Hamza Khan

Architected AI-native SaaS platforms including Breevy AI, Moonhub, and Solya with production-grade RAG pipelines, multi-agent workflows, OpenAI/Claude integrations, and vector search solutions. Led backend architecture for enterprise platforms (Benchmark, WeDoT axes, Harbor Shield, TaxCure) using Node.js, FastAPI, PostgreSQL, Redis, GraphQL, AWS, and Docker, improving API response times and maintaining high availability. Built reusable AI infrastructure and deployment pipelines that shortened development cycles and improved consistency across client engagements. Collaborated with cross-functional stakeholders to deliver 15+ production SaaS and AI products, improving adoption and reducing production issues.

Engineered cloud-native applications (Lead Ninja, Jumper Media, PhoneFilter, Storlytics) using Node.js, Python, React, PostgreSQL, Redis, AWS, and Docker to improve performance and support high-volume operations. Built CI/CD pipelines with GitHub Actions, Terraform, Docker, AWS, and Kubernetes to reduce deployment time and improve release reliability. Developed AI-powered search, recommendations, and analytics using OpenAI, LangChain, Django/FastAPI, and vector databases to automate workflows and reduce manual effort. Led technical planning and quality initiatives, reducing incidents and mentoring engineers on scalable architecture.

Led development and technical delivery for intelligent business platforms, including secure backend services, asynchronous processing pipelines, and AI-driven document/NLP automation to improve throughput and accuracy for enterprise clients. Coordinated sprint planning, technical design, code reviews, and mentorship to ensure timely completion and improved engineering productivity.