Senior Full-Stack Engineer | AI-Enabled Products | Scalable Backend Systems
I turn complex product ideas into reliable, maintainable software.
I am a full-stack engineer with 10+ years of experience across frontend, backend, data, integrations, and delivery. I enjoy working at the point where product design, distributed systems, and applied AI meet.
My current focus is building AI-assisted business systems, reusable agent capabilities, reliable APIs, and clear operational interfaces. I care about pragmatic architecture, strong ownership boundaries, measurable behavior, and software that teams can keep evolving after the first release.
- AI-enabled applications, agent tools, semantic search, and evidence-based automation
- Full-stack products built with React, TypeScript, Java, Spring Boot, Python, and Node.js
- REST APIs, asynchronous jobs, third-party integrations, and data-intensive workflows
- PostgreSQL, MongoDB, MySQL, Redis, and vector search
- Docker-based development, CI/CD, testing, observability, and production readiness
AI-assisted venue discovery built with Django, Django REST Framework, React, PostgreSQL/pgvector, Redis, and Celery. It combines vector retrieval with structured LLM reranking and runs heavier search work asynchronously.
A lightweight task and resource management platform using React, TypeScript, Spring Boot, PostgreSQL, and MongoDB, with Docker-based local setup and a CI pipeline.
A read-only analytics service for Meta advertising data, including scheduled snapshots, natural-language analysis, diagnostics, and evidence-based reporting.
A collection and framework for modular voice-AI capabilities written in Python, with reusable templates for API integrations, multi-turn interactions, and custom agent behavior.
I prefer systems that are explicit about ownership, permissions, failure states, and evidence. My goal is not only to make a feature work, but to make its behavior understandable, testable, reusable, and safe to operate.
The best way to reach me is at muneebkhalid006@gmail.com.