Shreyansh Srivastava

Master of Science in Computer Science

Aug 2022 - Dec 2024

Relevant Coursework

• Database Systems
• Cloud Computing and Big Data
• Design and Analysis of Algorithms
• Data Analysis and Modeling Techniques
• Software Engineering

Bachelor of Technology in Electronics and Communication Engineering

August 2014 - May 2018

Relevant Coursework

• Database Management Systems
• C
• Data Structures
• Computer Networks

Uber

Jan 2026 - Present

Full Stack Developer

• Orchestrated a real time microservices based architecture using Spring Boot and integrated Apache Kafka for asynchronous messaging between services, improving system scalability and fault tolerance during peak load events.
• Executed real-time updates for ride statuses and food delivery tracking using WebSocket, enhancing live data sync and reducing latency for end-users during high-volume hours.
• Refactored legacy RESTful endpoints to GraphQL APIs for order, menu, and ride modules, decreasing data over-fetching and cutting client payload size by 40%, resulting in faster render times.
• Developed custom filtering and recommendation features for food categories and nearby drivers, leveraging SQL-based analytics queries to personalize user experiences across both platforms.

Shimadzu Institute for Research Technologies

Feb 2025 - Jan 2026

Software Developer

• Architected a Node.js–React platform for equipment logging and reservations, aligning lab workflows into scalable modules that supported 350 researchers and improved request handling across departments.
• Implemented secure authentication using JWT, OAuth2, and role-based access controls, reinforcing data integrity for administrators, faculty, and students while streamlining permission validation for multiple operational workflows.
• Developed a modular Express.js + PostgreSQL API layer and coordinated Azure cloud migration, enabling unified resource allocation, equipment logging, and downtime analytics consumed by cross-functional research teams.

KPMG

Oct 2021 - Jun 2022

Software Engineer

• Engineered backend services using Java, Spring Boot, Hibernate, and PostgreSQL for a compliance workflow platform, streamlining data retrieval for audit teams and lowering service response latency by 3 seconds.
• Built modular React.js interfaces integrated with REST APIs, enabling unified review operations across business units and eliminating 12 manual validation steps per request.
• Deployed cloud-ready microservices on AWS EC2 and Lambda, adding API instrumentation and log tracing that allowed operations teams to resolve production issues in under 6 minutes during high-load cycles.
• Delivered full API documentation with Swagger UI and used Postman alongside automated test suites (JUnit, Mockito, JMeter) to improve API reliability and help QA validate 18 service endpoints consistently.
• Coordinated with Agile squads and cross-functional stakeholders to refine service contracts, ensuring seamless interactions across 8 internal systems and stabilizing nightly data processing runs.

Dell Technologies

Jan 2019 - Sept 2021

Full Stack Developer

• Constructed Java-based microservices for a device lifecycle management system, integrating REST APIs, PostgreSQL, and Cassandra repositories to support roughly 30+ operational workflows across asset tracking modules.
• Refactored Python processing routines into optimized service modules, lowering batch execution time by 4 seconds and improving data consistency consumed by analytics pipelines.
• Implemented authentication flows using Spring Security and token-based access models, enabling secure integration for approximately 10+ internal tools interacting with backend services.
• Integrated React.js and Redux front-end components with service endpoints, giving product teams clear asset-state visibility and reducing recurring clarification requests across supporting groups.
• Automated Jenkins and GitHub Actions CI/CD pipelines, standardizing build validation and stabilizing deployment rollouts to an 8-minute release window across engineering squads.
• Collaborated with architecture and reliability teams to define service contracts, ensuring cross-platform interoperability while maintaining dependable performance on datasets approaching tens of millions of device records.

Languages and Databases

Tools and Technologies