AI Full Stack Developer
3+ years building full-stack and production AI/LLM applications for real users, including multi-agent systems and RAG pipelines.
Engineering intelligence with intent.
AI Full-Stack Developer with 3+ years of experience taking GenAI, RAG, and agentic systems from prototype to production. I have shipped production LLM applications and multi-agent workflows across hiring automation, legal-tech, and enterprise compliance platforms. My work bridges reactive frontends with Python and Node.js backends, orchestrating models from OpenAI, Anthropic, and AWS Bedrock using LangGraph, reinforced by relational, NoSQL, and vector databases.
Faizan Ul Hassan
AI Full Stack Developer
- • DreamIT (Adopted by 250+ employees)
- • AI Courtroom Portal (10 daily hearings)
- • Multi-Agent HR Copilot (500+ registrations)
- • Multi-Hop Agentic RAG (Cyclic LangGraph)
The Engineering table.
Organized as an elemental system. Every skill represents hardened production experience deployed in live AI agents, data backends, and full-stack platforms.
Python
Primary language for GenAI pipelines, FastAPI microservices, and asynchronous agent orchestration.
Built FastAPI backends, LangGraph agents, and high-throughput data pipelines across Quest and Codeaza.
Production systems.
Architected and shipped end-to-end: legal-tech pipelines, autonomous multi-agent workflows, and enterprise-scale platforms.
DreamIT
Internal company management platform unifying delivery, finance & hiring
A React and Supabase platform running company-wide operations for 250+ employees, with company-wide rollups and a fully drilled-down dashboard per individual project, unifying delivery, finance, staffing, and hiring behind role-based access spanning 7 departments.
Company operations were split across disconnected spreadsheets and manual approvals: hiring took 2–3 weeks per candidate, project risk had no structured tracking, and each department needed isolated permissions. DreamIT consolidated the entire workflow, cutting hiring time-to-decision down to 4–5 days.
A React and Supabase platform running company-wide operations for 250+ employees, with company-wide rollups and a fully drilled-down dashboard per individual project, unifying delivery, finance, staffing, and hiring behind role-based access spanning 7 departments.
Company operations were split across disconnected spreadsheets and manual approvals: hiring took 2–3 weeks per candidate, project risk had no structured tracking, and each department needed isolated permissions. DreamIT consolidated the entire workflow, cutting hiring time-to-decision down to 4–5 days.
The Unified path.
Chronological engineering journey from foundational computer science at FAST-NUCES to architecting enterprise AI platforms and autonomous agent workflows.
AI Full Stack Developer
- Led end-to-end development of full-stack and AI-powered applications, taking ownership from technical planning and architecture through implementation and production delivery.
- Led and mentored 2 junior developers through task planning, code reviews, technical guidance, and day-to-day development.
- Worked directly with clients and stakeholders through requirement discussions, technical consultations, product demos, feedback sessions, and feature refinement.
- Designed and integrated AI capabilities including LLM APIs, RAG pipelines, agentic workflows, and automation into production applications.
- Managed deployments and production operations, including infrastructure configuration, monitoring, debugging, release workflows, and ongoing application support.
AI Backend Engineer
- Designed and developed production AI and backend systems, owning architecture, implementation, integrations, debugging, and deployment.
- Built reusable AI workflows and backend components for RAG, multi-agent systems, document processing, automation, and real-time applications.
- Engineered reliable long-running workflows with persistent state, session isolation, progress tracking, retry mechanisms, and failure recovery.
- Worked with stakeholders to understand requirements, evaluate technical approaches, demonstrate solutions, and iterate on production features.
- Implemented observability and evaluation workflows to monitor AI behavior, troubleshoot failures, and improve the reliability of production systems.
Python Backend Developer
- Developed backend applications and services, owning API development, business logic, database integration, and application functionality.
- Built data ingestion and processing pipelines for large volumes of structured and unstructured data across multiple external sources.
- Worked with clients and stakeholders to gather requirements, discuss technical solutions, demonstrate functionality, and incorporate feedback.
- Automated repetitive business processes by designing backend workflows, integrations, and data-driven application features.
- Troubleshot production issues and supported applications throughout development, deployment, and ongoing maintenance.
Bachelor of Science in Computer Science
- Graduated with Bachelor of Science in Computer Science (2019 to 2023) with core competencies in distributed systems, operating systems, and computer architecture.
- Served as Teaching Assistant for Computer Networks, conducting lab sessions, grading assignments, and guiding students through networking protocols and socket programming.