hi i am

simarjeet singh

- currently a founding engineer at Cognera Health
- mscs grad from Washington State University
- interested in AI and distributed systems

About

engineer with a "figuring out" mindset

  • founding engineer at Cognera Health
  • developed the core features of our product
  • maintain scalable cloud infrastructure
  • build RAG systems with Azure AI
  • migrate platforms to container architectures
  • collaborate with clinical advisors to turn healthcare logic into production AI workflows

Technologies I work with

PythonTypeScriptReactNext.jsNode.jsFastAPIcontainersDockerAzurePostgreSQLSupabaseMongoDBLangChainRAG Systems

Experience

Where I've worked

Cognera Health

Founding Engineer

June 2025 - Present

United States

  • Developed a RAG system using Azure AI Search and proprietary multimodal data to power AI-assistant features across HealScript and HealConnect, Cognera's provider and patient-facing mental-health platforms.
  • Built and integrated a custom RAG pipeline using optimized embeddings, retrieval tuning, and domain-specific system prompts, replacing standard Azure LLM responses and significantly improving clinical note accuracy.
  • Migrated the entire platform from Azure App Service to self-managed VMSS-based containers, cutting cloud spend by 25% and eliminating serverless cold-start latency.

RAAY

Software Engineering Intern

April 2025 - May 2025

United States

  • Contributed to the development of multi-agent orchestration platform (Node.js/Express.js) where specialized agents handled research, extraction, summarization, and outreach tasks.
  • Integrated E2B's sandboxed execution environment into the tooling layer to securely process sensitive client data.

WinSun Green

Software Engineer

January 2023 - December 2023

India

  • Built a data pipeline for a fleet of 120+ wind turbines using Azure IoT Hub and Azure Event Hubs for ingestion and streaming, with Spring Boot services performing backend processing and analytics.
  • Implemented an Azure Redis-based caching layer to support real-time KPIs, reducing dashboard data-access latency.

Cactus Communications

Software Engineering Intern

May 2022 - August 2022

India

  • Developed RESTful APIs using Java Spring Boot for ingestion and search of academic publications, supporting advanced queries by keywords, authors, and filters.
  • Optimized MongoDB operations through indexing & query optimization, improving query performance and data retrieval speed.

Projects

Selected work

FlavorBlend

Winner: Best AI Application (Cloudflare) & Coca-Cola Scholarship – CrimsonCode Hackathon 2025

AI-powered recipe generator using Llama 3 and Stable Diffusion. Generates culturally blended recipes from 190+ cuisines with RAG-based culinary assistant.
PythonFastAPIReactLlama 3Stable DiffusionLangChainSupabase
Personal Spotify Analysis
An interactive project that turns personal Spotify listening history into network-based visualizations of artists, playlists, and listening patterns using R and graph analytics. It showcases techniques like centrality, community detection, signed networks, and temporal analysis to reveal hidden structure in an individual’s music tastes.
Rigraphggplot2Spotify API
Phishing Detection Pipeline
End-to-end ML pipeline to detect phishing websites using 10+ engineered features across 11,000+ samples. Automated data validation, model training, and deployment.
Pythonscikit-learnMongoDBAWSMLflowDockerGitHub Actions
Music Recommendation System
Hybrid music recommender using KMeans clustering and cosine similarity, trained on 160K+ songs with audio features. Integrated with Spotify API for real-time recommendations.
Pythonscikit-learnSpotipyMatplotlib

Contact

Let's connect

I'm always interested in discussing new opportunities, collaborations, or just having a conversation about technology and building products.