Full Stack Software Engineer specializing in Python and Java with 6+ years of production experience in AI integrations and microservices, complemented by hands-on infrastructure automation skills gained through building and maintaining homelab environments.
LangGraph Essentials - Python |
Deep Agents |
LangSmith Essentials |
LangChain Essentials - Python |
- Named Entity Recognition (NER) model fine-tuned on a custom dataset of sports injury reports.
- VSCode extension to visually mark overridden methods in Python code, enhancing code readability and navigation.
- Growing my semi-automated, permaculture homestead every day.
- Gaining systems administration and management experience while building out a home network of interconnected services and sensors using Proxmox VE, OpenTofu (Terraform), Docker, and Ansible.
- Deployment and configuration of a homelab environment using Proxmox VE for virtualization, Terraform for infrastructure provisioning, and Ansible for ongoing configuration and automation.
- A stack of self-hosted data services for ingesting, processing, and presenting real-time insights from home automation data using Grafana and InfluxDB.
- A personalized stack of sports data services for tracking and analyzing favorite teams.
- Data ingestion with FastAPI services and PgVector backend.
- Centralized gateway build with Spring Cloud Gateway.
- Agentic layer for autonomous decision-making using OpenAI Go
- Leveraging Retrieval-Augmented Generation (RAG) methods to optimize job search workflows.
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Built an automated ETL pipeline leveraging Python (Selenium, PyMuPDF, Tesseract OCR) to extract public docket records, achieving a 10x throughput increase over manual processes.
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Created a Streamlit-based interface using Pandas to enable interactive exploration and analysis of docket records.
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Drove development of three Python microservices that powered the RAG inference platform, optimizing retrieval pipelines and context management for improved response quality.
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Evaluated and selected embedding models, search engines, and NLP libraries through A/B testing and benchmarking to ensure optimal performance across multimodal knowledge bases.
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Mentored engineers across multiple regions while leading Agile sprint planning and providing technical guidance on architecture decisions.
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Architected and deployed a production RAG inference service on AWS using containerized Flask microservices, migrating from a proof-of-concept to a scalable production architecture.
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Standardized Python repository best practices with appropriate service abstractions to facilitate test-driven development and robust CI/CD workflows.
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Led cross-functional efforts to standardize database and API schemas, enabling comprehensive end-to-end testing coverage across all public APIs.
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Migrated high-volume messaging workflows to a scalable serverless architecture using AWS SQS and Lambda functions, improving system reliability and reducing operational overhead.
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Developed an Android SDK enabling Firebase push notification integration to establish mobile push messaging capabilities.
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Enhanced application observability through runtime metrics, achieving a 25% reduction in garbage collection pauses.
Freedom High School
Honor Graduate | Class of 2013
- Freedom High School Football Team
- 2012: Team Captain, MVP and All-County honors
- Freedom High School Lacrosse Club
University of Central Florida
Bachelor of Science in Computer Science | December 2018
- Dean's List; Major GPA: 3.3, Cumulative GPA: 3.0
- Member of UCF Rugby Club