Hassan Rasool

I’m an AI Engineer and Full-Stack Developer with 3+ years of experience building and deploying production-grade AI systems and scalable web applications for international clients. My expertise lies in applied AI — integrating large language models (LLMs), automation workflows, and intelligent backend systems into real-world products.

I have worked across both B2C and enterprise environments, contributing to AI-driven platforms used by executive-level stakeholders and legal teams in the U.S. My experience includes building agentic AI pipelines, document processing systems, automation platforms, and full-stack applications using Next.js, React, Node.js, and Python (FastAPI).

On the AI side, I specialize in LLM integrations (GPT-4, Claude), LangChain workflows, structured outputs, multimodal document parsing, vector databases (Qdrant), and automation frameworks such as Temporal and Celery. I have built conversational AI systems, document intelligence tools, and workflow automation products that streamline operations and reduce manual overhead.

I’m comfortable owning features end-to-end — from architecture and backend logic to frontend implementation and cloud deployment (AWS, GCP, Docker). I’ve also collaborated directly with international clients, translating business requirements into scalable technical solutions.

Beyond technical skills, I bring reliability, clear communication, and long-term thinking. I understand that remote work requires accountability, proactive updates, and strong time management — qualities I consistently practice in my current part-time and consulting engagements.

I’m currently open to remote opportunities involving:

• AI product development
• LLM-powered applications
• Workflow automation platforms
• Backend systems with intelligent integrations
• Full-stack AI SaaS products

If you're building AI-driven tools or looking to integrate automation into your workflows, I’d be excited to contribute and help you ship scalable, production-ready systems.