Full-stack software engineer · Charlotte, NC · Remote

I build AI and healthcare software that holds up in production.

Experience across clinical data systems, HIPAA-compliant patient platforms and multi-agent LLM pipelines. I work end to end: Next.js and TypeScript on the front, FastAPI and PostgreSQL behind it, shipped to Azure with tests that catch problems before users do.

See selected workResume (PDF)
M.S. Computer Science, George MasonPython · TypeScript · JavaAzure Container Apps, App Service, AKS
Selected work

Two systems, start to finish

George Mason University · 2025 – present

Carpal tunnel assessment platform

A browser app that lets diagnosed patients record hand movements at home and track recovery, while clinicians see structured results instead of raw video.

  1. Browser cameraMediaPipe JS
  2. Signal engine4-stage processing
  3. Job workersCelery + Redis
  4. Live pushWebSockets
  5. Patient AI assistantPageIndex · PII masking

The problem

Recovery from carpal tunnel is tracked in occasional clinic visits. Patients needed a way to measure progress between visits, and clinicians needed results they could trust without watching recordings.

What I built

  • Hand tracking in the browser feeding a signal-processing engine validated on 200+ patient recordings.
  • FastAPI, async SQLAlchemy and PostgreSQL backend: 40+ endpoints with JWT auth, per-patient RBAC and audit logging for HIPAA.
  • Results pushed the moment processing ends, replacing 1.5-second polling.
  • A patient assistant that explains results in plain language with PII masked before any model call.
50+clinicians and patients in production
30%fewer clinician follow-up questions
90%automated test coverage, SonarQube-gated
1.5s→~0result delivery latency
  • FastAPI
  • PostgreSQL
  • MediaPipe JS
  • Celery
  • Redis
  • WebSockets
  • Azure Container Apps
  • Prometheus
  • TOTP 2FA
Blue Horse Digital · 2024 – 2025

AI case generator

A platform that writes instructional case studies for training programs, grounded in client source material and graded before anyone reads them.

  1. RequestNext.js
  2. API + queueFastAPI · Service Bus
  3. Retrievalpgvector HNSW + rerank
  4. Agent crewCrewAI · LiteLLM routing
  5. Evaluator8-category rubric

The problem

Writing cases by hand was slow, and early LLM drafts invented details. The client needed volume without losing accuracy, and leadership needed to know what each client's AI usage cost.

What I built

  • A multi-agent pipeline where each agent is routed to the cheapest model that does its job well.
  • A retrieval layer that grounds every case in source material.
  • An evaluator agent that scores each case and flags fabricated content before delivery.
  • Per-run token and cost tracking, plus CI/CD with Cypress gates.
200+cases delivered to clients each week
95%+of hallucinated content caught
800→<200retrieval latency, ms
25%lower Azure OpenAI spend
  • Next.js
  • FastAPI
  • CrewAI
  • LiteLLM
  • pgvector
  • Azure Service Bus
  • Azure OpenAI
  • GitHub Actions
  • Cypress
Experience

Where I've worked

May 2025 – Present

Software Engineer 2 · George Mason University · Remote

  • Lead engineer on the carpal tunnel assessment platform, from signal processing to production deployment on Azure Container Apps.
  • Introduced test-driven development with SonarQube quality gates in CI, raising coverage to 90%.
Jun 2024 – Apr 2025

Software Engineer · Blue Horse Digital · Remote

  • Built the AI case generator end to end, including the agent pipeline, RAG layer and cost tracking.
  • Standardized GitHub Actions CI/CD to Azure App Service, cutting deploys from 1 hour to under 10 minutes.
May 2021 – Dec 2022

Software Engineer · IQVIA · Bengaluru

  • Developed an event-driven Java and Spring Boot notification service moving 10K+ clinical record updates daily between EHR platforms and Salesforce.
  • Automated release validation for cross-system integrations, cutting regression testing from 3 days to 4 hours.
  • Built JUnit, Mockito and Postman suites for regulated clinical systems, reaching 85%+ coverage.
Jan 2023 – Dec 2024

M.S. Computer Science · George Mason University

Advanced Data Structures & Algorithms, Software Systems Design & Integration, Cloud Computing.

Toolkit

What I work with

AI & LLM

  • Azure OpenAI
  • CrewAI
  • LiteLLM
  • RAG
  • pgvector / HNSW
  • Re-ranking
  • PageIndex
  • LLM cost tracking
  • MediaPipe JS

Backend & data

  • FastAPI
  • Spring Boot
  • async SQLAlchemy
  • Alembic
  • PostgreSQL
  • Redis
  • Celery
  • WebSockets
  • Event-driven services

Frontend & languages

  • Python
  • TypeScript
  • Java
  • SQL
  • Next.js
  • React
  • Node.js
  • Tailwind

Cloud & DevOps

  • Azure Container Apps
  • App Service
  • AKS
  • Service Bus
  • Docker
  • GitHub Actions
  • Azure DevOps
  • App Insights
  • Prometheus

Testing & quality

  • TDD
  • SonarQube
  • Cypress
  • JUnit
  • Mockito
  • Postman

Security & compliance

  • HIPAA
  • PII masking
  • JWT
  • TOTP 2FA
  • RBAC
  • Audit logging
  • Rate limiting
Contact

Hiring for AI, healthcare or full-stack work?

I'm open to full-time roles. Email is the fastest way to reach me.

tejavardhanr01@gmail.comSend an emailLinkedIn