🚀 About Me
I'm a third-year Software Engineering student at McGill University, passionate about leveraging technology to solve complex problems. With strong skills in software engineering, machine learning, and real-time systems, I aim to build impactful, user-facing products and AI-driven solutions.
🎓 Academic Background
Currently pursuing my Bachelor’s in Software Engineering, I’ve completed courses from Data Structures & Algorithms to Model-Based Programming. My academic work is complemented by hands-on projects applying theory to real-world challenges.
💼 Professional Experience
Google — Software Engineering Intern | May 2025 – Aug 2025 | Seattle, WA
- Developed a real-time formula preview feature (Angular + Dart + backend RPCs), cutting validation latency from minutes to seconds.
- Built a generative AI tool converting natural language to Google Ads formulas with multi-part prompt engineering for higher LLM relevance.
- Implemented comprehensive testing and authored integration plans, ensuring production-grade reliability.
- Presented design documents and demos to 40+ engineers and PMs, influencing feature adoption and roadmap decisions.
Google — Associate Software Developer Intern | May 2024 – Aug 2024 | Waterloo, ON
- Created an open-source Google Chat SDK with generative AI capabilities (Vertex AI & Dialogflow CX).
- Automated app deployment across multiple Chat spaces using Node.js and Google Cloud Functions.
- Achieved 97% test coverage with JUnit, Jest, Mocha, and Sinon.
- Delivered presentations and design documents to senior engineers and managers.
Ericsson — Machine Learning Intern | Jan 2024 – May 2024 | Montréal, QC
- Led a Multi-Agent Modeling project, improving model accuracy by 16% using Mesa and Python agents.
- Integrated Azure for MLOps, reducing deployment times by 15% and enhancing efficiency.
University of Sherbrooke — Data Science Intern | May 2023 – Aug 2023 | Sherbrooke, QC
- Processed 300M+ JSON/CSV files to optimize medication plans using Python, Pandas, NumPy, and MATLAB.
- Built real-time algorithms and LSTM models in TensorFlow & Keras for physical activity pattern recognition.
🔍 Looking Forward
I aim to continue building scalable, user-facing products at the intersection of advanced technology and real-world impact. I thrive in high-impact, collaborative environments and enjoy projects that combine technical depth with tangible user outcomes.
Have a look at my personal website!
Programming Languages: Python, Java, C, JavaScript, TypeScript, Dart, HTML, Bash, R
Tools/Frameworks: Node.js, React.js, Angular, Express.js, MongoDB, Firebase, TensorFlow, Keras, Linux, Cucumber, Google Cloud Platform, Vertex AI, Dialogflow CX, Microsoft Azure, Elasticsearch, KQL, Git