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rohand2290/README.md

About

I'm a student at UCLA studying Math/CS. My love for technology and programming started when I installed Lubuntu on my mom's old Dell Inspiron from 2006 and got to mess around with a Linux terminal. Later on, I built small-scale scripts to automate tasks and dabbled in making Discord bots and social-media-style web apps with Spring Boot and React early on in high school. Eventually these small-scale coding projects became more of a passive activity I pursued, as I put more of my effort into polishing my high school profile.

Starting off college, I was a premed student with my eyes set on psychiatry or something involving the mind. I realized I actually liked numbers and code more than biology and anatomy. Now I'm interested in using the same Spring Boot stack I used as a 14 year old to architect high-performance, distributed systems, currently specializing in healthcare administration and electronic health records (EHRs), as well as potential work with lab automation and blogging systems. Occasionally, I'll also enjoy the occasional "dumb" pet-project, like a message broker in Lean.

I tend to think about software as the composition of individual parts, each specialized in its own function. This stems from my experience with Unix and the Unix philosophy of composable, minimal tools which can work together to solve large-scale problems. It lends itself well to large-scale systems and infrastructure, where things get decomposed into microservices that communicate with each other and scale up or down according to load.

Experience

  • Roche — Software Engineering Intern (Jun 2026 – Sep 2026): Working on backend infrastructure for DNA sequencing pipelines and NIPT lab automation.
  • VetsEZ — Software Engineering Intern (Sep 2025 – Jun 2026): Built OAuth-secured API endpoints for asynchronous, low latency access to legacy VistA healthcare data.

Projects

Project What it is Tech
ProteinLens Spectral graph analysis on protein-protein interaction networks, using laplacian construction and eigenvector embedding over STRING DB, validated against known clusters. Spring Boot, Kafka, Neo4j, Docker, AWS, Kubernetes
SchemaLoom Schema-first LLM extraction pipelines that turn unstructured text into validated JSON DAGs via Gemini/LangChain. TypeScript, Zod, Docker, Hono, LangChain, Gemini
BruinBites Campus app for finding food deals and generating cheap recipes on the fly with RAG. JavaScript, Gemini, LangChain, Axios
CytoFlow Pipeline turning pathway/disease queries into SVGs and .cyjs files via headless Cytoscape. FastAPI, Docker, Java, py4cytoscape
Glutaview Frontend for browsing proteins involved in glutathionylation. Next.js, TypeScript, Jupyter

Hobbies

  • Reading about history and geopolitics
  • Writing articles
  • Lifting
  • Volunteering at local shelters/nonprofits
  • Hiking

Pinned Loading

  1. cytoscape-data-pipeline cytoscape-data-pipeline Public

    Data pipeline to transform pathway/disease queries into SVG's and .cyjs files utilizing FastAPI and headless Cytoscape

    Python

  2. glutothyination-db glutothyination-db Public

    Frontend to see proteins involved in glutathionylation with NextJS, Tailwind, and Typescript

    TypeScript

  3. find-orthologs find-orthologs Public

    Jupyter Notebook to map mouse proteins into human orthologs and generate protein association networks with STRING and Cytoscape

    Jupyter Notebook

  4. rdesh-site rdesh-site Public

    HTML

  5. schemaloom/core schemaloom/core Public

    The main TypeScript API service that transforms unstructured text into schema-validated structured data. Exposes a minimal REST interface for LLM-powered extraction with Zod validation, packaged as…

    TypeScript

  6. schemaloom/cli schemaloom/cli Public

    CLI for schemaloom - build and deploy a Docker-based containerized pipeline for extracting structured data

    TypeScript