Jun 2023 – Oct 2024 · 1 yr 4 mos · Bengaluru, Karnataka, India · On-site

• Building Ola Maps

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India · On-site

Nov 2021 – Jan 2023 · 1 yr 2 mos · Gurugram, Haryana, India

• Data Delivery - A real time data pipeline processing billions of events daily. It is a distributed and highly scalable pipeline. Tech - Kafka, Postgres, Redis, Prometheus, Grafana, AWS, Datadog.
• Set up monitoring and alerting using Prometheus and Grafana.
• Reverse geo coder - getting the iso country code from the lat, long. QPS - 1M/s, Accuracy 99.5%.
• Device Capability - Using capabilities(Motion and Idling status) of the GPS devices directly instead of calculating our own in order to reduce the delay and to increase the accuracy.

Jun 2019 – Nov 2021 · 2 yrs 5 mos · Hyderabad, Telangana, India

• Name Conflation - An ETL pipeline which auto conflates the names to the road segments from the various external and internal sources including 3dv data based on geometry match. Led the project. Worked with multiple stakeholders including operations and editors, made lots of enhancements and bug fixes, added few features.
• Developed an ETL pipeline based on Spark to find Vehicle Entry and Exit points for POIs(Addresses). This takes Road Network having Form Of Ways and address points as inputs and auto apply the Entry and Exit points.

Apr 2018 – Jun 2019 · 1 yr 2 mos · Hyderabad, Telangana, India

• Designed and developed a Distributed Graph processing algorithm to find all the connected road network in Apple Maps using Apache Spark and Pregel. This helped in solving many complex use cases related to Maps.
• https://stanford.edu/~rezab/classes/cme323/S15/notes/lec8.pdf
• https://stanford.edu/~rezab/classes/cme323/S16/notes/Lecture16/Pregel_GraphX.pdf

Sep 2016 – Mar 2018 · 1 yr 6 mos · Gurugram, Haryana, India

• Implemented Trip Model: This model processes different continuous streams (DBWriter, MSC, etc) and gives network-level trips.
• Generic Data Extraction Framework: A Spark batch job that extracts underlying data in Hdfs and apply filters and transformation based on configuration, store the data in the desired format, do the partition on data and send it to the remote location. Failure scenarios handled.
• Worked on SMS model: Decoding the MSC SMS streams, applying validations and transformations on fields, and then analyzing the data. For data analysis I used Presto.

Jun 2014 – Sep 2016 · 2 yrs 3 mos · Gurgaon, India

• Ameyo 4.0 - Redesigned and added features in web application for agents. Key responsibilities were to understand the requirements from PM, design HLD and LLD and do code reviews.
• Developed a feature in Ameyo - Physical Media and Failover Management - (Auto failure detection and switching of physical media in case of temporary and permanent failure).
• Worked on Interaction Campaign(A passive media (e.g. Email) support in customer interaction).