Hello! 👋

I'm Ahmed Gulab Khan

Software Engineer

About Me

I am a passionate Software Engineer with over 3.5 years of experience as a Software Engineer at Electronic Arts (EA). During my tenure as a software engineer at Electronic Arts, I have worked on technologies like Git, Java, JavaScript, Python, Spring/SpringBoot, MySQL, MongoDB, Redis, Kafka, Docker, Elasticsearch, Logstash, Kibana, REST APIs and various AWS services like EC2, Elastic Beanstalk, Lambda, S3, Secrets Manager, IAM, ECR, MSK and Route 53. At Electronic Arts, I also got the opportunity to work with technologies like Terraform, GitLab CI/CD pipelines, performing deployments for various microservices and scaling large-scale distributed systems. Besides the above mentioned skills and technologies, I've also worked with HTML, CSS, JavaScript/TypeScript, React.js, Redux Toolkit for Frontend development and Flask, Node.js, Express.js for Backend development. I love learning new things, and aim to make meaningful contributions in any work environment.

HTML/CSS JavaScript/TypeScript Java Python Go SQL React.js Node.js Express.js Spring Boot MySQL PostgreSQL MongoDB Amazon Web Services (AWS) Docker Apache Kafka Redis CI/CD Pipelines REST APIs GraphQL Generative AI LLMs Distributed Systems Microservices Cloud Computing

Projects

Elastic Face Recognition Application

Built a multi-tier image classification system on AWS (EC2, S3, SQS) with latency less than 200 ms, capable of supporting 1,000+ concurrent requests.
Leveraged Amazon SQS for reliable asynchronous event processing and to decouple different services.
Developed a custom auto-scaling algorithm to dynamically adjust AWS resources based on incoming request volume.

Node.jsPythonAWS (EC2, S3, SQS)

ChronicAid - AI powered Chronic Disease Management Platform

Built an AI-powered chronic disease management platform supporting 10+ diseases, enabling users to monitor symptoms, track health metrics and receive intelligent health insights.
Integrated Generative AI using LLMs via OpenAI API for personalized disease management and symptom tracking.

HTML/CSSReact.jsRedux ToolkitGo (Gin)MongoDBOpenAI APIGenerative AILLMs

MovieGo

Developed a movie ticket booking platform enabling users to register and book tickets for 500+ listed movies.

HTML/CSSMongoDBExpress.jsReact.jsNode.jsMongoose

Experience

Teaching Assistant

Arizona State University

Jan 2025 - Present

Assisting Professor Kan Xu in CIS 325: Programming for Analytics and AI in Business by grading assignments, reviewing project presentations, solving doubts and offering guidance to students related to python programming and data analysis concepts.
Providing support during tutoring sessions, assisting with exam preparation and creating a collaborative learning environment to help students excel in the course.

Software Engineer 2

Electronic Arts (EA)

Dec 2022 - Dec 2023

Created a self-service front-end application using React.js enabling the Social team to efficiently manage Identity tokens across multiple user types and environments.
Optimized the EA Console UI by implementing memoization, lazy loading and dependency reduction in React.js, leveraging Lighthouse audits to achieve a 20% decrease in load times, significantly improving the user experience for game teams.
Created new gRPC APIs for Groups service to create groups with members and to send bulk group invitations to players, reducing API latencies by 20% compared to the REST counterparts.
Refined the Recommendations service by implementing functionality to support both self-managed Kafka and Amazon MSK, and seamlessly migrated 20+ topics from self-managed Kafka to Amazon MSK.
Developed REST APIs in Spring Boot for the large-scale distributed Groups service, enabling group search by projectId and name while maintaining latency under 300 ms.
Implemented a fault-tolerant fallback mechanism in Groups service using Spring Cloud Circuit Breaker to filter profanity using a custom-built dependency when API calls to the CTD service failed.
Contributed to FC24 launch readiness for Groups service by load testing against 4 times the predicted traffic for multiple scenarios, ensuring a seamless and successful launch.

Software Engineer

Electronic Arts (EA)

Jul 2020 - Nov 2022

Spearheaded the development of a scalable Social Proxy, containerized with Docker, and deployed on AWS Elastic Beanstalk, streamlining Groups data management for game teams and enhancing efficiency.
Architected the end-to-end flow for the Groups service to send game-specific data to the Profanity service, leveraging AWS Lambda S3 upload triggers to store data in Amazon S3 and Redis, reducing profanity across platforms, devices and games by 35%.
Implemented a GitLab CI/CD pipeline for the Social Proxy service, eliminating manual intervention to cut build and deployment time by 90%, eliminating idle waits, and boosting team productivity.
Restored 10M+ documents by developing an ETL application to extract, transform and load missing data from MongoDB snapshots of various services into Recommendations Elasticsearch indices.
Migrated the Groups, Recommendations and UPS services from public to internal Identity endpoints, reducing the latency of Identity calls by 15%.
Enhanced the unit and integration test coverage of Groups service from nearly 40% to over 85% using JUnit and Mockito.

Education

Master of Science in Computer Science

Arizona State University

2024 - 2025

GPA - 3.96/4.0

B. Tech in Electronics Engineering

National Institute of Technology, Warangal

2016 - 2020

CGPA - 7.5/10