> whoami
& Backend Engineer
Third year CS student
> about_me.txt
I'm currently pursuing my Bachelor's degree in Computer Science with a focus on artificial intelligence, distributed systems, and databases.
When I'm not programming, you can find me reading research papers, learning something new, hiking mountains, watching anime, practicing calisthenics, or cycling (on a good day)
Focus Areas
Machine Learning & Deep Learning
LLMs, RAG Systems & Finetuning
System Design, APIs, & Relational Databases
> tech_stack.json
Python
Java
JavaScript/TypeScript
React
PyTorch
LangChain
PostgreSQL
MySQL
Django
FastAPI
Docker
Kubernetes (GKE)
AWS
GCP
> experience.log
AI Engineering Intern
Sendbird
Sep 2025 - Present•Vancouver, BC
- Incoming Fall 2025!
Python
Founding Engineer
Thirdslate
Apr 2025 - Nov 2025•Vancouver, BC
- AI & Backend
Python
Machine Learning Research Intern
University of British Columbia
Jan 2025 - Jul 2025•Vancouver, BC
- Computational neuroscience and Explanable AI research
Python
PyTorch
NumPy
Matplotlib
BMTK
Simulations
Synthetic Data
Software Engineering Intern
Ducem Technologies
May 2024 - Aug 2024•Remote
- HRMS, ESS
TypeScript
Angular
ASP.NET MVC
MySQL
> education.json
Bachelor of Science in Computer Science
University of British Columbia, Vancouver
Sep 2022 - May 2027 (Expected)
Relevant Coursework
Data Structures & Algorithms
Applied Machine Learning
Introduction to Relational Databases
Introduction to Software Engineering
Introduction to Artificial Intelligence
Activities & Leadership
UBC Open Robotics
Brock Commons Residence Association Tallwood President (2025-26)
UBC CSSS
> selected_projects/
Now: AI calisthenics coach to gamify skill progressions for beginners (Hack the North 2025)
Problem I aimed to solve: Noticed the fear of injury in beginners
Solution: Built a Next.js and Tailwind CSS frontend, a Python backend, and integrated a RAG pipeline with Gemini API to generate context-grounded coaching feedback and progression insights from pose-based form analysis
NextJS
Tailwind CSS
FastAPI
Ecocircle: a GenAI platform for sustainable trading (AWS Hackathon 3rd place)
Problem I aimed to solve: Noticed the rise of sustainability trends and built a platform for eco-conscious users to easily buy and sell eco-friendly products
Solution: Developed a web marketplace for sustainable commerce and upcycling. As the lead on the AI and AWS architecture, I was responsible for integrating GenAI & ML, engineering the backend architecture and deploying it across a scalable AWS infrastructure
Python
API Gateway
AWS Lambda
AWS Bedrock
DynamoDB
S3
Transformer From Scratch
Problem I aimed to solve: Wanted to learn how modern systems like ChatGPT work under the hood
Solution: Implemented the Transformer architecture from scratch introduced in the Attention Is All You Need paper, built using PyTorch without relying on high-level libraries
Python
PyTorch
NumPy
Pandas
Matplotlib
Conception
Problem I aimed to solve: To help new architects, students, or curious learners like me overcome the complexity of traditional architecture software
Solution: Created a desktop app that enables homeowners to seamlessly navigate through the home design process without the need for extensive technical knowledge
Java
Java Swing
JUnit Testing
Advanced OOPs
> contact.sh
I'm always open to discussing new opportunities, collaborating on interesting projects, or just having a chat about technology and innovation