About Me
Full-stack software engineer currently building at Scale AI. Virginia Tech ’23. Passionate about learning and making software that actually works. Outside of work, I’m developing a large-scale mobile application end-to-end, with a focus on maintainability, performance, and real-world usability. Alongside that, I regularly ship and iterate on smaller projects. This site highlights work that reflects how I approach building, shipping, and improving production-quality software while continually sharpening and expanding my skill set.
Work Experience
Software Engineer
Scale AI • 2023 - Present
Software engineer at Scale AI, specializing in scalable API development and machine learning infrastructure. I design and implement production REST APIs using Django and Flask, employ machine learning solutions with PyTorch, and ensure code quality through rigorous testing and optimization across multiple languages. My focus spans from backend architecture and system design to data integrity and performance assessment, with a commitment to building reliable systems that power AI-driven applications.
Education
Bachelor of Science
Computational Modeling and Data Analytics (CMDA)
Virginia Tech • 2019 - 2023
At Virginia Tech, I built a strong foundation in computer science and data analytics—covering data structures, object‑oriented programming, algorithms, math, and statistics. I applied Python, Java, and JavaScript across projects in machine learning and full‑stack development. These experiences align with today’s software engineering market and sharpened my ability to deliver reliable, data‑driven solutions.
Backend Development Certifications
Boot.Dev • 2025
Completed certifications in backend development through Boot.dev, a project-based learning platform. Coursework covered Python, TypeScript, SQL, and core infrastructure tools including Docker, Linux, and Git. Also earned certifications in data structures & algorithms, HTTP servers, and cloud architecture with AWS and Kubernetes.