Mubarak Muse, Developer in Minneapolis, MN, United States
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Mubarak Muse

Bio

Mubarak is a software engineer with 8 years of experience building AI systems and production back ends. As a senior software engineer at Brighter Tunnel, an AI and software consulting firm, he ships LLM-backed agents end-to-end—most recently a healthcare AI platform that automates insurance prior authorizations. He previously built real-time freight systems at Amazon and healthcare benefits infrastructure at Collective Health. He works in Python, FastAPI, React, and TypeScript, deploying on AWS.

Portfolio

Brighter Tunnel
Amazon DynamoDB, TypeScript, Python, Next.js, React, Amazon Web Services (AWS)...
Karat
Interviewing, Software Engineering, Code Review, Communication, Screeners...
Amazon.com
TypeScript, Java, Amazon DynamoDB, Spring, Amazon Web Services (AWS), Kotlin...

Experience

  • Full-stack - 8 years
  • Amazon Web Services (AWS) - 8 years
  • Python - 8 years
  • TypeScript - 7 years
  • FastAPI - 7 years
  • Artificial Intelligence (AI) - 5 years
  • Claude - 3 years

Preferred Environment

Amazon Web Services (AWS), Python, APIs, Agentic AI, Artificial Intelligence (AI), Web Development, TypeScript, FastAPI, React, Bun, Automation, Workflow, Workflow Automation, Sports, REST APIs, Back-end Architecture, OpenAI API, Workflow Automation & System Integration, MySQL, Marketplace Platforms, Marketplaces, Healthcare Software, Stripe, Technical Architecture, Education Technology (Edtech), Concurrency, Distributed Systems, State Machines, Django, Agentic RAG Systems, OAuth, Financial APIs, Back-end, Logistics, Order Management, Shipping, Product Development

The most amazing...

...thing I've built is an AI agent that handles insurance prior authorizations end-to-end, turning a multi-day manual process into minutes.

Work Experience

Senior Software Engineer

2023 - PRESENT
Brighter Tunnel
  • Built and shipped an AI and rules engine that reads a clinical note, extracts diagnoses and procedures, and drafts a grounded prior authorization letter for payer submission.
  • Architected Opus Eternal, an agentic multi-stage pipeline that transcribes interview audio and orchestrates LLMs to produce edited book drafts, using Python, FastAPI, and LangGraph.
  • Built a multi-tenant AI-native learning management platform with AI-assisted lesson planning, grading, and summarization on Next.js, TypeScript, Supabase, and OpenAI.
  • Delivered an EV charging platform that extracted real-time station telemetry over the OCPP protocol into multi-tenant operator dashboards.
Technologies: Amazon DynamoDB, TypeScript, Python, Next.js, React, Amazon Web Services (AWS), PostgreSQL, Claude, Cursor AI, Claude Code, Claude API, OpenAI, LangChain, LangGraph, JavaScript, Full-stack, Full-stack Development, MongoDB, Data Analytics, API Integration, APIs, Authentication, Cloud Storage, Supabase, Supabase Auth, Tailwind CSS, Code Review, Communication, Screeners, Team Leadership, FastAPI, Software Architecture, Architecture, Microservices, SQL, Google Cloud Platform (GCP), Agentic AI, Agentic Frameworks, CI/CD Pipelines, Infrastructure, Large Language Models (LLMs), AI-assisted Development, Cloudflare, Event-driven Architecture, Infrastructure as Code (IaC), Observability, Orchestration, DevOps, AI-generated Code, Artificial Intelligence (AI), Fintech, NoSQL, Cloud Architecture, Compliance, Data Security, HIPAA, Healthcare, Product Management, SaaS, Web Development, Healthtech, CTO, Automation, Workflow, Workflow Automation, Integrations, GitHub, REST APIs, RAG Systems, Back-end Architecture, Debugging, OpenAI API, Workflow Automation & System Integration, WordPress, Minimum Viable Product (MVP), Figma to React, Marketplace Platforms, Marketplaces, CSS, Role-based Access Control (RBAC), Multi-agent Orchestration, Retrieval-augmented Generation (RAG), Vector Databases, AI Integration, Healthcare Software, Stripe, Technical Architecture, Vercel, Education Technology (Edtech), Concurrency, Distributed Systems, Django, AI Agents, Event-driven Systems, NestJS, OAuth, Database Design, GraphQL, SOC 2, Financial APIs, Back-end, Front-end, Product Development

Interview Engineer

2022 - 2025
Karat
  • Conducted 1,000+ technical interviews for companies including PayPal, Palantir, The New York Times, and Lyft.
  • Evaluated candidates on data structures, algorithms, and system design against calibrated rubrics, writing assessments that fed directly into hiring decisions.
  • Proposed and evaluated interview content, helping refine the questions and rubrics used across the screening process.
Technologies: Interviewing, Software Engineering, Code Review, Communication, Screeners, Architecture, SQL, CI/CD Pipelines, AI-generated Code, Artificial Intelligence (AI), Data Security, GitHub, Debugging, Training

Software Engineer

2022 - 2023
Amazon.com
  • 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.
  • Implemented dead-letter queues and retry handling so that freight rerouting events survived downstream failures during terminal outages.
  • Built a full-stack app capturing real-time terminal data (shipments, pallets, problem-solving cases) for live operational visibility. Used DynamoDB, React, TypeScript, Java, Kotlin, and AWS CDK.
Technologies: TypeScript, Java, Amazon DynamoDB, Spring, Amazon Web Services (AWS), Kotlin, AWS Lambda, Python, AWS Step Functions, JavaScript, Full-stack, Full-stack Development, Data Analytics, Data Engineering, API Integration, APIs, Authentication, Database Management, Cloud Storage, Tailwind CSS, Code Review, Communication, Screeners, Team Leadership, Interviewing, Architecture, Microservices, SQL, Apache Kafka, CI/CD Pipelines, Event-driven Architecture, Observability, Orchestration, Real-time Systems, Cloud Architecture, Web Development, Infrastructure as Code (IaC), Integrations, Java EE (Jakarta EE), GitHub, REST APIs, Back-end Architecture, Debugging, CSS, Technical Architecture, Concurrency, Distributed Systems, Event-driven Systems, OAuth, Database Design, Back-end, Front-end, Logistics, Order Management, Shipping, Product Development

Software Engineer

2018 - 2021
Collective Health
  • Led the plans and benefits domain during a monolith-to microservices migration; built two Java Spring Boot services (120+ API endpoints) and a Node.js parsing layer integrating GraphQL, GitHub, and Airtable APIs.
  • Designed flexible, highly configurable data models for custom plan structures beyond standard benefit design; the source of truth for ~13,500 plans across 100+ clients (Uber, Pinterest, eBay), consumed by claims, eligibility, and data science teams.
  • Built Python automation on a Kubernetes CronJob that detected ICD/CPT code changes and auto-updated the source of truth, replacing a manual multi-API workflow; added a PostgreSQL audit trail with Datadog and Prometheus monitoring.
  • Delivered full-stack features (React, TypeScript, Angular) on PostgreSQL-backed services; deployed via Docker, Kubernetes, and Jenkins CI/CD.
Technologies: Java, Node.js, Spring, Spring Boot, Amazon RDS, PostgreSQL, Amazon Web Services (AWS), Docker, Kubernetes, Redis, Agile, Scrum, GitHub, Airtable, JavaScript, Full-stack, Full-stack Development, Data Analytics, Data Engineering, Data Visualization, Charts, API Integration, Authentication, Database Management, Cloud Storage, Code Review, Screeners, Team Leadership, Interviewing, Architecture, Microservices, SQL, Apache Kafka, Apache Airflow, CI/CD Pipelines, Observability, DevOps, Go, Cloud Architecture, Compliance, HIPAA, Healthcare, Product Management, SaaS, Web Development, Healthtech, TypeScript, Integrations, Java EE (Jakarta EE), REST APIs, Back-end Architecture, Debugging, Workflow Automation & System Integration, Figma to React, MySQL, CSS, Electronic Health Records (EHR), HIPAA Compliance, Healthcare Software, Technical Architecture, Concurrency, Distributed Systems, Django, Event-driven Systems, OAuth, Database Design, GraphQL, SOC 2, Back-end, Front-end, Product Development

Experience

Prior Auth AI Agent

Prior authorization is one of the most expensive administrative bottlenecks in American healthcare. Clinical staff spend hours per case reading notes, identifying the right procedure and diagnosis codes, checking them against payer policy, and writing a justification letter. I built an end-to-end agent that does this work in minutes.

The system reads a clinical note, extracts diagnoses and procedures, and matches them to CPT and ICD-10 codes. The matching layer is deliberately deterministic rather than LLM-inferred because a hallucinated procedure code results in a denied claim and a compliance problem. The LLM handles what it is actually good at: reading unstructured clinical language and drafting a grounded letter that cites the specific policy criteria the case satisfies.

I designed and built the entire system: a FastAPI back end, a React front end, Claude for extraction and drafting, and AWS infrastructure using ECS, SQS, DynamoDB, and CloudFront. Infrastructure is defined in Terraform with CI/CD through GitHub Actions.

Opus Eternal: Agentic Audio-to-book Pipeline

Opus Eternal turns raw interview audio into an edited book draft. The problem it solves is that memoir and oral history projects generate dozens of hours of recorded conversation, and the gap between a transcript and a readable manuscript is where most of these projects die.

I architected a multi-stage agentic pipeline that handles the full path. A transcription stage converts audio to text. A structuring stage identifies narrative threads, chronology, and recurring themes across sessions that were never recorded in order. The drafting stage produces chapter text in the speaker's own voice, and the editing stage revises it for continuity and pacing.

The interesting engineering problem was orchestration rather than generation. Each stage needs a different context, different failure handling, and a way for a human editor to intervene without restarting the pipeline. I built it in Python and FastAPI with LangGraph managing stage transitions, and a React interface for the human-in-the-loop review steps.

Capture Flow — Turn Expert Browser Workflows into AI Playbooks

https://github.com/mubarakMuse/capture-flow
Capture Flow records how experts actually do their work in the browser and uses AI to convert those recordings into reusable, step-by-step playbooks that an organization can share. Contributors capture their screen alongside structured DOM events (collected by a Chrome MV3 extension I built for cross-tab logging), and an AI pipeline produces summaries, ordered steps, tags, and quality notes; admins review captures and monitor org-wide knowledge health. I built the full stack solo: the React, Vite, and Tailwind front end with user and admin views, the Node.js/Express API with JWT auth and server-side quota enforcement, the dual-capture system combining getDisplayMedia video with event streams, the Chrome extension, and the Anthropic Claude integration that generates the playbooks. It solves the "tribal knowledge" problem — expertise that lives only in senior employees' heads and leaves when they do.

Inbox Concierge — AI Gmail Triage into Priority Buckets

https://d3gzmqrj5f4ege.cloudfront.net
Inbox Concierge connects to Gmail and uses OpenAI to classify roughly 200 recent threads into clear buckets — Important, Can Wait, Auto-archive, Newsletter, plus user-defined custom buckets — so you open email already knowing what needs you first. Users can correct a mis-sort with one click (feeding future classification) or jump straight to the thread in Gmail. I built the whole system solo: a React (Vite) front end on S3 and CloudFront, an Express API on AWS App Runner, Google OAuth with gmail.readonly scope and signed-cookie sessions, RDS Postgres for storage with optional token encryption, and an async job architecture (SQS and Lambda) for classification with polled progress — swappable to in-process locally. Infrastructure is fully Terraform-managed, with tests and linting across both client and server.

Education

2013 - 2018

Bachelor's Degree in Computer Science

University of Minnesota - Minneapolis, Minnesota, USA

Skills

Libraries/APIs

Node.js, React, REST APIs, Stripe, Pydantic, OpenAI API, Claude API, OpenAPI, Gmail API

Tools

ChatGPT, GitHub, Zoom, Apache Airflow, Sequelize, Claude, Claude Code, AWS Step Functions, Terraform, Amazon CloudFront, Amazon Simple Queue Service (SQS)

Languages

Java, Python, JavaScript, TypeScript, SQL, CSS, HTML, Go, GraphQL, Kotlin

Frameworks

Next.js, Agentic Frameworks, Hibernate, Spring Boot, Spring, Express.js, JSON Web Tokens (JWT), Jest, Tailwind CSS, Django, NestJS, LangGraph

Paradigms

Microservices, Event-driven Architecture, Real-time Systems, Automation, Back-end Architecture, Role-based Access Control (RBAC), Agile, Scrum, DevOps, Marketplace Platforms, HIPAA Compliance, Model Context Protocol (MCP), Database Design

Platforms

Java EE (Jakarta EE), WordPress, Vercel, Amazon Web Services (AWS), Docker, Kubernetes, Apache Kafka, AWS Lambda, Google Cloud Platform (GCP)

Storage

PostgreSQL, Databases, MySQL, Redis, Relational Databases, MongoDB, Database Management, NoSQL, Amazon DynamoDB, Amazon S3 (AWS S3)

Industry Expertise

Healthcare

Other

Software Engineering, Full-stack, Full-stack Development, APIs, Interviewing, Communication, Screeners, Team Leadership, Software Architecture, Architecture, Agentic AI, CI/CD Pipelines, Infrastructure, AI-generated Code, Artificial Intelligence (AI), Web Development, Healthtech, Workflow, Workflow Automation, Integrations, Sports, Debugging, Workflow Automation & System Integration, Minimum Viable Product (MVP), Figma to React, Multi-agent Orchestration, AI Integration, Healthcare Software, Technical Architecture, Education Technology (Edtech), Training, Concurrency, Event-driven Systems, Agentic Workflow Design, Agentic AI Systems, Anthropic, Back-end, Amazon RDS, Airtable, OpenAI, FastAPI, Data Analytics, Data Engineering, API Integration, Authentication, Cloud Storage, Supabase, Supabase Auth, Code Review, Large Language Models (LLMs), AI-assisted Development, Cloudflare, Infrastructure as Code (IaC), Observability, Orchestration, Fintech, OAuth, Cloud Architecture, Compliance, Data Security, HIPAA, Product Management, SaaS, CTO, Bun, Reviews, Security, RAG Systems, Pinecone, Marketplaces, Retrieval-augmented Generation (RAG), Vector Databases, Electronic Health Records (EHR), Distributed Systems, Optical Character Recognition (OCR), State Machines, Multi-tenant SaaS, AI Agents, Agentic RAG Systems, Multi-tenant Architecture, SOC 2, Financial APIs, Front-end, Logistics, Order Management, Shipping, Product Development, Machine Learning, Research, Analytics, Cursor AI, LangChain, GitHub Actions, Speech-to-Text (STT), Data Visualization, Charts, Chrome Extensions, AWS App Runner

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