Summary
Overview
Work History
Education
Skills
Projects
Timeline
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OMKAR GUNGE

Summary

Experienced Software Engineer specializing in backend and full-stack development, skilled in building scalable microservices, event-driven architectures, and robust APIs. At Amazon, I designed high-impact solutions leveraging AWS services (Lambda, DynamoDB, Redis) and AI-based automation (Claude 3.5 Sonnet), significantly enhancing performance, reducing latency, and optimizing engineering workflows. Passionate about developing innovative technology at scale, continuously delivering high-quality software aligned with business objectives.

Overview

4
4
years of professional experience

Work History

Software Engineer

Amazon
Seattle, WA
08.2022 - Current
  • Designed and launched a Prime Video Recommendations Widget, serving millions of users weekly, optimizing content discovery through scalable, high-performance microservices.
  • Orchestrated serverless workflows using AWS Step Functions and Lambda, automating content processing and reducing manual validation errors by 70%, resulting in faster content delivery cycles during peak seasons.
  • Developed a backend LLM-based automation tool using Claude 3.5 Sonnet to transform templated UI into reusable components, reducing engineering workload by 60%.
  • Enhanced system security by implementing fine-grained IAM controls, authentication token propagation, and secure API gateway configurations.
  • Developed resilient, low-latency APIs (GraphQL, RESTful) to enhance real-time recommendations, reducing response time by 30%.
  • Integrated Redis and DynamoDB for caching and storage, reducing API latency by 30%.
  • Built automated metadata-driven workflows to improve content ingestion, validation, and asset delivery at scale.
  • Enhanced operational workflows by resolving production incidents and conducting root cause analysis using AWS tools, including CloudWatch, SNS, SQS, and S3, demonstrating accountability and expertise in addressing production challenges.
  • Collaborated with cross-functional teams to refine data pipelines, aligning Appstore metrics with a machine learning-based ranking schema, enhancing usability and analytics for downstream teams.
  • Streamlined CI/CD pipeline integration, reducing deployment times by 40%, improving developer efficiency and system reliability.
  • Developed high-scale, low-latency microservices to power the Amazon Selling Partner Appstore, optimizing API response times for external partners.
  • Mentored new engineers, accelerating onboarding time by 30% through structured documentation and technical guidance.
  • Led the launch of Amazon Selling Partner Appstore in South Africa, overseeing the full engineering lifecycle while ensuring compliance with global scalability and content distribution best practices.

Research Assistant

University of Colorado
Denver, CO
08.2021 - 04.2022
  • Built a route-tracking iOS app using Xamarin to support real-time data ingestion for transport research.
  • Deployed data pipelines that monitored commute patterns, improving the quality of environmental research.

Design Innovation Team Member

Comcast Media and Technology Center
Denver, CO
06.2021 - 08.2021
  • Implemented ASP.NET-based search systems for SEEE.org, improving UX and search relevance.
  • Enhanced student decision-making tools by building interactive Figma prototypes with backend ASP.NET an integration.

Education

Master of Science - Computer Science

University of Colorado Denver
07.2022

Bachelor of Engineering - Information Technology

MGM University
05.2019

Skills

Programming Languages Java, Python, C#, C, JavaScript (ES6), TypeScript, SQL, Scala

Frameworks Spring Boot, ASPNET, Django, NodeJS, ReactJS, JUnit, Mockito, Maven

Technologies & Cloud AWS (Lambda, S3, CloudWatch, DynamoDB, SNS, SQS), Azure, Kubernetes, Docker

APIs & Distributed Systems GraphQL, RESTful API, Microservices, gRPC, Event-Driven Architecture

Others System Design, Performance Tuning, Multi-threading, Concurrency, Software Engineering

Projects

Scalable Content Moderation System with Natural Language Processing (NLP)

  • Built a backend content moderation system using Python and FastAPI to flag offensive text and images in real time.
  • Designed event-driven microservices architecture with SQS queues and Lambda functions for decoupled processing and stored metadata and flagged results in DynamoDB and maintained audit logs in S3 for transparency and compliance.

Timeline

Software Engineer

Amazon
08.2022 - Current

Research Assistant

University of Colorado
08.2021 - 04.2022

Design Innovation Team Member

Comcast Media and Technology Center
06.2021 - 08.2021

Master of Science - Computer Science

University of Colorado Denver

Bachelor of Engineering - Information Technology

MGM University

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