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About Me

  • Columbia University
    B.S in Computer Science (Graduation Year: 2026)
  • Middlebury College
    B.A in Mathematics and Computer Science (Graduation Year: 2025)
  • Software Engineer Intern (Ongoing)
    One Sip, LLC (Startup)

    Developing the backend server infrastructure using Django, deploying database using MongoDB, implementing core functonalities for the MVP

  • Project Assistant
    Middlebury College

    Guided students through their independent senior capstone projects

  • Teaching Assistant
    Department of Computer Science, Middlebury College

    Graded assignments and tutored for courses Data Structures and Machine Learning

  • Product Engineer Intern
    Huatai Securities

    Real-time 3D human body motion capture with monocular camera

  • Hybrid AI for Drug Discovery (Ongoing)
    Fall 2024

    Research on domain-specific Large Language Models and applications of Graph Neural Networks on knowledge graphs and ontology

  • An active Reinforcement Learning from Human Feedback (RLHF) Framework for object detection and segmentation
    Summer 2024

    Designed a self-supervised training pipeline for the Mask R-CNN model, integrated user reinforcement process to engage users in validating correct detections and removing false positives during training

  • Cross-domain transfer network for music recommendation
    Summer 2022
  • Programming Languages: Python, Java, C/C++, SQL, MATLAB, R
  • Databases: MongoDB, PostgreSQL
  • Frameworks:PyTorch, Tensorflow, Git, Django, Flask
  • Cloud Platforms:AWS, GCP

Projects

sports-review-app

Sports Review App

A Flask-based web application for searching and reviewing sports activities

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smart-calendar-chatbot

Smart Calendar Chatbot

A smart chatbot to help college students balance study and life using AI

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object-tracking

Object Detection & Tracking in Frequency Domain

An innovative approach to track high-frequency moving objects using Fourier Transform, enabling scale-invariant and rotation-invariant tracking.

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hgcn

Predicting Phylogenetic Trees Using HGCN

Leveraged hyperbolic geometry and graph convolutional neural networks to predict the hierarchical structure of phylogenetic trees.

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foram-img

Self-supervised MaskRCNN for Porosity Detection PyTorch

Implementation of a self-supervised training pipeline for porosity detection using Mask R-CNN in PyTorch.

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ml-blog-post

Machine Learning Blog Post

Implementation of supervised/unsupervised machine learning algorithms and deep neural networks.

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When I'm not coding, I enjoy...

Baking

I earned an Advanced Baking Diploma at Le Cordon Bleu and love experimenting with new recipes.

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Photography

Capturing moments and telling stories through images is my way of sharing my perspective.

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Travelling

I enjoy exploring new cultures, tasting different cuisines, and learning through experiences.

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