Software developer and co-founder / CTO at Valiron. I build tools for AI agents and cross-platform applications, and contribute to Uno Platform as a core maintainer. Based in Montreal, Canada.
Experience
Valiron — Co-Founder & CTOJanuary 2026 - Present
Montreal, Canada
- Co-founded Valiron and lead its technical development, building tools for API providers to evaluate incoming AI agents and control access.
- Built the Valiron SDK for integrating agent trust and access decisions into applications.
Uno Platform — Software DeveloperJanuary 2024 - Present
Montreal, Canada
- Core maintainer of the open-source Uno Platform framework.
- Developed the Hot Design tool, a visual designer for cross-platform .NET applications (iOS, Android, macOS, Windows, WebAssembly, Linux) that transforms the running app into an interactive design surface, accessible from any IDE on any OS.
- Designed and implemented the complete UI, created the API’s and backend logic for a License Manager system - including license generation, dynamic trial handling, feature gating, and automated validity checks for free and premium tiers.
- Integrated telemetry across all Uno Platform tools for user behaviour tracking and analysis.
- Published official documentation and sample applications (like Chefs) to demonstrate Uno Platform features.
- Collaborated with cross-functional teams to ensure seamless integration of new features and bug fixes.
Uno Platform — Software Developer InternSeptember 2023 - December 2023
Montreal, Canada
- Returned to Uno Platform as a software developer intern before joining full-time in January 2024.
Microsoft — Software Developer InternMay 2023 - August 2023
Montreal, Canada
- Worked on conversational AI for Microsoft Healthcare, including end-to-end development of a GPT utterance generator.
- Built a system to automatically adjust filtering options based on user input files, and dynamically filter and sort the results.
- Created a Python-based automation tool to convert .xlsx files to .trsx, streamlining user downloads and data workflows.
- Optimized project performance by reducing the runtime by 35%.
Uno Platform — Software Developer InternJanuary 2023 - April 2023
Montreal, Canada
- Led the team of interns to build TubePlayer - a YouTube app rebuilt on Xamarin and optimized for performance and user experience.
- Developed app's video playback feature, including integration with the YouTube Data API to retrieve and display videos.
- Implemented the search functionality with filters and developed the loading, error, and empty search pages.
nventive — Mobile App Developer InternMay 2022 - August 2022
Montreal, Canada
- Contributed to the development of the MoreRewards cross-platform application using Xamarin.Forms (C# & XAML).
- Built key screens (Home, Offers, Map), incorporating real-time data displays and location-based functionality.
- Implemented custom animations and transitions to flex containers and forms.
Salle Privée — Full Stack Developer InternJanuary 2022 - April 2022
Montreal, Canada
- Built a localized cross-platform Web application for leasing event spaces by using the MERNG Stack (MongoDB, Express, ReactJS, NodeJS and GraphQL) and React-Native.
- Developed the UI, built and integrated GraphQL API’s and NodeJS microservices.
- Maintained and improved the DevOps pipelines to build and deploy the applications to AWS Cloud.
Projects
- AgentTrials — A free-trial marketplace for agents, designed to reduce repeat credit claims by linking trial eligibility to a human and their agent.
- Vybe — A social prediction market.
- A2A Trust Gate — Checks AI agent reputation before delegating tasks.
- ClankRank Tournament — A basketball-style bracket tournament for AI agents, scored on trust and reputation.
Earlier projects
Emotion and Sentiment Classifier — Recognizing emotions and sentiment in text with machine learning.
Machine learning-based tool that analyzes and categorizes emotions and sentiments. It identifies various emotional states like happiness or sadness from textual data, useful in applications such as social media analysis and customer feedback.
Built with Python, NLP.
Web Crawler — Exploring websites with k-means clustering and sentiment analysis.
This program crawls a website and analyzes the text of the pages it visits using k-means clustering and sentiment analysis.
Built with Python.
Spotify Explicitness Predictor — Predicting whether a Spotify song is explicit using machine learning.
Application for predicting the explicitness of songs on Spotify. The code uses machine learning algorithms to classify songs as either explicit or non-explicit.
Built with Python, NLP.
Rush Hour Game — Solving the classic sliding-block puzzle with search algorithms.
This application implements various search algorithms to solve the Rush Hour game.
Built with Python, NLP.
HFESTS — A health-status tracking system for healthcare employees.
The Health Facility Employee Status Tracking System (HFESTS) is a database system developed to help healthcare facilities keep track of their employees’ health status during the COVID-19 pandemic.
Built with PHP, HTML, SQL, CSS.
Dropout in Neural Networks — Exploring dropout as a way to prevent overfitting.
This program implements dropout in neural networks on multiple datasets. Dropout is a regularization technique that can prevent overfitting in neural networks by randomly dropping out some neurons during training.
Built with Python.
Eternity — A scientific calculator for complex special functions.
ETERNITY is a scientific calculator that can compute certain complex special functions.
Built with Python.
BeastFit — A full-stack website for a Montreal fitness company.
A full stack website built as a concept for a montreal-based fitness company.
Built with PHP, JavaScript, HTML, SQL, CSS.
More of my work on GitHub.
Highlights
- Led a team of 35 to organize ConUHacks VII, bringing together 900+ participants and securing over $100,000 in sponsorships.
- APINowFun challenge winner and top-10 finisher at YC’s Agentic Payments Hackathon.