Parva Shah

Parva Shah is a skilled Software Engineer with a strong background in full-stack development and distributed systems, demonstrated through her work at companies like SellWizr, Zenture IT, and her current role as Founding Data & AI Engineer at Leo. She has a proven ability to optimize performance, build scalable solutions, and contribute production-grade code. vercel+2

She possesses a diverse technical skill set encompassing multiple programming languages (Python, Java, C++, JavaScript, Go, TypeScript), frontend and backend frameworks (React, Node.js, Flask, Django), databases (PostgreSQL, MongoDB), and cloud technologies (AWS, Docker, Vercel). Her personal website highlights her passion for continuous learning and contributing to open-source projects. vercel+1

Parva has significant experience in data-intensive projects, including building AWS data pipelines, developing Python scrapers, and implementing ML research tooling to improve model accuracy and data processing efficiency. Her roles as a Graduate Software Engineer at RIT and Research Assistant at Concordia University showcase her analytical and problem-solving abilities in complex technical environments. vercel+1

Beyond her professional work, Parva engages in notable personal projects such as InMailer, a bulk emailer for networking, demonstrating her initiative and practical application of her engineering skills. linkedin+1