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Michael Demilio

@michaeldemilio

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Senior AI/ML Platform Developer specializing in GenAI, LLM/RAG systems, and agentic workflows that ship to production.

United States

Message

What I'm looking for

I’m looking to own GenAI and agentic AI product delivery end-to-end—prompt→RAG→agents→cloud deployment—while building observability, cost governance, and measurable business impact.

I’m a senior AI/ML Platform Developer with 9+ years delivering production-grade software and 6+ years focused on Generative AI, LLMs, RAG architectures, and Agentic AI workflows. I embed LLM-powered capabilities—using GPT-4/4o, Claude 3.5 Sonnet, Gemini, and AWS Bedrock—into enterprise solutions across healthcare, real estate, and financial domains.

Hands-on is my default: I own projects end-to-end from architecture to production, aligning engineering decisions with measurable business outcomes. At Accenture, I built an Agentic RAG GenAI knowledge platform (AWS Bedrock + Agentic RAG) and an LLM observability and cost governance framework with LangSmith/Arize Phoenix/CloudWatch; before that, I shipped RAG chat and full-stack AI delivery on Azure (LangChain + Azure AI Search) and delivered cloud-native backends and enterprise webapps (Python/FastAPI, .NET Core, React/Angular) with reliable monitoring and CI/CD.

Experience

Work history, roles, and key accomplishments

Senior AI/ML Platform Developer

Accenture

Jan 2024 - Mar 2026 (2 years 2 months)

Built a production-grade Agentic RAG knowledge platform for 200+ daily users, reducing query response time by ~60% using AWS Bedrock, Qdrant, and Claude 3.5 Sonnet. Implemented LLM observability and cost governance with LangSmith, Arize Phoenix, and CloudWatch, cutting inference costs by ~42% and improving release reliability via Docker, Kubernetes (EKS), and Terraform.

Agentic RAG LangGraph Qdrant Langsmith Cloudwatch Redis Kubernetes

AI/ML Developer - Full Stack

Informulate

Jan 2020 - Dec 2023 (3 years 11 months)

Developed an Azure-based RAG enterprise chatbot for 50+ engineers using LangChain, Azure OpenAI, and Azure AI Search, integrating LangGraph conversational flows into React/Angular frontends. Reduced API costs by ~30% and latency from 4s to <1s via Redis caching, and built an ensemble document extraction pipeline using Azure Cognitive Services, Hugging Face Transformers, and PyMuPDF.

Azure AI Search Azure OpenAI Lang Chain LangGraph RAG Redis Cognitive Services PyMuPDF

Software Developer (Backend & Full Stack)

End Point Dev

Sep 2018 - Jan 2020 (1 year 4 months)

Built and scaled cloud-native backend services and RESTful APIs for data-intensive applications, improving reliability with Kubernetes (AKS/EKS) plus Prometheus, Grafana, and ELK logging. Reduced infrastructure costs by 25–35% through right-sizing, spot instances, and autoscaling, and delivered enterprise web apps using .NET Core/C# with React/Angular on AWS.

.NET Core React Angular REST APIs Kubernetes Terraform Grafana ELK Stack

Software Developer (Data & Integration)

PowerGate Software

Jul 2017 - Sep 2018 (1 year 2 months)

Built and maintained .NET and Python enterprise applications, including early Azure cloud migration and RESTful API support. Created structured data workflows and API integrations to support interoperability across client ecosystems, contributing to a secure and maintainable codebase.

C# .NET Python REST APIs Azure Backend Services API Integration