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SUSTech
Software Engineer
June 29, 2026 – Present
hydro-yearbook-ocr-vlm
April 8, 2026 – Present
A repository for fine-tuning and evaluating vision-language models on hydrological yearbook OCR.
View Projecthydromodel-wiki
April 6, 2026 – Present
An LLM-maintained research wiki for hydrology modeling.
View ProjectPhysics-Encoded-Deep-Learning-for-Integrated-Modeling-of-Watershed-Hydrology-and-Reservoir
August 9, 2024 – April 1, 2025
This repository contains the PyTorch implementation of the DL-Res model, as proposed in our recent research work.
View Projectremote-sensing-homework
September 24, 2022 – September 26, 2022
homework code for sustech remote sensing graduated class
View Projectiterative-ensemble-smoother
July 8, 2022 – July 8, 2022
a simple demo on iterative ensemble smoother(ies) for inverse problem
View ProjectEGAT
December 1, 2021 – July 18, 2023
a pytorch implementation of Exploiting Edge Features in Graph Neural Networks.
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in academic/research-oriented machine learning and scientific computing, primarily using Python. While this demonstrates deep technical focus, the lack of diversity in project types (e.g., web development, backend services, mobile apps) and technologies might indicate a narrower scope of interest for a general 'Software Engineer' role. The single listed work experience as 'Software Engineer' at SUSTech with a future start date and no associated skills or description makes it difficult to assess alignment with typical industry software engineering practices. The projects are all personal, which limits insight into collaborative work or product development cycles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, communication, or problem-solving approaches in a team setting.