I’m a dedicated software engineer with a passion for developing innovative solutions and contributing to impactful projects.
- 🔭 Current Focus: Developing scalable applications and exploring advancements in machine learning.
- 🌱 Learning: Enhancing my skills in cloud computing and containerization technologies.
- 💬 Ask Me About: Software development best practices, open-source contributions, and project management.
- ⚡ Fun Fact: I’m an avid cyclist and enjoy exploring new trails on weekends.
- 📫 How to Reach Me: Create an Issue or via LinkedIn
- Languages: PostgreSQL, T-SQL, Python, C#
- Databases: Postgres, SQL Server
- Tools: Github, VS Code, Terraform, Docker / Docker Compose, Prefect, dbt, Pandas, Postman, PyTorch, Tableau, Grafana
- Cloud Services: Google Cloud Platform (GCP), Amazon Web Services (AWS)
- UCSD ML/AI Capstone:
- Description: A UCSD ML/AI capstone project developing a framework for testing Automatic Speech Recognition (ASR) models using baseball commentary audio retrieved from YouTube and metadata retrieved from ESPN.
- Technologies Used: Python, ASR Models, Postgres
- Role: Product Manager, Data Analyst
- YT DLP ASYNC:
- Description: An asynchronous, parallel-processing tool for fetching and processing YouTube audio data using yt-dlp, designed to aid scalable and efficient data collection and analysis for academic research projects.
- Technologies Used: Python, yt-dlp, Postgres
- Role: Architect, Data Engineer, Developer
- Whisper Chunk Transcribe:
- Description: A Python application that utilizes OpenAI’s Whisper model to transcribe audio files in segments, enhancing accuracy and efficiency for lengthy recordings.
- Technologies Used: Python, OpenAI Whisper, Postgres
- Role: AI Developer, Data Engineer
- Uber Partner Events Website:
- Description: A platform enabling Uber city operations teams to create and manage in-person events for drivers, fostering community engagement.
- Technologies Used: PHP, Uber SSO integration, MySQL
- Role: Product Manager, Designer
- Website:
- Description: The official website for the Kennesaw State University Lacrosse team, providing information on team members, game schedules, and news updates.
- Technologies Used: C#, ASP.NET MVC, SQL Server
- Role: Full-Stack Developer
- Screenshots
- Data Access Layer:
- Description: A data access layer facilitating efficient database interactions for the KSU Lacrosse website.
- Technologies Used: C#, Entity Framework & Data Model, SQL Server
- Role: Backend Developer
- MCLA Data Import:
- Description: A tool to import and synchronize data from the Men’s Collegiate Lacrosse Association (MCLA) into the KSU Lacrosse website.
- Technologies Used: C#, XML/XSD, SQL Server
- Role: Backend Developer, Architect, Data Engineer