DevOps and Delivery
I build CI/CD pipelines with Terraform, automated testing with PyTest, and containerized deployments with Docker. Teams I've worked with ship faster with less overhead and better visibility into what breaks and why.
Hands-On Technical Lead
Senior engineer with around 9 years of experience designing data pipelines, AI systems, and cloud infrastructure. I specialize in requirements gathering and architectural planning, then stay hands-on through delivery.
I create better architectures than the race cars I drive, but I continue to be alive and racing so I think we're all just going to be just fine.
I'm a senior engineer with around 9 years of experience building data pipelines, AI systems, and cloud infrastructure from the ground up. I led technical work at Precoa for seven years, designing backend services and AI solutions for a B2B platform serving insurance and service-based businesses across the country.
I start every project by listening. Before picking tools or writing code, I run workshops with business stakeholders to define requirements, assess technical feasibility, and align on success metrics. Then I design the architecture, write the code, build infrastructure with Terraform, and wire up CI/CD for safe, observable delivery.
I'm currently consulting independently through Sirius Software Architecture, building custom data and software solutions for small and medium-sized businesses. My work spans AI systems, data pipelines, cloud infrastructure, full-stack applications, and embedded hardware projects.
I work across architecture and execution, with a focus on shipping production-grade systems that are observable, secure, and built to scale with teams and data.
I build CI/CD pipelines with Terraform, automated testing with PyTest, and containerized deployments with Docker. Teams I've worked with ship faster with less overhead and better visibility into what breaks and why.
I design and implement AI orchestration workflows using models from OpenAI, Anthropic, and LLama. I've built RAG pipelines, report validation agents, and custom prompt libraries, with MLOPS practices baked in from the start.
I design ingestion pipelines for data lakes and warehouses using Python, SQL, Snowflake, and AWS Lambda. I build for data governance, security, and compliance from day one, not as an afterthought.
I scope and build solutions on AWS using Lambda, API Gateway, Lightsail, DynamoDB, SNS, SQS, and EventBridge. I select services based on workload shape, cost visibility, and long-term operational complexity.
I apply software engineering discipline to hardware-focused systems, including telemetry integrations and tuning tools for motorsport hardware where real-world correctness is non-negotiable.
I run technical workshops with business stakeholders to surface requirements, define feasibility, and set success metrics. I've trained teams in AWS and Python while staying hands-on through delivery.
A selection of shipped work across AI, data engineering, cloud infrastructure, and full-stack products.
Securely integrates GPT models with Snowflake to enable natural language querying of data, empowering analysts with advanced AI capabilities while maintaining strict access controls.
View ProjectA comprehensive customer interaction tracking system that centralizes touchpoint data across channels. Features automated processing, configurable event types, and cross-platform deployment.
View ProjectA serverless forecasting framework built on AWS Lambda and Python to predict daily store sales, enabling data-driven inventory and staffing decisions.
View ProjectAn AI-powered quality assurance agent for Tableau reports. Automates subscription management and data validation using AWS Lambda, SNS, and the Tableau API.
View ProjectInfrastructure as Code (IaC) solution for dynamic Tableau subscription management, utilizing Python, AWS, and Terraform to automate user group updates.
View ProjectAn interactive AI assistant that generates tailored GitLab CI/CD configurations, simplifying pipeline setup by guiding users through project-specific requirements.
View ProjectA Jupyter notebook implementation of a recurrent neural network for text generation, demonstrating core concepts of deep learning and sequence modeling.
View ProjectImplementation of convolutional and simple neural networks for MNIST digit recognition, showcasing fundamental deep learning architecture design.
View ProjectA suite of data preprocessing tools for machine learning, featuring 'WordsWorth' for text shaping, one-hot encoding, and RNN output analysis.
View ProjectKeras-based neural network implementation for the 'moons' dataset, visualizing decision boundaries and demonstrating binary classification techniques.
View ProjectPredictive model using DecisionTreeRegressor to estimate Amazon seller fees, analyzing cost factors based on historical retail data.
View ProjectIntegration tool for iRacing telemetry data, bridging the simulator with external hardware and analysis software.
View ProjectPython scripts for tuning Megasquirt-based engine management systems. Compares target and actual AFR values to generate corrected volumetric efficiency tables. Used to tune around 4 real race cars.
View Project(Turned Off) A full-stack web application for gem miners to discover mining locations by state. Features user authentication, messaging between users, and private dig page creation. Built with Flask, PostgreSQL, Tailwind CSS, and deployed on AWS Lightsail with Docker.
View Project(Turned Off) A community-driven recipe platform for discovering and sharing authentic snack recipes from around the world. Features user accounts, recipe search, browsing by category, and social sharing. Built with a playful hand-drawn aesthetic and deployed on AWS Lightsail.
View ProjectA restaurant website for Cafe Si To featuring an elegant menu presentation, online reservations, and location information. Built with Django and deployed on AWS Lightsail with Docker.
View ProjectA full-stack tattoo artist portfolio website showcasing artwork, booking capabilities, and artist information. Built and deployed on AWS Lightsail with Docker. I handle all SEO optimization work to improve search rankings and drive organic traffic.
View Project