About
I am a software engineer with over 3 years of experience building scalable backend systems in production. I also have a Masters in Data Science from UBC. I am very passionate about distributed systems, event-driven architectures, and performance optimization across cloud-native environments. I realy love using my technical skills to tackle real-world challenges, whether it's saving time or simplifying everyday tasks. I think my biggest strength is that I really thrive under pressure and love working in fast paced work environments.
Work Experience
Skills
Check out my latest work

TransSync
TransSync is a cloud-native application that helps commuters of Vancouver track public buses in real time using live GPS data. It leverages Kafka (on Confluent Cloud), Spring Boot, and GTFS dataset (Translink) to show upcoming bus arrival times and distances based on user input. The project demonstrates low-latency data streaming, microservices, and real-world event processing to solve the common problem of uncertainty in public transit.

Amplify
We built Amplify (as part of Google's ADK Hackathon), an AI-powered content creation platform built for small businesses and creators. It uses multi-agent workflows to analyze trends, generate content, and automate marketing - all in one place.

Patient Management System
Built a microservices-based patient management system using Spring Boot, Kafka, gRPC, and an API Gateway. Deployed with Docker on Railway, it demonstrates event-driven communication between services like patient, billing, and analytics, while the API Gateway orchestrates requests and handles service routing.

pysorting: A Python Package for Sorting Algorithms
Developed a Python package that offers an interactive platform to explore and understand popular sorting algorithms. Designed for students and educators, it features customizable implementations of key sorting algorithms, making it an excellent tool for both learning and teaching sorting concepts.
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Agent Development Kit Hackathon with Google Cloud
Vancouver, BC
We built Amplify (as part of Google's ADK Hackathon), an AI-powered content creation platform built for small businesses and creators. It uses multi-agent workflows to analyze trends, generate content, and automate marketing - all in one place. - W
WiDS Case Competition
Vancouver, BC
Developed a regression model in Python using XGBoost to predict monthly revenue for Airbnb listings by leveraging feature engineering, TF-IDF text processing, and hyperparameter tuning, achieving 1st place in the private kaggle competition.
Get in Touch
Want to chat? Just shoot me a dm on Linkedin or email me and I'll respond whenever I can.