Kevin Hernandez
Senior AI Full Stack Engineer
Specializing in LLM-based platforms for real-time voice, text, document processing, and autonomous workflows. Cloud-native developer across Azure, AWS, and GCP.
Senior AI & Full Stack Engineer specializing in LLM based platforms for real-time voice, text, document processing, and autonomous workflows.
Experienced in cloud-native development across Azure, AWS, and GCP, with hands-on expertise in low/no-code tools including Vellum AI, Zapier, Make, n8n, and Pipedream.
Proven ability to collaborate with clinical and operations teams to deliver scalable, reliable AI solutions that improve documentation quality and reduce manual effort.
My goal is to leverage AI and full-stack expertise to drive measurable business impact and operational efficiency through intelligent automation.
Key Responsibilities & Achievements
- Led development of a HIPAA‑compliant AI platform on AWS (EKS, Amazon Bedrock, SageMaker) with RBAC and end‑to‑end audit logging, enabling real‑time voice, text, and document workflows.
- Engineered a low latency document processing pipeline (AWS Textract + Amazon Bedrock) with RAG based EHR context injection and MCP driven tool orchestration, sustaining 93%+ extraction accuracy.
- Designed intelligent workflow automation using AWS Lambda and Step Functions, leveraging RAG pipelines to generate OASIS reports and care summaries, reducing processing cycles by ~35%.
- Deployed autonomous agentic systems with MCP compliant tool interfaces for care plan routing and automated patient follow ups, cutting manual entry errors by 30%.
- Scaled FastAPI microservices on EKS with containerized inference workloads, enforcing HIPAA aligned network policies and PHI data isolation, achieving 99.8% uptime.
- Implemented continuous LLM evaluation and observability pipelines with RAG relevance scoring, hallucination detection, and PHI redaction monitoring.
Technologies Used
Key Responsibilities & Achievements
- Built and maintained customer-facing web application using Next.js with TypeScript and GraphQL, serving 50k+ monthly users for workforce training and knowledge capture.
- Developed core FastAPI backend services and GraphQL APIs powering DeepHow's AI knowledge engine, improving knowledge transfer workflows by ~30%.
- Containerized and deployed DeepHow's platform on GCP (GKE, Cloud Run, Cloud Storage) using Docker and GitHub Actions CI/CD pipelines.
- Built internal data pipelines and reporting dashboards using Next.js and FastAPI, cutting analytics turnaround from days to hours.
- Mentored junior engineers on TypeScript, FastAPI, and Docker best practices and collaborated with product managers to reduce post-release defects by ~25%.
Technologies Used
Key Responsibilities & Achievements
- Built backend services and REST APIs using Django and Django REST Framework to support smart building features, accelerating feature delivery by ~25%.
- Developed APIs with Firebase authentication, validation, and error handling, improving API reliability and reducing error incidents by ~20%.
- Designed and optimized PostgreSQL database schemas for IoT device and real estate data, improving query performance by ~35%.
- Integrated Kafka to stream real-time IoT sensor data, enabling live tracking of energy usage and facility operations, reducing data latency by ~40%.
- Deployed backend services on Azure (App Service, Functions, Event Hubs) using Docker, achieving 99.9% uptime.
Technologies Used
Key Responsibilities & Achievements
- Built a React single‑page application with MUI components, integrating FastAPI and MongoDB to streamline HR services and recruiting workflows.
- Developed product features including candidate tracking, job posting management, and employee onboarding interfaces.
- Participated in Agile ceremonies, code reviews, and CI workflows with Docker, improving sprint velocity by ~15%.
Technologies Used
Achievements
- Specialized in AI and Full Stack Development
- Core focus on Algorithms and Distributed Systems
Activities & Leadership
- AI Research Group Member
- Open Source Contributor
Relevant Coursework
Technical Skills
Languages
Frontend & UI
Backend & APIs
Databases
AI & Machine Learning
AI Agents & RAG
Cloud & DevOps
Workflow Automation
AI No/Low-Code
AI Coding Assistants
Professional Certifications
Industry-recognized credentials demonstrating expertise in AI, cloud computing, and modern technologies.
Generative AI Essentials on AWS
AIS Academy
AI in Finance Micro-Credential Certificate
IMA | Institute of Management Accountants
Generative & Agentic AI
IBM Consulting
Generative & Agentic AI Expert Architect
IBM Consulting
Azure Stack HCI Foundation Level
Dell & Microsoft
NABA Artificial Intelligence Certified
NABA Inc.
— Services
Project Catalog
Strategic consulting packages designed to accelerate your AI and integration initiatives with proven methodologies.
Integration Architecture Audit
Multi-System Strategy & Roadmap
AI Agent System Design
Multi-Agent Architecture & Orchestration
LLM Integration Blueprint
ChatGPT, Claude, Gemini API Strategy
MCP Integration Plan
Model Context Protocol for Enterprise AI
Automation Audit
Identify & Prioritize Process Automation Wins
ClickUp Workspace Audit
AI-Powered Analysis & Optimization Plan
CRM Selection Consulting
Find the Right CRM & Migration Plan
AI Automation Strategy
Custom Roadmap, ROI Model & Tech Stack
Voice AI Strategy
Transform Phone Operations with AI Agents
Vapi Tark AI Voice
AI Calls That Sound Human, Work Like Magic
Vapi AI Consultation
Transforming Phone Operations with Human-Like AI
Client Reviews
Trusted by CTOs, Engineering Leaders, and Founders to deliver enterprise-grade AI solutions
Mark Stephens
CRO
DeepHow
"Kevin delivered an exceptional AI integration that transformed our customer service operations. His deep understanding of LLMs and ability to architect scalable solutions saved us months of development time. The ROI exceeded our expectations by 300%."
Let's work together
If you would like to discuss a project or just say hi, I'm always down to chat.