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Harry
Nantes, France
Masters' student specialized in Natural Language Processing with proficient skills in advanced statistics, optimization and combinatorics, C and C++, Keras, Tensorflow and PyTorch. Aiming to work with an organization where I can harness my skills to the fullest and further the objectives of the company.
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
92.4
CodersRank Rank
Top 6%
Based on:
16 eventsTop 100
C++
Developer
France
Top 100
Java
Developer
France
Highest experience points: 0 points,
0 activities in the last year
C++
19.6
exp.
Java
32.4
exp.
Assembly
2.4
exp.
Jupyter Notebook
21.9
exp.
Python
3.7
exp.
List your work history, including any contracts or internships
Groupe Sigma Internship
Feb 2021 - Jul 2021 (5 months)
Full-stack Developer
Conception of the new application for automating patches with following functionalities:
- Communication with Microsoft Sharepoint using Sharepoint Rest API
- Communication with HP Quality Center using Rest API
- Communication with internal servers using FTP / SSH
- Creating a visual file navigator connected to the backend
Frameworks used:
- Spring Boot
- PostgreSQL
- Angular 11
- Communication with Microsoft Sharepoint using Sharepoint Rest API
- Communication with HP Quality Center using Rest API
- Communication with internal servers using FTP / SSH
- Creating a visual file navigator connected to the backend
Frameworks used:
- Spring Boot
- PostgreSQL
- Angular 11
Université de Nantes Internship
7 months
Natural Language Processing Engineer
Oct 2020 - Jan 2021 (3 months)
Relation extraction in the BB 2019 corpus in scientific texts. Using deep neural networks, the objective was to find relations of Gene-Disease in scientific texts. The model was based on BERT and I used PyTorch for the implementation. The F1 score was 98.8% which exceeded the current state of the art.
https://github.com/hushee69/biobert-relation-extraction
https://github.com/hushee69/biobert-relation-extraction
Research Project
Jan 2020 - May 2020 (4 months)
The project entailed comparing different types of neural networks (Feed Forward Neural Networks, Long Short Term Memory Networks, ..) to see which work best on Natural Language Processing.
Technologies used:
- Python
- Keras
- PyTorch
Technologies used:
- Python
- Keras
- PyTorch
Alliance Française de Nairobi Internship
May 2014 - Dec 2014 (7 months)
Web Developer
Creating and developing websites. Created website for Alliance Francaise de Kenya(see link below).
http://alliancefrnairobi.org/
Computer security consulting and systems security administration. Improving the security of firms' systems.
http://alliancefrnairobi.org/
Computer security consulting and systems security administration. Improving the security of firms' systems.