kartikesh karangale

I’m an aspiring Product Manager with an Electronics & Telecommunication engineering background and a specialized certification in Product Management with Generative & Agentic AI (BITSOM x Masai School of Business). I focus on bridging engineering depth with business thinking so I can ship user-centric solutions that perform in the real world.

In my flagship capstone, I built an AI-Powered Intelligent Travel Planning Platform through end-to-end product work for “Route Craft.” I identified the core user problem—decision paralysis from fragmented platforms and long 7–20 day planning cycles—using research, then applied JTBD Frameworks and created two user personas (Solo Experience Seeker and Family Trip Planner) to anchor my strategy.

I designed a 4-agent AI architecture (Planner, Weather, Crowd, Suitability Agents) that synthesizes real-time data to generate narrative-style itineraries, replacing raw data overload with confident decisions. I defined a North Star Metric (Decision Confidence Score >90%), set product health KPIs (DAU/MAU 60%, Activation Rate 18%, Nudge Engagement 68%), and built a growth metric (Viral Coefficient K=0.34). As Tech Lead, I oversaw UI/UX design, live guidance feed, and agent orchestration logic while guiding a cross-functional team of 3.

My technical credibility comes from building real systems too—most notably a Multimodal Ambulance Detection System that won Smart India Hackathon 2022 and earned awards like ICICEEE 2022 Best Presentation and PICT Impetus Project First Place. I designed and built a real-time detection system using computer vision + audio processing on a Jetson Nano edge device, reducing ambulance detection latency by 40%, and I filed a patent in May 2024. I also translate ML capabilities into product value through projects like Age & Gender Detection, Gesture-Based Game Controller, and Uber Demand Prediction—always aiming to turn capability into measurable user and business outcomes.