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bupt
Data Scientist
June 29, 2026 – Present
physical-nlo-eval
May 22, 2026 – Present
A modular, end-to-end coherent optical transmission simulation framework built on PyNLO.
View Projectqwen_vc
April 1, 2026 – Present
A voice conversion model based on Qwen3-TTS-Tokenizer-12Hz
View ProjectOptiNetSim-backend
October 7, 2024 – June 13, 2025
A Python-based optical network simulation platform that leverages GNPY for physical layer simulations.
View Projectpacket-analysis
July 11, 2024 – May 13, 2025
An anomaly analysis backend based on packets captured in production and replay environments.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and highly technical, focusing on niche areas like optical networking, signal processing, and low-level systems (Rust, C++). While demonstrating strong technical curiosity and initiative, the breadth of projects directly aligning with typical enterprise Data Scientist roles (e.g., A/B testing, business intelligence, large-scale data processing, MLOps) is limited. The single listed experience as 'Data Scientist' at 'bupt' is current but lacks details, making it difficult to assess real-world team collaboration or project impact. The diverse technology stack (Rust, Dart, C++, Python) indicates adaptability but also a potential lack of deep specialization in standard data science ecosystems.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.