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

NeoLearn

Engineered an AI-powered learning platform that enables users to upload study materials and generate quizzes, flashcards, and context-aware chatbot responses to user questions, improving learning efficiency.
Implemented a RAG pipeline with OpenAI embeddings and Pinecone, ensuring high contextual accuracy in AI-generated content.

Next.jsFastAPIPineconeRetrieval-Augmented Generation (RAG)LangChainLLMs

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)

CodeVertex

Developed an AI-powered code review and technical interview preparation platform, supporting 7 programming languages.
Incorporated LeetCode-style challenges, enabling code submission, receiving test case results with detailed AI-driven analysis.

TypeScriptReact.jsExpress.jsMongoDBAWS (S3, Lambda)Gemini APIGenerative AILLMs

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

Experience

Software Engineer (Cloud)

MindSpark

Oct 2025 - Present

Developed and managing multiple AWS Lambda functions exposing REST APIs securely, while configuring AppConfig environments and managing 20+ fine-grained IAM policies to securely govern team access and AWS resource permissions.

Teaching Assistant

Arizona State University

Jan 2025 - Dec 2025

Assisted 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.
Provided support during tutoring sessions, assisted with exam preparation and created a collaborative learning environment to help students excel in the course.

Software Engineer 2

Electronic Arts (EA)

Dec 2022 - Dec 2023

Created the Identity Token Management application using React.js and Node.js, enabling the Social team to provision users and manage identity tokens across multiple environments, reducing manual effort by 90% while improving process efficiency.
Revamped the EA Console UI for WCAG 2.1 compliance using React.js, while optimizing performance to achieve a 30% decrease in load times, significantly improving the user experience for game teams.
Led the migration of the Groups service from legacy m4 EC2 instances to the next-generation m6 family, improving compute efficiency and reducing AWS infrastructure costs by ~35% across all environments, resulting in ~$8K in monthly cost savings.
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.
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.
Contributed to FC24 launch readiness for Groups service by load testing against 250K requests per second (i.e; 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 full-stack development of a scalable Social Proxy service using React.js and Node.js, 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 Groups service to send game-specific data to 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.
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 - 4.0/4.0

B. Tech in Electronics Engineering

National Institute of Technology, Warangal

2016 - 2020

CGPA - 7.5/10