
1
1
Ethiopia
1 year of experience
I am an AI Product Builder and founder driven by a passion for solving real-world problems with software people actually want to use. I approach development with strategic pragmatism, prioritizing the rapid deployment of functional, high-impact products over pure theoretical research. Currently, I am building and scaling Tablo (tablo.study), an AI-powered Socratic whiteboard study tool. As the founder, I design the complex multi-agent workflows that power the platform's intelligence. My focus is on robust system architecture: handling advanced document parsing, building custom backend test suites, optimizing RAG latency with vector databases (Qdrant), and implementing real-time WebRTC voice loops for low-latency user interaction. My technical stack is driven by practical application - leveraging Python, C++, React, FastAPI, and modern AI development pipelines to turn ambitious concepts into reliable software. While completing my B.Sc. in Software Engineering, my primary drive remains the same: shipping usable, real-world AI solutions that deliver measurable value to everyday users. I am always looking to connect with other founders and innovators in the applied AI space.
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Most students choose careers based on money, parental pressure, or simply not knowing what else exists. They never get a real window into what a career actually feels like before committing years of their life to it. I got lucky, a teacher introduced me to programming in 11th grade and I found something I genuinely loved. Most people never get that moment. StepIn exists to give everyone that moment. Professionals join StepIn and reflect on their workday through a natural AI journal conversation - sharing real highs, lows, decisions, and doubts. When saved, the AI automatically converts that journal into an immersive interactive career experience called a Shadow Day - a sequence of real career moments with real decisions and real consequences. Students browse available career worlds and step inside. They make choices, face pressure, and experience what that career actually feels like from the inside. A Profile Agent silently tracks every choice and hesitation time, building a picture of who the student actually is. When the experience ends they receive a personalized Career DNA card - showing what genuinely energized them, what drained them, what their choices reveal about them, and which careers to explore next. Over time the student profile grows stronger with every world they explore - building a strength map and ranked career field recommendations that get more accurate with every experience. Built with LangGraph, Gemini 2.5 Flash, Next.js, FastAPI, and Supabase. StepIn is not a quiz. It is not a chatbot. It is a mirror - and it shows students who they are before the world forces them to decide.
10 May 2026