Senior at Texas A&M University passionate about building scalable software solutions
I'm a Data Engineering student at Texas A&M University, graduating in May 2026. I'm interested in the intersection of software and data — building systems that are scalable, maintainable, and useful for making informed decisions.
I currently live in Houston, Texas and I enjoy spending my time playing basketball, working out, and trying new restaurants. I love to travel when I can and enjoy keeping up with the latest in tech. I’m naturally curious and always looking to learn something new, whether it’s through side projects, new tools, or just diving into whatever catches my interest.
I'm seeking opportunities where I can continue developing as a software or data engineer, contribute to real-world systems, and learn from experienced teams. My passion to learn and stay updated with the latest advancements in software and data engineering technologies is truly what drives me.
- Developed pallet storage logistics software using Java that enabled warehouse robots to select the most optimal pallet storage container, improving selection accuracy by 25% and reducing retrieval time by 15%
- Implemented 15+ interfaces using Nocobase and SQL, enabling warehouse operators to efficiently update, insert, and delete data from AMR and PLC node databases, improving data management efficiency by 20%
In progress
- Developed a Python script achieving 1.38% error in image distortion removal and contributed to a C++ visual odometry pipeline
- Presented DinoV2's impact on feature tracking for visual odometry at A&M Science Symposium to a non-technical audience
- Deployed Google Cloud Cortex Framework for SAP and developed Looker dashboards for intuitive data visualization
- Acquired expertise in data engineering, complemented by certifications in Google Analytics, Machine Learning, and Looker
Let's connect and discuss opportunities!