Albert

Data Scientist

https://www.opentalent.in/albert-1

HangzhouMember since June 22, 2026

Key Strengths

Extensive personal project experience in Deep Learning and Medical Image Analysis, indicating strong self-driven learning and practical application.
Demonstrated proficiency in Python for various machine learning and deep learning tasks.
Experience with LLMs (Ling, mamba-tuner, Chinese-Mamba) and neural network visualization (lucid.pytorch) aligns with advanced Data Scientist roles.
Projects like 'Sequential-patch-based-segmentation' and 'MedicalVision' show specialized knowledge in a high-demand domain.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong inclination towards open-source contributions and personal exploration in advanced AI/ML topics. This suggests a proactive, curious, and self-motivated individual who could thrive in a research-oriented or innovative team culture. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Assessing your cultural and operational fit

Projects

Ling

February 19, 2025 – May 14, 2025

Ling is a MoE LLM provided and open-sourced by InclusionAI.

View Project

mamba-tuner

December 23, 2023 – December 23, 2023

Easy-to-use fine-tuning framework for mamba-architecture large model, supporting SFT, PPO,DPO

View Project

Chinese-Mamba

December 21, 2023 – December 21, 2023

Chinese-Mamba — repository

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what_is_your_tag_schema

November 6, 2019 – June 18, 2019

(1)The tag schema of data for sequence tagging task such as NER, Chunking, POS et., (2)convert IOB, BIO, IOBES, (3)analyse conll data

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Evaluation-In-Pascal-VOC

August 1, 2018 – May 31, 2018

given a pascal voc detection result, compute mAP

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DeepLearningInterview

July 2, 2018 – September 4, 2018

A collection of problems in deep learning interviews

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MedicalVision

April 14, 2018 – May 29, 2018

A pytorch-based deep learning toolkit for medical image analysis

View Project

lucid.pytorch

January 2, 2018 – February 2, 2018

A neural network visualization toolkit for pytorch

View Project

Sequential-patch-based-segmentation

November 21, 2017 – January 10, 2018

Sequential patch-based segmentation for medical image

View Project

sunalbert.github.io

February 7, 2017 – April 13, 2018

Blog

View Project

Key Strengths

Extensive personal project experience in Deep Learning and Medical Image Analysis, indicating strong self-driven learning and practical application.
Demonstrated proficiency in Python for various machine learning and deep learning tasks.
Experience with LLMs (Ling, mamba-tuner, Chinese-Mamba) and neural network visualization (lucid.pytorch) aligns with advanced Data Scientist roles.
Projects like 'Sequential-patch-based-segmentation' and 'MedicalVision' show specialized knowledge in a high-demand domain.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Albert

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit