Iβm an early career full-stack developer and data scientist, with a focus on software infrastructure, research, and open-source software.
- Full-Stack Development: Creating seamless, scalable web applications from front-end to back-end.
- Examples include: a platform for computational biologists to catalogue, launch, and monitor data workflows.
- Open source contributions: streamlit
- Data Science & Machine Learning: Solving real-world problems using data-driven methods and advanced ML models.
- Project Highlights:
- ASL Recognition: Applying computer vision and machine learning to recognize American Sign Language gestures.
- Indoor scene reconstruction: Orchestrating a workflow to reconstruct indoor scenes to configurable 3D meshes with object flexibility.
- Semantic queries for OLAP: Applying LLMs to enable natural language OLAP quries to streamline data analytics for non-technical users.
- [Open to recommendations! Suggest a project for me to highlight here.]
- Programming: Python, JavaScript (Node.js, React), C++, SQL
- Data Science: pandas, NumPy, scikit-learn, TensorFlow, Apache Spark
- Machine Learning: Deep Learning, Computer Vision, NLP
- DevOps & Cloud: Git, Docker, Github Actions AWS
- Advanced deep learning areas and applications (SSL, computer vision, databases)
- Cloud-native data pipelines (DevOps, infrastructure focus)
- New baking recipes (for fun!)
- Or reach out via GitHub!
- π₯ I competed on the regional and national levels for collegiate Taekwondo.
- π° I love baking and experimenting with new recipes (mostly cookies!).
- πΈ I do both sports and portrait photography!
Thanks for stopping by my profile!



