Binaya Dhakal
Lehi, Utah — Founder's Notebook, 2026

Binaya Dhakal.

Founder & CEO, Yanib AI Software Engineer at Fluid Published Researcher

I build AI-powered developer tools and production-grade ML systems. I founded Yanib to give dev teams a better way to ship release notes, lead the Themes & AI team at Fluid, and publish research on biomedical AI at the University of New Haven.

Visit Yanib Get in touch
§ 01 — Currently
Day job

Leading Themes & AI at Fluid

AI Software Engineer driving a modern AI-powered theme engine for a fintech platform. Ruby on Rails, TypeScript, React — and the AI layer stitching them together.

May 2025 — Present · Lehi, UT
Company

Founder & CEO of Yanib

An AI-powered release-notes platform for dev teams. Turns commits and PRs into polished changelogs, publishes everywhere, and gives engineers a public shipping record that actually reflects their work.

Founded 2026
Research

Published in the Journal of Microbiological Methods

First-author paper on multi-compartment microbiome data integration with deep autoencoders for mortality prediction. Research Assistant at the University of New Haven under Prof. Khaled Sayed.

Aug 2024 — Present
§ 02 — Yanib

The company I'm building.

Yanib is an AI-powered release-notes platform for dev teams and individual engineers — the missing piece between "I shipped something" and "the world knows about it."

Connect a GitHub or GitLab repo, tag a release, and Yanib generates a clean changelog from your commits and PRs using Claude. A human reviews it, then Yanib publishes everywhere at once — GitHub Releases, a public changelog page, Slack, Discord, email subscribers, and an embeddable widget.

For individuals, Yanib goes further: developer profile cards for GitHub READMEs, shipping-stats badges, year-in-review pages, and embeddable feeds for your portfolio. The widgets on this page are Yanib's own — rendered live from my public shipping history.

7
Embeddable widgets
2
Providers (GH / GL)
13
Languages supported
1-click
Publish to all channels
Try Yanib My public shipping log
§ 03 — Work

Experience in the field.

May 2025 — Present

AI Software Engineer

Fluid · Full-time · On-site
Lehi, Utah, USA
  • Leading the Themes & AI team, driving development of a modern AI-powered theme-building engine for a fintech/MLM platform.
  • Architecting and building full-stack features across Ruby on Rails, TypeScript, and React in the core product.
  • Overseeing AI integration strategy and guiding the team in shipping intelligent, scalable features to platform users.
Aug 2024 — Present

Research Assistant

University of New Haven · Part-time · On-site
West Haven, Connecticut, USA
Supervisor: Prof. Khaled Sayed
  • Researching multi-compartment microbiome data integration and its downstream applications in mortality prediction.
  • Developed a deep-learning autoencoder combining microbiome and clinical data — published in the Journal of Microbiological Methods.
  • Applying NLP and bioinformatics techniques to large-scale healthcare datasets.
May 2021 — Jul 2024

Senior Software Engineer

Danphe Software Labs · Full-time
Kathmandu, Nepal
  • Architected and shipped enterprise systems handling millions of records for MLM and workplace-analytics platforms.
  • Built cybersecurity threat-detection using SVM, CNN, and RNN ensembles to identify and mitigate attack patterns.
  • Integrated IBM Watson NLP for text analysis and sentiment-driven insights inside HR tooling.
  • Cross-platform mobile apps with React Native + Redux; web with React + TypeScript; backends on Rails & Node with MySQL / Postgres.
Jan 2022 — Jan 2024

ML Engineer (Freelance)

Upwork · Remote
Global
  • GPT-3 based sentiment-analysis pipeline — improved client's customer-satisfaction metric by 20%.
  • Deep Q-Learning for autonomous systems — 30% gain in robotic navigation efficiency.
  • Neuroscience-inspired interpretable predictive models for healthcare outcomes — 25% forecast-accuracy boost.
§ 04 — Research

Publications & writing.

Journal — 2024 First Author

Integrating multi-compartment microbiome data with clinical parameters enhances mortality prediction using autoencoder

A deep-learning approach combining multi-compartment microbiome profiles with structured clinical data via an autoencoder, significantly improving downstream mortality prediction. Published in the Journal of Microbiological Methods.

Co-authors: Prof. Khaled Sayed · Lakshmi Sai Kishore Savarapu Read on ScienceDirect ↗
Paper

Effects of Sudarshan Kriya Yoga (SKY) on Stress and Self-Esteem of Medical Doctors

Collaborated with neuro-medical researchers; sentiment analysis applied to physician self-reports to analyze SKY breathing's impact on stress and self-esteem.

DOI: 10.4103/0973-6131.105935
§ 05 — Education

Academic record.

Aug 2024 — Jan 2026

Master of Science in Data Science

University of New Haven
West Haven, Connecticut, USA
Artificial Intelligence Machine Learning Deep Learning NLP Bioinformatics Distributed Data Engineering
Dec 2016 — Jan 2021

Bachelor of Engineering in Computer Engineering

Western Regional Campus, Tribhuvan University
Pokhara, Nepal
3× Merit-Based Scholarship Recipient
AI Data Structures & Algorithms Machine Learning Software Engineering Speech & Language Processing
§ 06 — Toolkit

Tools of the trade.

Languages

  • Python · R · Ruby
  • JavaScript · TypeScript · PHP
  • C · C++ · Java

AI & ML

  • PyTorch · TensorFlow
  • Scikit-Learn · OpenCV · NLTK
  • Hugging Face · LLMs
  • Deep Q-Learning · DETR · CNN · RNN

Web & Mobile

  • React · React Native · Redux
  • Next.js · Node.js
  • Ruby on Rails · Django · Flask

Data & Databases

  • PostgreSQL · MySQL
  • MongoDB

Cloud & DevOps

  • AWS (Lambda · CloudFront)
  • GCP · Heroku · Firebase
  • CDN · Load Balancing
  • Docker · Linux · Bash · Git

Other

  • Ethereum / Blockchain
  • Jira · LaTeX
  • App Store & Play Store deployment
  • In-App Purchases
§ 07 — Recognition

Honors, awards & certifications.

Honors & Awards

2024 — 2026
Fully Funded Master's Degree
Research Assistantship at the University of New Haven covering full tuition for the M.S. in Data Science.
2016 — 2021
Tribhuvan University Merit Scholarship (3×)
Highest percentage in Computer Engineering cohort across 3 of 7 semesters.
2018 — Present
National Rubik's Cube Champion
Regional 1st · National 2nd — World Cube Association (WCA).
Nov 2018
CTF (Capture The Flag) Winner
Winning team, organized by Western Regional Campus, IOE.
2014 — 2016
Student of the Year
Highest percentage in the history of Notre-Dame Higher Secondary School — Physics, Mathematics & Chemistry.

Recent Certifications

  • Oct 2025 AI Agents for Product Leaders — LinkedIn Learning
  • Sep 2025 Understanding Generative AI in Cloud Computing — LinkedIn
  • Sep 2025 Generative AI for Business Leaders — LinkedIn
  • Apr 2025 MLOps Essentials: Model Deployment & Monitoring — LinkedIn
  • Apr 2025 MLOps Essentials: Model Development & Integration — LinkedIn
  • Apr 2025 DevOps for Data Scientists — LinkedIn
  • Apr 2025 Amazon Web Services: Data Services — LinkedIn
  • Additional certifications available on LinkedIn ↗
§ 08 — Contact

Let's build something good..

I'm always up for a conversation — about hiring, collaborating on AI/ML research, integrating Yanib at your company, or sharing notes on shipping software that works.