Jun 2023 – Jun 2024 · 1 yr · San Francisco Bay Area · Remote

• Contributing to a backend distributed system in Scala for Unlimited Storage System featuring Archive &
• Restore functionality using Temporal Engine, Workflow, and Activities.
• The solution ensures eventual consistency across five backend services for 1MM daily transactions. This led to a significant 30% reduction in annual storage costs equating to $3 million in savings.
• Scaled checksum service using ActiveMQ size-based Autoscaler by doing traffic analysis, system capacity calculation, and load testing in multiple regions to x3 max file size, resulting in 1.5Tb capacity.
• Researched system architecture thoroughly to identify bottlenecks and proposed solutions to the leadership with consideration for various trade-offs. Finalized an approach integrating vertical and horizontal scaling methodologies, ensuring customer satisfaction and meeting deadlines.
• Recognized as a top contributor in Azure abstraction layer development, pivotal in architecting a Monitoring & Alerts system with Grafana and Splunk logging, setting up infrastructure as code with K8s & ArgoApps.
• Executed end-to-end testing with UI, authored 50+ unit tests with Mockito, and fixed 10+ production issues.

May 2022 – Aug 2022 · 3 mos · Seattle, Washington, United States · Remote

• Designed and Developed a Decision engine using Apache Kafka, Databricks, and Scala to archive user’s data in Azure-Blob, achieving 30% more cost-effective than the existing pipeline.
• Enhanced Distributed System communication time by 10% with migration from Thrift to gRPC & Protobuf.

Aug 2022 – May 2023 · 9 mos · Hillsboro, Oregon, United States · Remote

• On-boarded 5+ On-prem and Cloud applications to Elastic Search, Logstash, and Kibana to visualize
• App-usage and Log-Analytics.
• Developed a Subscribe feature in our App Store in Microsoft Power Apps using Power Automate Flow.

Aug 2021 – Jun 2022 · 10 mos · Tempe, Arizona, United States

• • Grader for the course: Intro to Programming Languages (CSE 240)

Nov 2020 – Jul 2021 · 8 mos · India

• Designed a scalable ETL pipeline in Java and Python, leveraging AWS S3, Lambda, IAM, VPC,
• CloudWatch to ingest datasets from on-premise & cloud sources into Snowflake, using IaC with Terraform.
• Collaborated as a member of a Data Engineering team, employing the Agile/Scrum methodology to enhance the code ingestion process for over 20 upstream teams.
• Achieved successful ingestion of 50+ datasets, resulting in a remarkable 73% reduction in ingestion time and saving the business team 25% of manhours.

Jul 2019 – Oct 2020 · 1 yr 3 mos · Noida, Uttar Pradesh, India

• Implemented the COVID-19 specific REST API in penalty management web microservice product.
• Successfully developed and deployed a critical feature requested by multiple state governments of India during the COVID-19 pandemic, completing the task within a week, and serving approximately 25,000 users.
• Suggested and Coded a locking mechanism feature enabling concurrent user collaboration and achieving a 50% efficiency improvement.
• Improved a Licence Plate extraction engine by 10% by analyzing Nigeria’s data and added localization using Image processing and Deep Learning.

Jan 2019 – Jun 2019 · 5 mos · Noida, Uttar Pradesh, India

• Developed and maintained PHP-based RESTful APIs for Search, Stats, and User Management in a penalty management web microservices project with a PostgreSQL database, serving over 8 State Governments of India across approximately 3500 centers.
• Contributed to Full-SDLC including designing, testing, debugging, code-review & documentation.

May 2018 – Jul 2018 · 2 mos · Gujarat, India

• • Extracted salient features from an image using the VGG16 Convolution Neural Network. Salient features are the prominent part of the image that the human eye catches first from any image.