Hey, I'm Priyank 👋
Software engineer and technology leader based in California.
I build scalable systems, lead engineering teams, and ship products that solve real problems. Currently at Amazon, with a background from San Jose State University.
My career has been shaped by a love for building things — from distributed systems serving millions of customers to AI-powered products that make a difference. I've won hackathons three years running and I'm always looking for the next challenge.
Outside of work, I'm passionate about applying AI to education and marketing — building products that make these industries more accessible and effective.
What I'm Building
Side projects where I explore AI beyond my day job.
NovaBuildBot
An AI-powered digital marketing platform that builds and manages professional websites through a simple chat interface. Business owners describe what they need, and AI handles everything — design, content, SEO, and deployment.
Nova Academy
An AI-powered learning platform reimagining how people learn. Making quality education more personalized, accessible, and effective through intelligent tutoring and adaptive content.
Career Highlights
Software Development Manager, Amazon
Leading engineering teams to build mission-critical systems serving millions of customers. Distributed systems, microservices, and cross-functional technical leadership.
San Jose State University
Graduate studies in Computer Science (2006–2008). Strong foundation in algorithms, system design, and software engineering.
3x Hackathon Winner
Take Initiative Hackathon winner in 2015, 2016, and 2017. Consistent innovation under pressure.
Patents
Granted inventions from my work at Amazon and Mastercard.
Token-Based Biometric Payment Processing System
Issued by the USPTO on May 26, 2026. Covers a system for processing payments using biometric tokens.
Selecting the Best Card for a Purchase
Tracks purchases and rewards across credit, debit, and other trackable accounts to recommend the best card at point of sale. Priority date 2015-01-30.
Unification of Wearable Activity Data and Transaction Data
Pairs wearable computing device activity data with transaction and other data through activity profiles keyed by device identifier.
Content Identification Based on Wearable Device Data
Distributes content to a mobile device based on wearable activity notifications matched against stored content profiles and trigger data.
Standardization of Wearable Device Measurement
Establishes trigger events for wearable computing device activity using standardized activity unit types and values across applications.