By day, a Computer Science grad student at CSULB. By night, a software engineer who crafts scalable systems that don't fall over when you look at them funny
I’ve worn a few hats: I’ve interned at Amazon, built full-stack apps with Spring Boot and React, and herded containers with Kubernetes and Docker (which is exactly as fun as it sounds). My proudest moment? Building microarchitecture for over 10 million users without causing an international incident
While I love a good algorithm, my real passion is solving problems for actual humans. I enjoy working with cross-functional teams to build technology that's intuitive, effective, and maybe even a little delightful. If you need someone to help build something amazing (and who won't steal all the good snacks), I'm all in
Leveraging data and technology to create meaningful outcomes
Constantly learning and pushing the boundaries of what's possible
Building solutions that are not just effective but also user-centric
Amazon
May 2024 - Aug 2024 • Bellevue, Washington
RadicalX
Oct 2023 - Apr 2024 • 7 months
California State University, Long Beach
Academic Role
Smartant Technologies
Dec 2021 - Mar 2022 • 4 months
EISystems Technologies
Internship
Mgm College Of Engineering & Technology
Distributed In-Memory Caching System
Designed and implemented a high-throughput, low-latency distributed caching system using Go, enabling scalable in-memory key-value storage accessed hundreds of millions of times per second.
Scalable Web Test Framework
Engineered a modular automation framework using Playwright with TypeScript for end-to-end web testing with GitHub Actions CI/CD.
Cloud-Based Risk Analysis Engine
Architected microservices using Java, Spring Boot, PostgreSQL, and AWS Lambda for portfolio risk modeling with CI/CD workflows.
Distributed Content Ingestion Platform
Built scalable backend microservices using Django REST Framework to handle high-volume metadata ingestion with AWS and Azure integration.
Spring Boot powered Shopping Cart
Architected and developed a robust backend using Spring Boot and Java, delivering a scalable system with 20+ RESTful APIs.
Unified Payment Gateway Integration
Implemented a full-stack payment gateway integration platform supporting 5+ major e-commerce payment providers with PCI-DSS compliance.
Deep Learning for Medical Diagnosis
Developed CNN models to detect COVID-19 virus in chest X-rays using deep learning, achieving high accuracy in medical image classification.
RFID-Based Library System
Led a team of 4 in automating library operations with advanced features including RFID technology for automatic book scanning and detection.
Wearable Computing Device
Developed a futuristic wearable device inspired by Google Glass, capable of displaying notifications with optimal light intensity for user comfort.
California State University, Long Beach
August 2023 - May 2025
Advanced studies focused on scalable software architecture and intelligent systems
University of Mumbai
August 2019 - May 2023
A comprehensive curriculum covering the entire software development lifecycle, with a strong emphasis on data structures, algorithms, and systems programming. Successfully completed all eight semesters with consistently high performance
International Journal of Advanced Research In Science, Communication and Technology
April 2023
Research on wearable computing technology, inspired by Google Glass, focusing on smart notification systems and user interaction.
National e-Conference on AI & ML 2021
November 2021
Presented research on using deep learning functional approaches for heart disease prediction at national conference.
MGMCET IEEE and Lets Upgrade
November 2020
Achieved 2nd runner-up position in inter-college technical event for Java domain organized by HASH 1.0 Computer Department Club.
National e-Conference on AI & ML
November 2021
Successfully presented research paper on heart disease prediction using deep learning at national conference.
Senior Machine Learning Engineer at AWS Global Security
"I had the pleasure of working with Shivam during his internship at Amazon. He was involved in the development of the location-aware content recommendations for Alexa+ customers. Throughout our collaboration, Shivam consistently demonstrated exceptional technical expertise and a strong problem-solving ability. He is a quick learner, he quickly learned existing systems and built his solution around it making the integration seamless. He collaborated with internal teams and onboarded them as location aware content providers for news, restaurants, weather, and more. Shivam has great technical and analytical skills and he is a great force multiplier."
Software Development Engineer 2 @ Amazon Alexa | LLMs, GenAI, ML Inference and Large Scale Distributed Systems
"I worked with Shivam during his internship at amazon and was impressed by his deep dive skills and ability to coordinate effectively with teams. He successfully designed and implemented a complex project requiring cross-team collaboration and delivered a strong presentation. Highly recommend him as an SDE."
