I'm Kashyap K — a B.Tech undergraduate at PES University, interested in artificial intelligence, machine learning, and building intelligent systems that turn ideas into real-world products.
I'm a Computer Science student passionate about Artificial Intelligence, Machine Learning, and building technology that matters. My focus goes beyond learning concepts — I enjoy transforming ideas into projects and real products.
Right now I'm building a strong foundation in AI/ML through deep learning, hands-on projects, hackathons, and continuous self-improvement — with a long-term goal of building intelligent systems that solve meaningful problems at scale.
I believe in learning by building, thinking long-term, and constantly pushing beyond my comfort zone to create things that matter.
A full-stack AI nutrition assistant built for Indian cuisine — the food most apps get wrong. A curated recipe + product knowledge graph, a vision model trained on Indian dishes, and a conversational layer ship from one codebase across three surfaces: an Electron desktop app (Microsoft Store + NSIS), a Chrome extension for right-click nutrition on any food image, and a React web app served by FastAPI. A phone-only kitchen mode turns any smartphone into a hands-free cooking coach via WebSocket voice streaming and server-side speech-to-text.
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05A multi-agent system where specialized AI agents collaborate, critique, and negotiate to produce validated travel itineraries. When agents hit a deadlock — fixing the budget breaks the schedule, fixing the schedule re-breaks the budget — a deadlock-detection and compromise-resolution system finds the minimum relaxation needed to converge on a valid plan.
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02A distributed image-processing pipeline using Kafka for asynchronous communication between master and worker nodes — enabling scalable, fault-tolerant, parallelized image transformations across the cluster.
01A full-stack MySQL + Flask app to manage and analyze wildlife conservation data — species tracking, habitats, rescue operations, sponsorship funding and medical records — with dynamic dashboards and real SQL logic: triggers, stored procedures, and user-defined functions.
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03Working inside PES University's venture studio — helping early-stage startups validate product-market fit and shape deeptech (AI/ML, IoT) ideas through the studio's incubation and acceleration programs.
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04Bangalore, Karnataka, India
Usually within 24 hours
Internships · Research · Collaborations
