v0.14.1 and migrated them to new Hadoop YARN cluster, while maintaining consistency and reliability, without any downtime. • Set up and maintained Hadoop YARN clusters for all streaming pipelines. • Set up Druid + Superset based monitoring systems for streaming pipelines. • This system handles more than 3 billion events per day combined across all Kafka topics. Awarded "Rising Star" for outstanding performance for the term 2017-18. Tech Stack: Kafka, Apache Samza, Hadoop, MongoDB, RocksDB, AWS Show less

    • India
    • Technology, Information and Internet
    • 700 & Above Employee
    • Software Engineer
      • Jul 2015 - Aug 2017

      Developed ETL pipelines to aggregate different types of data from various sources to serve SCM Inbound in-house applications including analytics dashboards, pricing management, advertisements and buy-assist systems. Developed keyword ranking algorithm to identify top trending products based on scraped data from competitors and fashion based media. Worked with the pricing team in the Data Science department for dynamic pricing, adaptive discounting, MRP prediction of in-house… Show more Developed ETL pipelines to aggregate different types of data from various sources to serve SCM Inbound in-house applications including analytics dashboards, pricing management, advertisements and buy-assist systems. Developed keyword ranking algorithm to identify top trending products based on scraped data from competitors and fashion based media. Worked with the pricing team in the Data Science department for dynamic pricing, adaptive discounting, MRP prediction of in-house brands, scripting and developing ETL pipelines. Show less Developed ETL pipelines to aggregate different types of data from various sources to serve SCM Inbound in-house applications including analytics dashboards, pricing management, advertisements and buy-assist systems. Developed keyword ranking algorithm to identify top trending products based on scraped data from competitors and fashion based media. Worked with the pricing team in the Data Science department for dynamic pricing, adaptive discounting, MRP prediction of in-house… Show more Developed ETL pipelines to aggregate different types of data from various sources to serve SCM Inbound in-house applications including analytics dashboards, pricing management, advertisements and buy-assist systems. Developed keyword ranking algorithm to identify top trending products based on scraped data from competitors and fashion based media. Worked with the pricing team in the Data Science department for dynamic pricing, adaptive discounting, MRP prediction of in-house brands, scripting and developing ETL pipelines. Show less

    • United States
    • Retail
    • Intern
      • Jul 2014 - Dec 2014

      Worked with the Seller platform team to develop a machine learning based guidance tool for the product Sell for Me, aka eBay Valet. Worked with the Seller platform team to develop a machine learning based guidance tool for the product Sell for Me, aka eBay Valet.

    • Intern
      • May 2013 - Jul 2013

      Worked on applying Dijkstra's algorithm to very large graphs using OpenMP. Worked on applying Dijkstra's algorithm to very large graphs using OpenMP.

Education

  • Birla Institute of Technology and Science, Pilani
    Bachelor of Engineering (BE), Computer Science
    2011 - 2015
  • Modern School Kota - India
    High School
    2006 - 2010
  • Sir Padampat Singhania School
    1995 - 2006

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