Looking for a job

Hamza Hassan

@hamzahassan

Senior AI and full-stack engineer, founder, and open-source maintainer building production LLM systems, developer tools, and cloud infrastructure.

United Arab Emirates

Message

What I'm looking for

I’m actively seeking senior machine learning, applied AI, AI platform, or full-stack roles building production LLM systems and developer tools. My strengths are model evaluation, RAG, AI agents, automation, TypeScript/Python services, and AWS infrastructure. I value high ownership, measurable user impact, and taking products from architecture to reliable production.

Senior software and applied AI engineer with 6+ years of experience building production systems end to end. I founded ResumizeAI, an AI-powered resume platform serving 12,000+ users, and worked with Mercor on AI model evaluation, enterprise integrations, and developer tooling across 170+ open-source codebases. Previously, I built scalable, event-driven products at Morningstar Ventures using TypeScript, Node.js, AWS, PostgreSQL, Docker, and Kubernetes. I also maintain the open-source packages infra-foundry and jotai-transaction. I’m looking for senior applied AI, AI platform, and full-stack roles where I can own ambitious products from architecture through delivery.

Experience

Work history, roles, and key accomplishments

Current

Founder

Current

ResumizeAI

Aug 2025 - Sep 2026 (1 year 1 month)

Founded ResumizeAI, an AI job-application platform that generated ~4,000 resumes by July 2026. Built a three-stage LLM pipeline, job-scoped AI assistant and MCP tools, plus a 37-case evaluation harness with CI regression gates. Owned Next.js/NestJS/PostgreSQL development and AWS infrastructure with Pulumi; modeled token costs and model routing for subscription and credit pricing.

Machine Learning Large Language Models Python TypeScript AWS PyTorch Retrieval Augmented Generation (RAG) Systems Next.js NestJS PostgreSQL

Senior Software Engineer, AI Systems

Mercor

Nov 2024 - Jul 2026 (1 year 8 months)

Built RL environments, then led 40 engineers as PM to deliver 35+ MCP apps for model training. Automated 90% of the delivery workflow with Slack bots and GitHub CI. Created coding-agent RL environments, golden responses and calibrated rubrics for evaluation and benchmarking. Trained the model on 174 open-source repos; ranked among top team contributors. Built multi-agent experiments with n8n.

Machine Learning Large Language Models Python TypeScript AWS PyTorch

Full Stack Engineer

Morningstar Ventures

Apr 2022 - Oct 2024 (2 years 6 months)

Led a Ruby on Rails monolith-to-NestJS microservices and Serverless migration. Built event-driven systems with AWS EventBridge/SQS and zero-downtime deployments using GitHub Actions, Docker and EKS. Added Jest/RSpec test automation, cutting production bugs by 30%. Optimized PostgreSQL queries and indexes to reduce query response times by 60% under load.

TypeScript AWS PostgreSQL Serverless Next.js Docker Kubernetes NestJS Redis Elasticsearch

Full Stack Engineer

Pairing

Aug 2021 - Mar 2022 (7 months)

Built a scalable Node.js backend with PostgreSQL and RabbitMQ for background jobs. Delivered end-to-end Ruby on Rails and React features, owning APIs and data integrity. Established GitLab CI/CD and code quality checks with Prettier, ESLint and Husky. Collaborated on system design, scalability and fault handling.

Node TypeScript Ruby on Rails PostgreSQL RabbitMQ React

Full Stack Developer

Pursue Today

Jun 2019 - Jul 2021 (2 years 1 month)

Built a Node.js/React GraphQL e-commerce platform on MSSQL serving 5M+ product parts. Improved search latency and relevance with Elasticsearch and Redis caching. Integrated Stripe and PayPal with reliable transaction error handling. Created reusable frontend components and developer documentation to standardize integrations and speed feature rollout.

GraphQL TypeScript NodeJS React Redis Elasticsearch