Web application
Campus book exchange
A prototype for students to buy, rent, and give used textbooks a second life.
Engineering leader · AI infrastructure
Hi, I’m Sreerag Sreenivasan.
I lead teams delivering GPU infrastructure software, from platform strategy to customer acceptance. Connecting technical depth, clear direction, and people who care about the work.
The work has grown from writing software to building the teams, systems, and direction behind it. The curiosity hasn’t changed.
Today, I lead a GPU infrastructure software organization at Oracle through engineering managers. My work spans deployment, inventory, repair orchestration, and the platforms that support operations across multiple sites.
I bring 12+ years across distributed cloud platforms and enterprise software. I develop engineers into leaders, shape organizations, and own roadmaps, budgets, and headcount planning—from initial strategy through customer acceptance.
02 Where I make a difference
Strong platforms, reliable operations, and teams with room to grow. These are the threads that connect my work.
Strategy → delivery → operations
I lead software platforms that connect GPU qualification, deployment, inventory, and repair. From initial planning to customer acceptance, I turn complex operational work into repeatable delivery across sites.
A lifecycle perspective, from day one.
Observe → prioritize → improve
From cloud identity to GPU infrastructure, I’ve led teams responsible for services customers depend on. I connect fleet-health signals, diagnostics, and incident learning with repair automation and safer releases.
Operational learning becomes better software.
Clarity → ownership → growth
I grow engineering organizations through managers and help engineers become leaders. My work spans organization design, hiring, performance management, and budget planning—including guiding teams through change while sustaining customer delivery.
Build capability that outlasts any one project.
03 The journey so far
From hands-on software engineering to leading managers, platforms, and delivery across AI infrastructure.
Request full résuméFoundations
M.S., Computer ScienceSan Diego State University · 2018
B.Tech., Electronics & CommunicationUniversity of Calicut · 2014
Director of Engineering — effective
Lead GPU deployment and repair orchestration software from initial planning through customer acceptance. Own platform strategy and delivery while growing an engineering organization through managers.
Led engineering for a critical OCI identity and authentication service, balancing new capabilities with daily operations. Owned release management, reliability initiatives, region expansion, and team development.
Led engineers building analytics capabilities that let customers work with their preferred tools. Turned customer feedback into roadmaps and coordinated product, operations, and security teams to deliver releases.
Recruited and coached engineers, managed dependencies, and shortened release cycles through clear priorities and cross-functional collaboration.
Built AWS-based self-service analytics platforms, developer APIs, and JupyterLab integrations. As a senior engineer, led delivery of automated sandbox provisioning and multitenant, containerized services.
Earlier work spanned database compression and scaling automation, high availability, and tools that helped data scientists provision their own workspaces.
Software Engineer II · May 2017–Feb 2020
Senior Software Engineer · Feb 2020–Feb 2021
Automated enterprise workflows and built RESTful services connecting business applications and data systems. Improved test workflows, resolved continuous-integration issues, and strengthened delivery with client-side tooling.
04 The builder in me
A few earlier experiments in software, data, and hardware. The foundations of a hands-on engineering journey.
4 projects
Web application
A prototype for students to buy, rent, and give used textbooks a second life.
Android · Firebase
Connecting developers through tech meetups, conversations, and shared interests.
Data science · Machine learning
Exploring movie data and comparing machine learning approaches to prediction.
Arduino · Embedded systems
A low-cost robotic palm translating human gestures into mechanical movement.
05 Start a conversation
Call me Sree. I’m always up for a thoughtful conversation about engineering leadership, ambitious platforms, or an interesting problem.
Send me an emailEarlier work · Web application
A working prototype for San Diego State University students to buy or rent used books. The project connects an inventory management portal with a student storefront.
A pricing workflow uses web scraping to suggest book prices, with administrator controls for adjustments. It was an early exploration of building a complete product around a practical community need.
Earlier work · Android & Firebase
An Android application for developers to connect, organize meetups, and find people with shared technical interests. Built with Firebase authentication and messaging, with maps for location-based discovery.
The implementation explored practical applications of singleton, factory, observer, and builder patterns. This is an earlier prototype, rather than a currently operated service.
Earlier work · Data science & machine learning
An exploration of the IMDb movie dataset, using visual analysis to understand patterns and compare approaches to predicting movie success.
The project compares k-nearest neighbors, AdaBoost, support vector machines, Naive Bayes, and logistic regression. Its focus is learning through model comparison, rather than claiming a production prediction system.
Earlier work · Arduino & embedded systems
A low-cost robotic palm that mirrors human hand gestures. Flex sensors provide input to an Arduino controller, which drives servo motors to reproduce movement.
The build used recycled plastics and homemade circuit etching to keep costs down. It brought together hardware, embedded software, and a hands-on approach to engineering constraints.