Aakash Madabhushi
I ship services and the tooling around them, from a 17-container distributed system to a browser extension and its companion iOS app.
A year as a software engineer at Sapaad, working on a multi-tenant SaaS platform where the data pipelines I built and the Spark jobs I tuned sat behind more than 75 customer dashboards. Coursework and personal projects since have pushed on distributed systems: a LinkedIn-style platform running as 17 coordinated containers communicating over Kafka, and a Yelp clone rebuilt around events so services fail and recover independently.
Also the unglamorous parts that decide whether anyone else can run your work. A ROS 2 and Gazebo environment that comes up with one command, identically on macOS and Linux, with the GUI tools attached. A model wrapped in an API, containerized, and redeployed on every commit. A Chrome extension and a SwiftUI app kept in sync across two platforms.
Every link goes to code or data you can inspect yourself.
Kept résumé parsing and embedding matching off the request path across 17 containers, by routing them through Kafka and caching profile reads in Redis for 6× faster repeat lookups, with an AI assistant that pauses for human approval.
SJSU DATA 236, Distributed Systems · Spring 2026
Keeps everything you read on your own machine, with zero external API calls, by running Gemini Nano on-device inside a Chrome MV3 extension paired with a SwiftUI iOS app that tracks focus sessions across both.
Personal project · Jul 2026 to present
Let each part of the system fail and recover independently, by rebuilding a Yelp-style application so services communicate through Kafka events instead of calling each other directly.
SJSU DATA 236, Distributed Systems · Spring 2026
Takes physical robot time out of the iteration loop, by locating the real cube and bowl with ArUco markers from a calibrated overhead camera and mirroring their coordinates into Isaac Sim, so policies train against the real table's layout.
Personal project, built on NVIDIA's Sim-to-Real SO-101 workshop · Aug 2026 to present
Took a cancer-recurrence model the whole way to production, by wrapping scikit-learn in a FastAPI service, containerizing it, and redeploying to AWS EC2 automatically on every commit through GitHub Actions.
Personal project · Apr 2025
Detects an API failure, diagnoses a root cause, and acts on it without a human, by wiring FastAPI health probes into a Railtracks LLM agent that tunes its own alert thresholds from prior incidents. Built in five hours at a hackathon.
SJSU Applied Data Science Hackathon 2026 · Mar 2026
Reduced robotics environment setup to one command on macOS and Linux, by packaging ROS 2 Jazzy, Gazebo Harmonic, RViz and TurtleBot3 into a version-pinned Docker Compose stack with a browser desktop that removes X11 failures.
Personal project · Mar 2026
Select a project for the full detail and links.
I'm available from December 2026 and open to relocating. Email me and I'll reply within a day.
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