Building with technical precision & algorithmic curiosity.
I'm Vedaang Sharma — a Computer Science student, full-stack engineer, and AI researcher focused on designing resilient distributed systems, intelligent web applications, and computer vision models.
My work spans low-latency backend architectures, deep learning model deployment, and human-centered user experiences. I thrive on solving hard engineering challenges and translating research into production systems.
Engineering Principles
The engineering tenets that guide how I architect systems, write code, and collaborate.
1. Performance & Scale
Prioritizing low-latency APIs, efficient query patterns, and resource-conscious memory design from line one.
2. Algorithmic Rigor
Bridging state-of-the-art AI research with practical production pipelines and verifiable evaluation metrics.
3. Clear Architecture
Building modular, well-documented, and predictable software systems that scale cleanly across teams.
Work Experience
Chronological work history, internships, and engineering positions.
“Great engineering isn't just about making code work; it's about building resilient, understandable, and elegant systems that empower users.”
— Vedaang Sharma