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Hi, I'm

Dinesh Chhantyal

Building Intelligent Software

Co Founder @ alfred_ • Agentic AI • ICPC State Champion • Full Stack Developer

I build AI systems that do the work, not just help you do it faster. As Co Founder of alfred_, I'm creating an AI executive assistant that handles admin autonomously for busy professionals. With 5+ years in software engineering, applied ML, and product leadership, I deliver reliable systems with real impact.

About Me

Dinesh Chhantyal

I co-founded alfred_, an AI executive assistant that autonomously handles admin work for freelancers and solopreneurs. I'm also studying Computer Science with a Mathematics minor at the University of Louisiana Monroe, where I work as a Software Developer building data pipelines and research tooling.

Most of my time goes into agentic AI and performant web platforms. At alfred_, I built a LangGraph orchestration pipeline that triages, drafts, and executes email actions on its own, saving roughly 80% of manual inbox time. I also collaborate with Dr. Jhim Shim on algorithmic number theory, exploring Meissel Lehmer methods for counting primes efficiently. At the Simons Foundation, I processed 1.2 TB of BlastoSPIM embryo microscopy and trained a custom 3D CNN on their energy efficient supercomputer to classify nucleus states automatically.

I care about building things that compound: faster deploys lead to more experimentation, structured datasets unlock better models, and clear tooling widens access for everyone. If you want to collaborate on agentic AI, applied ML, or product engineering, I would love to connect.

Now

  • Building alfred_, an AI executive assistant SaaS
  • Designing multi-agent orchestration with LangGraph
  • Exploring distributed inference for bioimaging
  • Refining number theory research manuscript

By the Numbers

100+Issues Resolved
1.2 TBData Processed
250+Community Built
80%Inbox Automation

Skills

languages
  • TypeScript / JavaScript
  • Python
  • Java
web platforms
  • Next.js
  • React
  • Nest.js
  • Node.js
  • Flutter
ai ml
  • TensorFlow
  • Scikit-learn
  • Prime Counting Methods
  • Data Modeling
  • PyTorch
  • LangChain
  • LangGraph
  • Gemini API
  • Ollama
  • OpenAI API
  • RAG Pipelines
  • Vector Stores (FAISS/Pinecone)
data infra
  • PostgreSQL & MongoDB
  • Supabase
  • AWS
  • Google Cloud
  • RESTful APIs
  • CI/CD (GitHub & GitLab)
math cs
  • Algorithms & Data Structures
  • Number Theory
  • Linear Algebra
  • Statistics
  • Discrete Structures
Achievements
Student Advertising Competition (Best Marketing Material, Bronze)Data Parallelism: How to Train Deep Learning Models on Multiple GPUsBen Katz Memorial Scholarship in BusinessView all →

Where I've Worked

Co-Founder & Technical Lead @ alfred_
2025 - PresentWebsite
  • Built an AI executive assistant from concept to launch with a 4-stage LangGraph pipeline that autonomously triages, drafts, and executes email actions across Gmail and Outlook, cutting manual inbox work by an estimated 80%

  • Unified 4 email and calendar providers via OAuth 2.0 into a single orchestration layer with a cross-widget dashboard that auto-generates tasks from emails and time blocks from todos

Software Engineering Intern @ Simons Foundation
Summer 2025Website
Lead (President) @ GDG ULM (Google campus chapter)
Aug 2024 – May 2025Website
Webmaster @ IEEE Shreveport Section
2024 - PresentWebsite
Software Developer @ University of Louisiana at Monroe
January 2023 - PresentWebsite
Software Developer @ Clamphook
October 2022 - May 2023Website
Technical Support Staff @ Baba Computer IT Solution
January 2022 - March 2022Website
Frontend Developer @ Padhao Academy
October 2021 - December 2021Website
EPCM Content Creator and Physics Tutor @ Clamphook Academy
May 2021 - July 2022Website

Blogs & Tutorials

Other Noteworthy Projects

View Complete List of Projects/Codes
Folder
CheerPal

CheerPal — Spearheaded a team of 6 members in developing a reminder application. Integrated Firebase Cloud Messaging for real-time notifications and employed machine learning models for personalized product recommendations from Amazon and Walmart, utilizing content-based filtering, K-means clustering, and decision trees.

  • Next.js
  • TypeScript
  • Payment Gateway
  • Vercel
  • Flutter
  • Firebase Cloud Messaging
  • Machine Learning
  • Content-based Filtering
  • K-means Clustering
  • Decision Trees
Folder
Collatz Conjecture

Collatz Conjecture is a simple Python program that I created to test the Collatz Conjecture. The program is designed to test the conjecture for a given range of numbers. The program is created using Python and PiP. The program is a simple implementation of the Collatz Conjecture.

  • Python
  • PiP
  • Dynamic Programming
Folder
Area Under Curve: Riemann Sum

Area Under Curve: Riemann Sum is a Python program that I created to calculate the area under a curve using the Riemann Sum method. This program solves the area under a curve using three methods: left, right, and midpoint.

  • Python
  • NumPy
  • Matplotlib
  • LaTeX
Folder
Covid-19 Tracker

This is a Covid-19 tracker that I created using React and Firebase Hosting. The tracker uses Disease.sh API to fetch Covid-19 data. The tracker is hosted on Firebase Hosting. The tracker uses Chart.js to display charts and Leaflet to display maps.

  • React
  • Firebase Hosting
  • Material UI
  • Disease.sh API
  • Chart.js
  • Leaflet
Folder
Electronic Voting System

The Election System is created using the C programming language. It is a group project that I did with my friends. The project is a simple electronic voting system that allows users to vote for their candidates. The project is part of the coursework for the course C Programming at IOE, Pulchowk Campus.

  • C Programming
  • Git
  • GitHub
  • Group Project
Folder
Rookie: Discord Bot for Class Schedule Management

Rookie is a Discord bot developed with Node.js and Discord.js to assist students in managing their class schedules. Implemented during the COVID-19 pandemic, it increased schedule adherence by 50% and improved homework submissions by 30% in our classroom Discord.

  • JavaScript
  • Node.js
  • Discord.js
Movie Flower Garden Visualization

An interactive data visualization project that represents movies as unique flowers in a garden. Each flower's characteristics (petals, size, color, shape) encode different aspects of movie data like ratings, popularity, genre, and runtime. Built with D3.js, the visualization allows users to explore films through an engaging, intuitive, and aesthetically pleasing interface.

  • D3.js
  • JavaScript
  • IMDb Dataset
  • SVG
Google Clone

This is a Google clone that I created using Next.js and Tailwind CSS. The clone uses Google Custom Search API to fetch search results from Google. The clone is hosted on Vercel.

  • Next.js
  • Tailwind CSS
  • Google Custom Search API
  • Vercel
Folder
Clamphook Academy

Clamphook Academy is an online learning platform that we created to facilitate online learning. The platform consists of a web application and a mobile application. The web application consists of all the features that are required for online learning including live classes, recorded classes, assignments, quizzes, and more.

  • Next.js
  • TypeScript
  • Payment Gateway
  • Redux
  • JWT
  • ZoomSDK
  • Vercel
  • Flutter

What's Next?

Get In Touch

My inbox is always open. Whether you have a question or just want to say hello, I'll try my best to get back to you! Feel free to mail me about any relevant job updates.