Open to opportunities

Rion Hutsell

@rionhutsell

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I build cloud-native full-stack Python and GenAI apps—delivering agentic RAG systems end-to-end.

Zimbabwe

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What I'm looking for

I’m looking to build and ship cloud-native full-stack GenAI products, owning RAG/agentic features, robust APIs, and automated testing in Agile teams—while scaling reliable deployments from concept to production.

I’m a Full Stack Python & Cloud Engineer with 9+ years of experience across software development, Gen AI integration, QA, and customer-focused engineering. I specialize in designing and deploying cloud-native applications using Python, FastAPI, Flask, and React on AWS.

I’ve built AI-powered full-stack applications that integrate local LLM models (Ollama/Mistral) with RESTful APIs and cloud-backed storage (AWS S3, SQLite, VectorDB) to deliver intelligent data retrieval and chat workflows. I architect Retrieval-Augmented Generation (RAG) systems with ChromaDB vector stores and multi-turn conversational memory, and I deploy scalable, portable solutions using Docker and Kubernetes. I also implemented Named Entity Recognition (NER) using BERT-based NLP pipelines, enabling intelligent query routing and cloud-integrated processing workflows.

Before focusing on GenAI development, I strengthened engineering reliability by establishing QA processes from the ground up for an automated hiring platform, improving release quality with structured test plans and automation using Gherkin/BDD tooling. Across my roles, I’ve worked in Agile/Scrum environments to take solutions from concept to production—balancing modular architecture, async programming, CI/CD, and practical customer impact.

Experience

Work history, roles, and key accomplishments

Current

Full Stack Gen AI Developer

Current

Revature

Jan 2026 - Present (4 months)

Developed AI-powered full-stack applications using Python (FastAPI), React (TypeScript), LangChain, and LangGraph, integrating local LLMs with RESTful APIs and AWS/cloud-backed storage for intelligent chat workflows. Architected RAG systems with ChromaDB, implemented NER pipelines, and deployed containerized services orchestrated with Docker and Kubernetes.

fastAPI Pydantic React Typescript Lang Chain LangGraph RAG (ChromaDB Vector Search AWS S3 EC2 RDS REST APIs Docker Kubernetes

Python Developer / Senior Technician

Allegiance Technologies & Consulting

Sep 2024 - Jan 2026 (1 year 4 months)

Designed and deployed a cloud-native web application using Python (Flask) on AWS, implementing authentication and task management features with EC2, S3, and RDS. Developed scalable RESTful APIs with SQLAlchemy ORM and automated CI/CD using AWS CodePipeline and GitHub Actions in Agile/Scrum cycles.

Flask API AWS EC2 S3 RDS SQLAlchemy REST APIs AWS CodePipeline GitHub Actions Authentication Agile Scrum

Software Engineer

Havel Development

Oct 2022 - Sep 2024 (1 year 11 months)

Modernized legacy systems by introducing Python scripting and automation to support migration to containerized environments. Contributed to backend improvements with Python utilities for data processing and system integration, supporting end-to-end debugging and workflow automation in Agile.

Backend Development System Integration Containerized Environment Migration Debugging Git

QA Engineer

Bayard Advertising

Jun 2021 - Sep 2022 (1 year 3 months)

Established QA processes from the ground up for an automated hiring platform, creating structured workflows and improving release quality across web and backend systems. Designed and executed test strategies and automated API testing using Gherkin (BDD) with Postman, Katalon Studio, and Zephyr Scale.

Test Planning Test Strategy Gherkin Katalon Studio Zephyr Automated Testing

Apple Certified Mac Tech

Apple

Sep 2015 - Jun 2019 (3 years 9 months)

Provided hands-on technical support for macOS, iOS, watchOS, and tvOS, diagnosing and resolving hardware and software issues through structured troubleshooting. Delivered 1:1 customer training at the Genius Bar and achieved 93%+ customer satisfaction while earning the Credo Award.

Mac OS Troubleshooting Customer Support Customer Training