Long Zhuang

Data Scientist

https://talent.gravityer.com/long-zhuang

Member since June 27, 2026

Key Strengths

Extensive personal project experience in Python for various AI/ML applications.
Demonstrated interest in diverse machine learning domains including computer vision (image colorization, semantic segmentation), natural language processing (RAG assistant), and time series prediction (bike availability).
Experience with key data science tools and frameworks such as Jupyter Notebook, LangChain, LangGraph, and Chroma.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards independent learning and exploration in various AI/ML subfields. The diversity of personal projects suggests a proactive and self-driven individual. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration and cultural alignment within a structured team environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test scores were provided, and no work experience is listed.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

PageSense

March 24, 2026 – Present

PageSense — GitHub repository

View Project

feature_detection_point_cloud_registration

March 2, 2026 – Present

feature_detection_point_cloud_registration — GitHub repository

View Project

Conditioned-Flow-Match-Generation

March 1, 2026 – Present

Conditioned-Flow-Match-Generation — GitHub repository

View Project

TripPlanner

February 23, 2026 – Present

AI Agent

View Project

rag_faq_langchain_project

October 22, 2025 – Present

RAG assistant over a customer-support FAQ dataset. The system uses LangChain for prompts/chains and LangGraph to orchestrate a retrieve-grade-generate flow, backed by Chroma for semantic search and a Streamlit UI.

View Project

TripExpenseAssistant

March 12, 2025 – April 7, 2025

TripExpenseAssistant — GitHub repository

View Project

HoopScout

November 10, 2024 – December 10, 2024

HoopScout — GitHub repository

View Project

GNN_LSTM_for_Bike_Availability_Prediction

August 21, 2024 – August 21, 2024

GNN_LSTM_for_Bike_Availability_Prediction — GitHub repository

View Project

Unet_Image_Colorization

August 21, 2024 – March 18, 2025

Unet_Image_Colorization — GitHub repository

View Project

semantic_segmentation_project

August 21, 2024 – December 9, 2025

semantic_segmentation_project — GitHub repository

View Project

Key Strengths

Extensive personal project experience in Python for various AI/ML applications.
Demonstrated interest in diverse machine learning domains including computer vision (image colorization, semantic segmentation), natural language processing (RAG assistant), and time series prediction (bike availability).
Experience with key data science tools and frameworks such as Jupyter Notebook, LangChain, LangGraph, and Chroma.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test scores were provided, and no work experience is listed.

Long Zhuang

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit