Mubarak Muse — Lead Software Engineer

Lead Software Engineer

Mubarak Muse

Minneapolis, MN · Open to SF / NYC

612-814-9554 · Mubarak014@gmail.com

Software engineer with 8 years building production systems across healthcare, logistics, and AI-native products. Deep experience designing microservices, REST and GraphQL APIs, distributed systems, and data pipelines on AWS. Strong healthcare-data domain background (claims, eligibility, CPT/ICD codes, benefit plans). Builds with agentic coding tools daily.

Experience

Brighter Tunnel

Lead Software Engineer

Remote · Mar 2023 – Present

Founding lead engineer shipping healthcare AI, agentic LLM pipelines, and multi-tenant SaaS products.

Amazon

Software Engineer

Minneapolis, MN · Jan 2022 – Mar 2023

Built event-driven freight rerouting and real-time terminal ops dashboards on AWS serverless.

Collective Health

Software Engineer 2

San Francisco, CA · May 2018 – Oct 2021

Led benefit-plans microservices migration and medical-code automation for 100+ enterprise clients.

Karat

Interview Engineer

Remote · 2022 – 2025

Conducted 1,000+ technical interviews for PayPal, Palantir, The New York Times, Lyft, and others.

Code Tenderloin

Volunteer

Coding Instructor

San Francisco, CA · 2019 – 2020

Volunteer coding instructor teaching programming fundamentals to underserved youth.

Tech Stack

Languages

  • Python
  • Java
  • TypeScript
  • JavaScript
  • Node.js
  • Go
  • SQL

Backend & Data

  • Spring Boot
  • FastAPI
  • Express
  • Microservices
  • REST APIs
  • GraphQL
  • PostgreSQL
  • DynamoDB
  • Redis
  • Supabase
  • ETL pipelines

Cloud & DevOps

  • AWS Lambda
  • Step Functions
  • ECS
  • SQS/SNS
  • EventBridge
  • DynamoDB
  • S3
  • EC2
  • CloudFront
  • CDK
  • Docker
  • Kubernetes
  • Terraform
  • Jenkins
  • GitHub Actions
  • CI/CD

AI

  • LLM pipelines
  • RAG
  • Agentic workflows
  • Anthropic & OpenAI APIs
  • LangChain/LangGraph
  • Claude Code
  • Cursor

Projects

  • Brighter Tunnel

    Prior Auth AI Agent

    Built and shipped an AI and rules engine that reads clinical notes, extracts diagnoses and procedures, matches CPT and ICD-10 against payer rules (deterministic, not LLM-guessed), validates policy criteria, and drafts grounded prior-auth letters.

    • FastAPI
    • React
    • Claude
    • AWS (ECS
    • SQS
    • DynamoDB
    • CloudFront)
    • Terraform
    • GitHub Actions
  • Brighter Tunnel

    Opus Eternal

    Architected an agentic multi-stage pipeline that transcribes interview audio and orchestrates LLMs to produce edited book drafts.

    • Python
    • FastAPI
    • LangChain/LangGraph
    • React
  • Brighter Tunnel

    AI-native LMS

    Built a multi-tenant learning management platform with AI-assisted lesson planning, grading, and summarization.

    • Next.js
    • Node.js
    • TypeScript
    • Supabase (PostgreSQL)
    • OpenAI
  • Brighter Tunnel

    EV charging platform

    Built initial software extracting real-time data from charging stations (OCPP protocol) into multi-tenant dashboards.

    • Next.js
    • Node.js
    • PostgreSQL
  • Amazon

    Emergency freight rerouting

    Built an event-driven Python service that reroutes trucks to alternate terminals in real time when a terminal goes down.

    • AWS Step Functions
    • Lambda
    • SQS with dead-letter queues
  • Amazon

    Terminal operations dashboard

    Built a full-stack app capturing real-time terminal data (shipments, pallets, problem-solving cases) for live operational visibility.

    • DynamoDB
    • React
    • TypeScript
    • Java
    • Kotlin
    • AWS CDK
  • Collective Health

    Plans & Benefits domain

    Led the Plans and Benefits domain during a monolith-to-microservices migration; built two Java Spring Boot services (120+ API endpoints) plus a Node.js parsing layer integrating GraphQL, GitHub, and Airtable APIs.

    • Java
    • Spring Boot
    • Node.js
    • GraphQL
    • PostgreSQL
  • Collective Health

    Medical code automation

    Built Python automation on Kubernetes CronJob that detected ICD/CPT code changes and auto-updated the source of truth, replacing a manual multi-API workflow; added PostgreSQL audit trail with Datadog and Prometheus monitoring.

    • Python
    • Kubernetes
    • PostgreSQL
    • Datadog
    • Prometheus

Education

University of Minnesota – Twin Cities

B.S. Computer Science

Additional

  • Languages: Arabic (fluent) · English (fluent) · Somali (fluent) · Spanish (conversational)
  • Interests: Traveled to 28 countries