rohan.yadav.exe

C:\users\rohan\portfolio

Open to opportunities

I build software millions use — and AI products that ship.

> Full-stack engineer. Ex-WebMD. M.S. Information Systems, Syracuse University.

$9M

Deal influenced

50%

Faster page loads

Millions

Monthly users

90%

Faster AI workflow

See my workGitHubLinkedInEmail

Production impact

Shipped at WebMD scale

Consumer health products for millions of users — plus research systems and AI tooling from graduate work at Syracuse.

Graduate Research Assistant

@Syracuse University

Aug 2025 – May 2026

  • Secured 2 additional years of stakeholder funding by leading a 4-person team delivering an Android app on ATAK.
  • Integrated an LLM pipeline to turn unstructured field data into actionable insights for users.
  • Deployed a containerized ATAK Server on Azure with Docker, SSL, and secure networking.
  • Refactored 60% of the legacy codebase to improve maintainability and coding standards.

Software Engineer

@WebMD

Apr 2022 – Dec 2024

Contributed to closing a $9M deal within one month of release.
  • Closed a $9M deal within 30 days of shipping a Vue patient-prep UI used in enterprise sales.
  • Cut page load times 50% on content features serving millions of monthly users.
  • Shipped interactive quizzes, slideshows, and articles on a component-based TypeScript/Vue architecture.
  • Built SQL backend and content packaging tool enabling PMs to assemble reusable blocks into production pages.
  • Led Vue 2 → Vue 3 migration for 20+ production apps with zero downtime.

Trainee Software Engineer

@WebMD

Nov 2021 – Mar 2022

  • Shipped company-wide rewards app used by ~100 employees.
  • Extended Backstage developer portal in React for repository management.

Build in public

AI experiments that ship

Side projects where I explore multimodal models, RAG pipelines, and interfaces that make complex data approachable.

Multimodal brain AI

Neuro Cue

Live
PythonMultimodal AIReactPlotly
Problem
Exploring TRIBE v2 model outputs was opaque — hard to see what the model was surfacing and where.
Built
React UI with 3D Plotly brain heatmap and anatomical overlays; deployed Meta's TRIBE v2 on Hugging Face ZeroGPU.
Result
Unblocked production deployment after a GPU upgrade broke upstream torch dependency pins.

90% faster cases

Clinical Case Study Generator

Live
LLMRAGPythonStreamlit
Problem
Grad students spent hours writing consistent clinical case studies by hand.
Built
3-agent LLM pipeline with RAG using OpenAI and Anthropic models for generation, documentation, and treatment planning.
Result
Cut case generation time by 90% while keeping output clinically consistent.

Connect

How I work

Full-stack by default — comfortable owning features from UI through APIs, data, and deployment.

Ship at scale

Consumer-facing products, performance, migrations, and the tooling to keep them running.

ReactTypeScriptVue.jsSQLNode.jsJestCypress

AI in practice

From RAG pipelines to multimodal models — built to ship, not just demo.

RAGAgentsLLMPyTorchPrompt engineeringEvals

Own the stack

Front to back: APIs, infra, containers, and cloud deployments.

AWSAzureDockerKubernetesFastAPIPostgres

Education

M.S. Information Systems

Syracuse University

GPA 3.86 · Graduated May 2026

Leadership

President

Worldwide Innovation Technology

Led research initiatives and mentored junior engineers of the student technology club at Syracuse University.

Interested in working together?

Syracuse, NY · rohany395@gmail.com

Get in touchDownload resume