Senior Full-Stack & AI Engineer
I Build Production AI Systems for Legal Teams & Complex Workflows
I design and build agentic workflows, RAG and knowledge systems, document intelligence, and human-governed automation — backed by production-grade full-stack engineering.
- 6+ Years Engineering
- Production Legal AI
- Next.js / FastAPI / AWS
- RAG & Knowledge Systems
- Human-in-the-Loop
FEATURED CASE STUDY · PRODUCTION LEGAL AI
From First Contact to Attorney Review: Human-Governed AI Intake
AI-assisted intake across voice, email and documents, connecting first contact to attorney and case-manager review.
The engineering spans document intelligence, permission-aware workflows, Microsoft Graph and SharePoint integrations, background processing and human approval before consequential execution.
First contact
Voice and email intake
Understand
Transcription, documents and metadata
Review
Qualification, conflicts and suggested actions
Approve
Attorney or case-manager review
Act & record
Controlled execution and audit trail
Permissions and auditability across every step.
Production AI, from architecture to implementation
Focused capabilities for AI products that connect to real business workflows.
Agentic AI Systems
Multi-step AI workflows that use context, tools and business systems within controlled boundaries.
- LangGraph
- Tool Calling
- Workflow Orchestration
- State Management
- Background Jobs
- Human Escalation
Legal AI & Document Intelligence
Intake, document understanding and case workflows designed for attorney review.
- Intake
- Document Processing
- Extraction
- Classification
- Case Workflows
- Review Systems
RAG & Knowledge Systems
Retrieval and structured knowledge over documents, playbooks and domain information.
- RAG
- Vector Search
- Knowledge Graphs
- Structured Knowledge
- Semantic Retrieval
- Authority Verification
Human-Governed Automation
Permissions, confidence handling and approval boundaries for accountable AI workflows.
- Human-in-the-Loop
- Approvals
- Audit Trails
- RBAC
- Confidence Handling
- Escalation
Production AI Engineering
Application, data and processing layers that make AI features reliable in production.
- Next.js
- Node.js
- FastAPI
- PostgreSQL
- Redis
- BullMQ
- Temporal
- AWS
Security & Compliance-Conscious Architecture
Access and integration patterns for sensitive information.
- Tenant Isolation
- Encryption
- Permissions
- Audit Logging
- Minimum-Necessary Access
- Secure Integrations
AI That Works With Humans, Not Around Them
High-stakes AI systems need explicit permissions, evidence, confidence thresholds and human review.
ACCESS
AI retrieves, organizes and understands information.
RECOMMEND
AI proposes actions or conclusions with supporting context.
EXECUTE
Approved actions use controlled tools, with an audit trail.
What I Can Build With You
- AI client intake and qualification
- Legal document intelligence
- Matter and case workflow agents
- Internal knowledge copilots
- Email-to-case intelligence
- AI-assisted client communication
- Authority and citation verification workflows
- Document review and extraction systems
- AI workflow modernization
- Existing SaaS + AI integrations
Beyond the Model
The supporting stack spans application engineering, retrieval, background processing, integrations and security.
AI & Agents
- LangGraph
- LLM APIs
- RAG
- Tool Calling
- Structured Outputs
- Knowledge Systems
- Evaluation / Verification concepts
Application Engineering
- Next.js
- React
- TypeScript
- Node.js
- Python
- FastAPI
Data & Retrieval
- PostgreSQL
- MySQL
- Prisma
- Supabase
- Vector Search
Workflow & Infrastructure
- Temporal
- BullMQ
- Redis
- AWS
- Vercel
- Docker
- CI/CD
- Cron / background processing
- Object Storage
Enterprise Integrations
- Microsoft Graph
- SharePoint
- Stripe
- Twilio / voice systems
- REST APIs
Governance & Security
- Role-based permissions
- Tenant isolation
- Encryption
- Audit trails
- Human approvals
Where I Work Best
Legal & Legal Tech
My primary specialization: intelligent intake, document workflows, case operations, knowledge systems and governed AI.
AI SaaS & B2B Platforms
AI-native product features and full-stack platforms that need production architecture.
Compliance-Sensitive Workflows
Systems where permissions, traceability, security and human oversight matter.
Complex Operational Systems
Multi-step workflows connecting people, data, documents and third-party services.
Selected engineering work
Healthcare platforms and earlier full-stack projects.
Engineering Production AI Systems
View all articlesNotes on agentic workflows, legal AI, RAG, knowledge systems, AI governance and production software architecture.
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About Hamza
Hamza Khan is a Senior Full-Stack & AI Engineer with 6+ years of software engineering experience. He works at the intersection of production software architecture and applied AI, with a particular focus on legal technology, agentic workflows, document intelligence, RAG and human-governed automation.
My work spans the complete application stack — from Next.js interfaces and backend services to AI orchestration, data systems, integrations, background processing and cloud infrastructure.
I work directly with founders, technical teams and domain experts to connect AI capabilities to the way people actually work.
Connect on LinkedInWorking together
Let’s discuss the system you need to build
For legal teams, founders and engineering leaders who need senior support with production AI and complex software workflows.
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