2025 โ We Lived the Pain
Onboarded into fast-moving teams with docs all over the place. - Wrote the same onboarding answers 6 times
Realized:Training should write itself
Most learning systems treat your team like empty vessels. They throw videos, PDFs, and quizzes โ and hope something sticks.We're building the first AI-native trainer born to learn from your team's real work and teach it back faster than any human ever could.
Get early accessLearnChain starts from your team's real work, not from generic training content.
It becomes your company's memory โ mapping and explaining internal knowledge faster than any human could.
Slack, Zoom, Confluence, GitHub โ LearnChain organizes everything into structured, teachable paths.
LearnChain is not a basic learning platform or chatbot โ it's a living engine built from your team's DNA.
It studies real work โ threads, meetings, documents โ and transforms chaos into clean, explainable knowledge.
Onboarded into fast-moving teams with docs all over the place. - Wrote the same onboarding answers 6 times
Realized:Training should write itself
Built a basic mind map generator from Slack and Google Docs. - Used GPT to summarize internal processes.
- Duct-taped it into a quiz builder
Switched to a graph first curriculum engine. - Learned that RAG isn't enough we need proactive sequencing.
Created first version of our concept DAG and LectureNode builder.
Integrated real enterprise tools: Jira, Confluence, Zoom.
Auto-generated podcast episodes and visual slide explainers from internal docs.
Created personalized paths from messy Slack threads.
- Launching LearnChain with early enterprise design partners.
Preparing for YC Summer 2025
showing product-led growth, viral onboarding, and true "zero
to one" thinking.
Tech
SDE with previous start-up experience at TriZ AI, where I was part of the core team, started from scratch, got into pre-incubation and joined again post-incorporation. Proficient in full-stack development this very site being an example alongside multi-domain experience spanning AI, cloud infrastructure, and blockchain. Built my very own crypto coin as a project with multiple individual components. Contributed to Supersenseโs platform development. Passionate about the gaming and game development but currently focused on advancing as a software engineer. Skilled in scalable architecture, secure authentication, and AI-driven systems etc.. Pursuing Master's in CS at Illinois Tech.
Tech
Electrical Hardware & Systems Engineer with a minor in AI. Designed a provisionally patented security architecture for IoT communication. Founded TriZ AI (seed-stage), a privacy-first Smart-home platform. Built the Software architecture for SuperSense AI - a real-time pipeline connecting live enterprise databases with AI agents - scaled to 500+ API calls/hour. Masterโs in EE from UPenn.
We're on an exciting journey to change the way people learn. Here's what's coming next:
Stay tuned and join us on this incredible journey!