Co-founder · AI product engineer
I build AI products and developer tools.
Co-founder of Yanib, AI Software Engineer at Fluid, creator of private AI and mobile products, and first-author machine-learning researcher.
Flagship · Co-founder
NVIDIA Inception
The shipping layer for software teams.
AI-drafted release notes straight from your commits — QA-reviewed against the actual code, then published everywhere at once: GitHub, Slack, Discord, email. Public shipping profiles that make developer work visible. Live since March 2026.
Creator
Save it. Share it. Open it together.
Collaborative capsules of photos, places, notes and songs — built with friends, sealed until reveal day.
iOS · Android capsify.app
Creator
A second brain that never leaves your phone.
Private, offline, on-device AI — chat grounded in your own notes. No account, no servers, no tracking.
iOS solmari.app
Creator
Train smarter, not just faster.
An AI solve coach for speedcubers — record a solve and get phase splits, a pause map and coaching feedback, on a WCA-compliant timer.
2026 — Present
Live since March 2026 · NVIDIA Inception Program · alongside shipping Capsify and Solmari.
May 2025 — Present
One of the first engineers on Fluid since 2021, when it was a client project at Danphe and the CTO was the only person writing code. Joined the company directly in 2025.
Aug 2024 — Jan 2026 · Graduated
Research Assistant · Provost's Scholarship (75%, paid stipend) · deep learning on microbiome data — autoencoders & VAEs for mortality prediction, published as first author.
May 2021 — May 2024
Full-stack & applied ML — cyber-attack detection with SVM, CNN, RNN & NLP. Fluid was a client project here; I was one of the first engineers on it.
Dec 2016 — Jan 2021
Tribhuvan University Merit Scholarship ×3 · winner, Capture the Flag security competition · national #2 Rubik's cube speedsolver (WCA).
First author · Peer-reviewed
Journal of Microbiological Methods · Vol. 238, 107267 · November 2025
Deep representation learning across multiple body-site microbiome compartments, fused with clinical parameters, to predict patient mortality — the core of my research as a Research Assistant at the University of New Haven.
Co-author · Annals of Medicine and Surgery · sentiment analysis with neuro-medical researchers.
Deny-by-default security gate for AI agent tool calls — one JSON policy, enforced in JavaScript and Python with a shared audit schema. Launch story
One interface for every on-device LLM runtime in React Native — Apple Foundation Models, ExecuTorch and Cactus. Extracted from Solmari's production inference layer.
Vitest harness and matchers for MCP servers — in-memory transport, real protocol path, millisecond tests.
Fit chat history into any model's context window — sliding-window packing with running summaries. Zero dependencies, shipped for JavaScript and Python.
Record/replay cache middleware for the Vercel AI SDK — free dev iterations, offline deterministic tests.
Selected packages across npm and PyPI — all MIT-licensed, typed, and tested in CI. github.com/binaydhakal
For product collaborations, open-source work, and conversations about applied AI.