Ali N.

Top Rated · 100% Job Success · $14K+ earned on Upwork. I build AI systems that survive real users, not just demos. Most AI projects die somewhere between the prototype and production. The agent works in a notebook, then falls apart on real data, real latency, and real edge cases. My work is the boring part that makes AI actually ship: integration with your existing systems, retrieval that doesn't hallucinate, and evaluation that proves the thing works before your customers find out it doesn't. Recent results: Built a production pricing agent that monitors 6,000+ products and reprices against competitors in real time Designed a RAG system that lets non-technical users query BigQuery in plain English, with grounded and source-cited answers Fine-tuned RoBERTa for buying-intent detection and raised accuracy from 92% to 97% in a live agent pipeline Currently building enterprise search, product discovery chatbots, and multi-agent systems on an enterprise RAG platform, including batch evaluation across competing agent architectures What I build: AI Integration. Connecting LLMs and agents into your actual stack: CRMs, databases (BigQuery, Supabase), internal tools, and workflows. I use n8n where it fits and custom Python where it doesn't. RAG and knowledge chatbots. Hybrid search, reranking, metadata filtering, hallucination mitigation, and proper evaluation. Built for accuracy on your documents, not generic answers. Production AI agents. Multi-agent orchestration with LangGraph, LangChain, and Google's ADK, with guardrails and human review steps where the stakes require it. How I work: I will tell you honestly when something is over-engineered, when a simple workflow beats an agent, and what the failure modes are before we build anything. I scope in phases so you see working software early instead of waiting months for a big reveal. Ten years in engineering, GCP-certified ML background (Vertex AI, GKE), and full-stack skills when needed (Next.js, TypeScript). I also have supporting depth in computer vision (YOLOv11 pipelines at roughly 90% precision) and MLOps. Best fit: teams that need their AI to be reliable. E-commerce, SaaS, and any business where a wrong answer costs money. Message me with what you're trying to automate or build and I'll give you a straight read on the right approach.