Get to know me
Based in
Dallas,TX
3+
Years Experience
10+
Projects Built
20+
Technologies
I'm a software engineer focused on building intelligent applications that combine machine learning with scalable backend systems. Over the past few years I've worked on production web applications using .NET, Blazor, and SQL Server while expanding into AI system development. Recently I've been building and deploying AI-powered applications including LLM chatbots, Retrieval-Augmented Generation (RAG) assistants, and machine learning models using Python, FastAPI, and vector databases. I enjoy designing AI systems that integrate LLM reasoning, semantic search, and data pipelines to solve real-world problems. When I'm not coding I'm experimenting with new AI architectures, building agent systems, and exploring the latest developments in generative AI.
North Carolina Department of Environmental Quality
Developing and maintaining a data-driven web application used by researchers and scientists to manage biological datasets. • Developed backend services and UI components using Blazor (.NET Core), C#, and SQL Server • Designed scalable APIs and data processing workflows for scientific data management • Implemented validation pipelines and database optimization for large biological datasets • Built interactive dashboards enabling scientists to visualize and manage data • Collaborated with cross-functional teams in an Agile development environment
Xpand IT
Worked on backend services and automation tools for data processing applications. • Developed backend services using Python and Django • Built data extraction pipelines processing HTML and JSON data sources • Integrated REST and SOAP APIs for data workflows • Implemented cloud storage solutions using AWS S3 and RDS • Built Docker containers and CI/CD pipelines using Jenkins
University of North Texas
What I've built
Projects demonstrating my experience building LLM-powered applications, AI systems, and scalable full-stack platforms.
A full-stack, multi-agent document Q&A system with smart planning, adaptive Chroma MMR retrieval, self-checking answers (validate/refine), and cited responses. Supports follow-up questions via persistent SQLite checkpoints and streams outputs live with step-by-step pipeline visualization.
Analytics dashboard for monitoring ML model performance, data drift, and inference metrics with interactive visualisations.
CLI + web UI for managing CI/CD pipelines across GitHub Actions, GitLab CI, and Azure DevOps from a single interface.
A collection of developer productivity CLI tools: file watcher, log formatter, and env manager.
What I work with
Technologies and tools I use to bring ideas to life.
Python
AI / Machine Learning
PyTorch
AI / Machine Learning
Generative AI (GenAI)
OpenAI / Anthropic / Gemini
AI / Machine Learning
RAG Ecosystem
LlamaIndex / LangChain
AI / Machine Learning
Agentic AI
LangGraph / CrewAI
AI / Machine Learning
Local LLMs
Ollama / vLLM / HuggingFace
AI / Machine Learning
Prompt Optimization
DSPy
AI / Machine Learning
Data Ingestion / Parsing
Unstructured / LlamaParse
AI / Machine Learning
MLOps & Tracking
MLflow / Weights & Biases
AI / Machine Learning
Pandas & NumPy
AI / Machine Learning
Scikit-learn
AI / Machine Learning
React / Next.js
Frontend
TypeScript
Frontend
Blazor WebAssembly
Frontend
Tailwind CSS
Frontend
Redux / Zustand
Frontend
Vite / Webpack
Frontend
D3.js / Chart.js
Frontend
UI Libraries (Shadcn / Radix)
Frontend
C# / .NET 8
Backend
FastAPI
Backend
Python / Django
Backend
Node.js
Backend
REST & gRPC
Backend
GraphQL
Backend
JWT / OAuth2 Auth
Backend
Celery / Background Jobs
Backend
Nginx / Kestrel
Backend
PostgreSQL / pgvector
Database
SQL Server
Database
MongoDB
Database
Redis
Database
Vector Databases
Chroma / Pinecone / FAISS
Database
ORMs
Entity Framework / SQLAlchemy
Database
AWS
Cloud / DevOps
Azure
Cloud / DevOps
Docker
Cloud / DevOps
CI/CD
Cloud / DevOps
Jenkins
Cloud / DevOps
DigitalOcean
Cloud / DevOps
Kubernetes
Cloud / DevOps
Terraform
Cloud / DevOps
Git
Tools
GitHub Actions
Tools
Linux / Bash
Tools
Poetry
Tools
Pytest
Tools
LangSmith
Tools
Jupyter Notebook
Tools
Let's connect
Interested in working together or discussing opportunities in AI, machine learning, or software development? Feel free to reach out and I’ll get back to you as soon as possible.