Eric Hart

Orchestrated AI backend pipelines using Python, PostgreSQL, Supabase, MCP, and Chain of Thought modeling for automated multi-step workflows. Designed generative AI and RAG solutions using GPT, Gemini, Claude, and Hugging Face technologies. Built enterprise chat and voice workflows integrated with CRM and ITSM-style systems, Twilio, Microsoft Teams, Whisper-based speech recognition, and ElevenLabs text-to-speech. Developed AI agents and automation workflows with n8n, Zapier, and RPA, reducing repetitive task hours by 62%. Managed cloud deployments across AWS and Azure using Docker, Kubernetes, and GitHub Actions, and implemented encryption, access controls, audit logging, OCR, NLP, and computer vision pipelines.

Engineered RAG-based NLP and AI solutions for patient record processing, medical knowledge retrieval, summaries, documentation, and structured patient reports. Built secure chat and voice assistants integrated with Twilio and internal clinical systems to support appointment workflows and patient communication. Developed backend APIs with FastAPI, Flask, PostgreSQL, and Supabase, enabling retrieval of more than 10,000 records while improving speed by 35%. Deployed secure services on AWS and Azure with CI/CD, encryption, access controls, and healthcare-focused compliance practices. Integrated speech recognition, text-to-speech, Google APIs, and voice notifications, reducing missed appointments by 27%.

Automated banking operations using Python, n8n, Zapier, and RPA, reducing manual processing time by 42% and improving transaction accuracy by 37%. Implemented AI-driven support workflows using GPT-3.5 Turbo and NLP models to accelerate query resolution. Developed conversational support workflows connected to banking CRM and ITSM systems through secure REST APIs. Built Python and C# backend services with role-based access control and encrypted data storage. Designed cloud-native microservices with Flask, FastAPI, Docker, and Kubernetes on AWS and Azure, scaling services for more than 20,000 users. Delivered OCR and NLP pipelines using PostgreSQL and MongoDB for compliance document processing.