Uzair H.

I engineer the infrastructure behind real AI products. ✅ PakLawAssist processing 3000+ legal documents and summaries weekly ✅ Legal research engine improving query speed by 50 percent ✅ Nuworo CV pipeline achieving 82 percent disease detection accuracy ✅ Automation workflows saving teams 20+ hours per week ✅ AWS deployment pipelines delivering 99 percent uptime reliability These are systems used daily by lawyers, founders, analysts and enterprise teams. My work keeps AI platforms fast, secure and reliable under real load. Not prototypes. Not test servers. Full production systems. I handle secure deployments, scalable model serving, workflow automation and continuous delivery for AI products that must stay online and perform consistently. WHAT I BUILD AI Infrastructure and Model Serving • Containerized ML models • GPU and CPU inference scaling • Real time and batch processing • Embedding systems and vector search SaaS Backend Architecture • Multi tenant access control • Authentication and permissions • API gateways and secure data flows • Auditability and system monitoring Workflow and Business Automation • CRM, billing and chat integrations • n8n, Make, Zapier and webhook orchestration • AI agents with correct guardrails and safe execution DevOps and MLOps Foundations • CI and CD pipelines • Automated testing and deployments • Logging, metrics and uptime monitoring MY TECH STACK AWS: EC2, Lambda, CloudFront, S3, VPC, Load Balancers Containers: Docker and Kubernetes Backend: FastAPI, Django and Node Data and Vector Search: PostgreSQL, pgvector, Pinecone, Qdrant and S3 pipelines Infrastructure: Terraform, GitHub Actions, serverless frameworks Automation: n8n, Make, Zapier and webhook systems RECENT CLIENT RESULTS ✅ Deployed legal AI platform with continuous delivery and 99.9 percent uptime ✅ Built inference pipelines for drone imagery classification with consistent latency ✅ Automated onboarding and legal document workflows for SMEs and founders ✅ Reduced infrastructure cost by 35 percent through optimized model serving ✅ Standardized deployments and monitoring for a multi team AI platform INDUSTRIES I SUPPORT Legal Tech Agriculture and Drone AI Startups and SaaS AI Product Teams Compliance Workflows Operational Automation THE NUMBERS THAT MATTER • 3 full AI SaaS platforms deployed from zero to production • More than 20 AI services containerized and optimized for scale • Over 10,000 predictions and automation tasks processed daily • 40 to 70 percent reduction in manual work across automated teams • Zero critical downtime across all maintained systems WHY TEAMS CHOOSE ME I maintain AI systems under real usage, not academic scenarios I understand infrastructure, model behavior and business logic together I secure deployments using strong engineering principles I automate workflows so teams scale without adding headcount My documentation and communication are clear, direct and structured I take ownership of problems and deliver stable solutions TYPES OF PROJECTS I EXCEL AT ✅ Deploy AI or ML services on AWS with scalable inference ✅ Build backend architecture for complete AI SaaS products ✅ Create workflow automation across CRM, billing, chat and databases ✅ Set up CI and CD pipelines with monitoring and testing ✅ Integrate AI agents with real world workflows and safety guardrails ✅ Improve reliability, latency and uptime for existing AI infrastructure If you need AI systems deployed safely, workflows automated correctly and infrastructure that stays reliable under real usage, I can help. Send a short message about your current setup and I will outline a clear plan. AI Infrastructure Engineer, MLOps Engineer, DevOps for AI Products, Model Serving Specialist, FastAPI Deployment, AWS ML Pipelines, Vector Database Integration, Legal Tech AI Infrastructure, Drone Imagery ML Pipeline, AI Workflow Automation, n8n Automation Expert, Kubernetes for ML, CI and CD for AI Systems, Scalable Inference APIs, Multi Tenant SaaS Backend, Secure API Development, Production AI Deployment