Isaiah F.

I build AI agents and automation systems that take real business work off your team's plate—not just AI demos. I specialize in Claude/LLM integrations, AI agents, business automation, RAG, API integrations, and Python/FastAPI, with production experience building systems that operate reliably with minimal human intervention. I have 5+ years of software engineering experience across AI, healthcare, marketing, fintech, and automation. My recent work focuses on the engineering behind reliable AI products: agent memory, tool orchestration, prompt management, LLM evaluation, confidence-gated automation, and AI observability. What I can build • AI Agents & Agentic Systems — autonomous agents, tool use, agent memory, multi-agent workflows, guardrails, and orchestration • AI Automation — business process automation, API integrations, web automation, bots, CRM workflows, and unattended jobs • Claude & LLM Applications — Anthropic Claude, OpenAI, structured outputs, tool calling, streaming, and production integrations • RAG Systems — Pinecone, ChromaDB, embeddings, semantic search, retrieval pipelines, and multi-tenant knowledge systems • AI Evaluation & Reliability — evaluation harnesses, regression testing, confidence gating, tracing, monitoring, and failure analysis • Backend & API Development — Python, FastAPI, Django, REST/GraphQL, PostgreSQL, MongoDB, Redis, Celery, Docker, and AWS • Document AI — OCR, information extraction, document understanding, and human-in-the-loop workflows Production experience • Built multi-tenant RAG infrastructure using Pinecone and ChromaDB for autonomous AI agents. • Built prompt and instruction management systems that allow agent behavior to evolve without code changes. • Engineered healthcare document-processing pipelines achieving ~92% mean recall for automated diagnosis coding. • Built LLM evaluation and regression infrastructure to measure AI performance consistently across repeated runs. • Designed AI observability and monitoring systems to identify silent production failures. • Built secure backend and payment infrastructure using Django, GraphQL, PostgreSQL, Redis, Celery, Docker, and CI/CD. I care about clean architecture, measurable results, reliability, and maintainability. I don't use AI where deterministic automation is the better solution—I combine both to build systems that work reliably in production. Core stack: Python • FastAPI • Anthropic Claude • OpenAI • AI Agents • RAG • Pinecone • ChromaDB • AWS • PostgreSQL • MongoDB • Docker • Redis • Celery • Django Available for: AI Agents • AI Automation • Claude/LLM Development • RAG • API Integrations • AI Engineering • Back-End Development • AI Ad Creation• Full-Stack Development