AI/ML Engineer & Full-Stack Engineer with 5+ years designing and deploying production-grade AI systems, agentic workflows, and LLM-powered applications. Shipped products across HR tech, healthcare, and real estate — open to new opportunities and relocation.
name: "Hassan Naeem"
role: "AI/ML Engineer · Full-Stack Engineer"
location: "Michigan, USA 🇺🇸 (open to relocation)"
experience: 5+ years
education:
- M.S. Computer Science · Concordia University Saint Paul
- B.S. Computer Science · Sir Syed University of Eng. & Tech.
focus:
- Production LLM & agentic systems
- RAG pipelines & LLM orchestration
- Full-stack web & React Native mobile
verticals: [HR Tech, Healthcare, Real Estate, E-Commerce]
currently:
building: "Production AI agents & LLM-powered apps"
open_to: "AI/ML & Full-Stack roles — relocation OK"
ask_me_about: [LLMs, Agents, RAG, React Native, Python, TypeScript]I'm an AI/ML Engineer and Full-Stack Engineer with 5+ years of experience designing and deploying production-grade AI systems, agentic workflows, and LLM-powered applications at scale.
I've translated complex AI research into high-impact commercial products across HR tech, healthcare, real estate, and e-commerce, integrating large language models, machine learning pipelines, and real-time data architectures with React, Next.js, React Native, Python, and cloud infrastructure on AWS and GCP.
Currently open to AI/ML and Full-Stack roles, full-time, contract, or freelance. Open to relocation.
Architected and deployed a production AI Agent system integrating VAPI.ai LLM, HeyGen, AWS Transcribe, and OpenAI APIs, enabling voice-command interactions, autonomous content generation, and real-time dashboard control. Designed agentic recruitment workflows with LLM-driven candidate ranking, interview-scheduling automation, and offer-letter generation via BambooHR integration. Built a GraphQL campaign-intelligence module with ML-driven audience segmentation and shipped CI/CD on AWS with Docker + Kubernetes.
Led frontend of Take Charge EV-charging platform (React Native, TypeScript, Django, Firebase) with real-time driver tracking, Authorize.net payments, and 100MS audio calling. Built DateJar matchmaking app (React Native, GraphQL, Agora SDK) with audio/video calling and in-app purchases. Optimized Nouvoprix marketplace with advanced product search and real-time messaging.
Developed GroceryDone4u e-commerce platform (React Native, Node.js, TypeScript, Firebase, Stripe, Google Maps) with multi-store inventory, food ordering, and real-time delivery tracking. Optimized Pacsend — a peer-to-peer package delivery platform (Angular, Node.js, GraphQL, Stripe) with real-time tracking and payment infrastructure.
Architected an AI-driven property recommendation engine with Vertex AI and Claude API for personalized user experiences. Built a hybrid React Native mobile app supporting immersive 3D property exploration and AR/VR hologram functionality for virtual furniture placement.
HIPAA-compliant healthcare platform with secure real-time patient-doctor communication via WebSockets and Firebase. Integrated Vertex AI and Claude API to build an automated prescription-suggestion engine and predictive hospital-resource analytics.
Smart body-measurement application using computer vision and image processing to compute body metrics from photos.
Full-stack platform for researchers to discover PhD opportunities, built with a modern JavaScript stack and a scalable Node.js backend.
Concordia University Saint Paul
Sir Syed University of Engineering & Technology
I'm open to AI Engineer, Full-Stack, and Mobile opportunities, full-time, contract, or freelance. If you're shipping something interesting in GenAI, agentic systems, or product engineering, I'd love to hear from you.