Tanuj Vishnoi is a software engineer with 9 years of experience building production-grade AI systems, currently focused on GenAI and computer vision at Intuit from Bengaluru. He has a strong background in embedded AI and real-time vision solutions, demonstrated by a Raspberry Pi drowsiness-detection project and multiple model experiments during a Deep Learning internship at Nvidia Labs. Prior roles at JPMorgan Chase sharpened his engineering discipline at scale, while early work in Django web development and student leadership shows full-stack versatility and product-mindedness. Comfortable in Java and embedded environments, he blends research-informed model selection with pragmatic engineering to move prototypes into reliable deployments. Notably, he aims to build AI that replaces human workflows rather than merely assisting them, reflecting a focus on automation and end-to-end impact.
8 years of coding experience
4 years of employment as a software developer
Nanodegree, Computer Vision, Nanodegree, Computer Vision at Udacity
Bachelor of Engineering (B.E.), Computer Engineering, Bachelor of Engineering (B.E.), Computer Engineering at Thapar Institute of Engineering and Technology
High School, Mathematics and Computer Science, High School, Mathematics and Computer Science at Stella Maris Inter College
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