Shulabh Bhattarai

San Francisco, CA
925-877-8163

Technical skills

Languages: Python, TypeScript, JavaScript, SQL
Backend: FastAPI, Node.js, Express, Django REST Framework, SQLAlchemy
AI Systems: RAG, OpenAI API, embeddings, hybrid retrieval, Ollama
Databases & Caching: PostgreSQL, MongoDB, SQLite, Redis, Supabase
Infrastructure: Docker, GitHub Actions, Vercel, OpenTelemetry, Git
Frontend: React, Next.js, React Native, Chart.js

Work experience

Software Engineer – MindMitra

DePauw Neuroscience Department · Greencastle, IN

  • Took technical ownership of a shipped React Native cognitive-wellness app, leading a three-engineer team in moving AI and data workflows from the mobile client to an independently deployed backend while delivering updated iOS and Android builds.
  • Architected and deployed a 25+ endpoint Node.js/Express API on Vercel with MongoDB Atlas, centralizing authentication, AI quiz content generation, personalized learning state, and quiz performance telemetry.
  • Built an automated demand-aware GPT-4 content pipeline that identifies question-bank gaps across 43 subdomains and applies embedding-based semantic deduplication before persistence.
  • Remediated exposed client-side credentials by migrating AI operations server-side; added session authentication, Joi validation, tiered rate limits, and 57 automated tests across 18 Jest/Supertest suites.

Software Engineering Intern

Togglecorp · Kathmandu, Nepal

  • Optimized Django REST Framework and PostgreSQL analytics over 200K+ consumer records across five regions through targeted indexing, query restructuring, and reduced response payloads.
  • Implemented backend filtering and aggregation workflows that converted behavioral and transaction data into regional and spending-tier datasets consumed by an interactive React and Chart.js dashboard.
  • Prototyped customer segmentation and sales-forecasting pipelines using K-means and a lightweight multilayer perceptron, formatting model outputs for dashboard evaluation across targeting, recommendation, and demand-planning use cases.

Projects

Fleetrac — AI Governance Control Plane

FastAPI, Next.js, SQLite, OpenTelemetry · Independent Project · 2026 – Present

  • Built a vendor-neutral telemetry pipeline that ingests runtime events from OpenTelemetry, AWS Bedrock, Azure OpenAI, and Vertex AI, normalizing provider payloads before rule-based detection, incident correlation, evidence packaging, and remediation guidance.
  • Developed a closed-loop workflow across 10 simulated agent systems, connecting live telemetry to owner queues, evidence packages, approval-gated remediation, notifications, and post-action verification through a FastAPI backend and Next.js operator console.

MediVise — Medical Document RAG Platform

FastAPI, PostgreSQL, Supabase, RAG · Capstone Project · Aug 2025 – Nov 2025

  • Built a FastAPI document-ingestion and RAG backend using Phi-4-mini, enforcing per-user authorization across uploaded documents and metadata stored through Supabase/PostgreSQL.
  • Implemented hybrid semantic and keyword retrieval with configurable chunking to control retrieved context size, and cached RxNorm and geocoding lookups to reduce redundant external API calls.

Education

B.A. Computer Science

DePauw University, IN

  • Honors: Cum Laude, Computer Science Honors Award
  • Leadership: Co-founder & President, DePauw AI Club
  • Certifications: IBM AI Fundamentals | IBM Quantum Enigmas