harryIT

Frontend Developer

https://talent.gravityer.com/harryit

Being interested in machine learning, big data, NLP, recsys and fancy web techs such as nodejs, reactjs......

Member since June 25, 2026

Key Strengths

Exposure to various programming languages (Python, Java, C++, HTML, CSS, JavaScript, PHP).
Experience with diverse academic projects including machine learning, data mining, big data, and compilers.
Demonstrated ability to work on personal projects, indicating self-motivation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project history shows a strong academic background with diverse technical interests, including machine learning, big data, and compilers. While this demonstrates a broad technical curiosity, the target role is 'Frontend Developer'. The projects listed do not strongly align with modern frontend development frameworks or practices (e.g., React, Angular, Vue, advanced CSS frameworks, build tools). This suggests a potential mismatch in specific domain focus, though the underlying technical aptitude could be transferable. The lack of detailed project descriptions makes it difficult to fully assess the depth of involvement or specific contributions.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

just_test

February 1, 2018 – February 1, 2018

just_test — GitHub repository

View Project

machine-learning-practice

June 17, 2017 – July 2, 2017

machine-learning-practice — GitHub repository

View Project

NER-UNSW_Data_Mining

November 20, 2016 – November 20, 2016

NER-UNSW_Data_Mining — GitHub repository

View Project

Rel_Extraction-UNSW_InfoRetrieval_and_Search

November 20, 2016 – November 23, 2016

Rel_Extraction-UNSW_InfoRetrieval_and_Search — GitHub repository

View Project

Pool_Tracking-UNSW_Computer_Vision

November 20, 2016 – November 20, 2016

Pool_Tracking-UNSW_Computer_Vision — GitHub repository

View Project

Dijkstra_on_Hadoop-UNSW_Big_Data

November 20, 2016 – November 20, 2016

Dijkstra_on_Hadoop-UNSW_Big_Data — GitHub repository

View Project

Cplusplus_Exer-UNSW_Advanced_Cplusplus

November 20, 2016 – November 20, 2016

Cplusplus_Exer-UNSW_Advanced_Cplusplus — GitHub repository

View Project

Recommender_Sys-UNSW_Machine_Learning

November 20, 2016 – November 20, 2016

Recommender_Sys-UNSW_Machine_Learning — GitHub repository

View Project

VC_Compiler-UNSW_Compiler

November 20, 2016 – November 20, 2016

VC_Compiler-UNSW_Compiler — GitHub repository

View Project

Multiblog

August 14, 2015 – August 24, 2015

Multiblog — GitHub repository

View Project

Key Strengths

Exposure to various programming languages (Python, Java, C++, HTML, CSS, JavaScript, PHP).
Experience with diverse academic projects including machine learning, data mining, big data, and compilers.
Demonstrated ability to work on personal projects, indicating self-motivation.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

harryIT

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit