Eva T.

I'm an AI developer. I've built 50+ AI agents and RAG systems that answer from your documents and databases, plus LLM chatbots and ML models, with HIPAA-aware EHR, FHIR and HL7 work for healthcare clients. Top Rated Plus on Upwork. Work I can show: - Kylung Health, a respiratory screening web app (live): patients record a cough in the browser, a Python service turns it into spectrograms and a neural network finds the cough events (about 92% event detection in testing on about 1,000 public samples). I built it with a patient portal, a doctor review panel, a clinical ops dashboard and an ML admin panel. - IONYX, an AI patient intake app (live): an adaptive 7-step interview where an LLM writes the next questions from the patient's answers, with emergency flags, patient and doctor PDF reports with a QR code, and an access log of who opened each report. - An AI blood work review engine for a TRT clinic: it reads lab PDFs, places each marker in the clinic's zones and writes patient and clinician reviews into HubSpot. What I usually get hired for: - AI agents that take actions across your tools and data, built with LangChain and the OpenAI API - RAG support systems with a hybrid approach: detect the user's intent, search a vector database or your SQL database, then combine the results into one grounded answer - LLM chatbots and AI assistants for support, intake and internal knowledge - Machine learning models and Python AI services, integrated into your existing app - Healthcare AI: HIPAA-aware builds, EHR integrations over FHIR and HL7, and clinical reports a doctor can read How I work: I agree up front what the AI may and may not do, then build in small steps you can test. I test with real cases, add guardrails and a human review step where it matters, and keep prompts and rules in files you can change. I use an AI-assisted workflow for code review and repetitive checks, and I check every change myself. Tell me what your product should be able to do with AI, and I'll show you how I'd build it.