Ali H.

AI Agents & Automation | Senior Full-Stack SaaS, LLMs, RAG, MVPs

AI Engineer specializing in production AI agents, RAG pipelines, voice AI, and LLM automation using Python, LangChain, LangGraph, FastAPI, and React. Top Rated, 100% Job Success, $200K+ earned across 6,300+ hours and 50 jobs on Upwork. I've helped 25+ businesses across healthcare, distribution, hospitality, construction, and enterprise SaaS deploy AI that delivers measurable ROI. Not prototypes. Not demos. Real systems running 24/7. 𝐑𝐄𝐂𝐄𝐍𝐓 𝐑𝐄𝐒𝐔𝐋𝐓𝐒 𝐁𝐘 𝐈𝐍𝐃𝐔𝐒𝐓𝐑𝐘 Healthcare — AI voice notetaker saving physicians 6 hrs/week and cutting patient follow-up questions 40%. HIPAA-compliant voice AI converting oncology consultations into plain-language patient summaries. Clinical decision support chatbot with account-isolated patient data access. Distribution — AI order parsing across 25,000+ SKUs: processing cut from 30 minutes to under 1 minute per order, 97% data accuracy, 70% faster fulfillment, zero manual entry. Conversational portal agent for natural-language access to orders, invoices, and inventory. Hospitality — AI voice + WhatsApp agent handling 95%+ of bookings and inquiries automatically. Zero dropped leads, GDPR-compliant. Construction — Automated lead discovery agent scanning capital campaigns, grants, and property purchases with 90%+ lead relevance. Local Services — AI booking agent managing appointments, rescheduling, cancellations, and CRM updates end to end. Enterprise SaaS — Centralized AI hub replacing 5+ tool subscriptions with SSO, credit controls, audit trails, and interconnected agents. 𝐓𝐄𝐂𝐇 𝐒𝐓𝐀𝐂𝐊 - AI Orchestration: LangChain, LangGraph, LlamaIndex, Pydantic AI, OpenAI API, Anthropic Claude, AWS Bedrock, Vertex AI, MCP servers - Agentic AI: multi-agent frameworks, agentic workflows, autonomous AI systems - Voice AI: Retell AI, OpenAI Realtime API, ElevenLabs, Whisper, speech-to-text, text-to-speech - RAG and Vector DBs: RAG pipelines, Pinecone, Weaviate, ChromaDB, Azure AI Search, hybrid search - Document Intelligence: OCR, PDF parsing, PO automation, document Q&A, NetSuite and ERP integration - Observability: LangSmith, Logfire, Arize Phoenix, LLM evaluation, prompt testing - Backend and Infra: Python, FastAPI, Django, Docker, Kubernetes, AWS, Azure, GCP - Frontend: React, Next.js, Streamlit - Data: PostgreSQL, MongoDB, Redis, Elasticsearch, ETL pipelines - Integrations: HubSpot, Salesforce, NetSuite, Stripe, Slack, Zapier, Make 𝐇𝐎𝐖 𝐈 𝐖𝐎𝐑𝐊 Fixed scope, fixed cost, locked milestones from day one — no scope creep, no hidden charges. End-to-end ownership from concept to production, refined over 12 years of shipping. Best fit for teams with a defined problem, a budget of $5K+, and a target of measurable savings within 90 days. Message me with your use case and I'll reply with a concrete technical approach — not a canned pitch.