tqa236
Anh Trinh
Paris, France

I'm looking for a challenging and interesting problem to solve. My goal is to be a unicorn, a "Jack of all trades, master of all". I prioritize the breadth of knowledge and I'm ready to go deep if necessary. I like to explore the uncharted water and push myself beyond the limit. I love solving new problems and automating old solutions.

CodersRank Score

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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.

583.1
CodersRank Rank
Top 2%
Based on:
Stackoverflow 8 events
Mid Developer
Python
Python
Top 50
Python
Python
Developer
France
Top 10
Shell
Shell
Developer
France
Highest experience points: 0 points,

0 activities in the last year

List your work history, including any contracts or internships
Saegus
Jan 2020 - Jan 2021 (1 year)
Paris, Ile-de-France
Machine Learning Engineer
Near Duplicate Video Detection (L'Oréal)
- Find twice many relevant results with a modification in the main algorithm.
- Reduce processing time 5 times using cache and parallel computing.
- Scale the system to be able to search from ten of thousands of videos.

One Shot Learning with Siamese Networks (BIC)
- Reduce model training time ~ 10 - 15 times using various optimization and parallel processing techniques.
- Increase model accuracy from 50% to 90%.
- Handle high loads with asynchronous API.
- Automate development and deployment process using DevOps best practices.
python tensorflow pytorch
Heavenize
Apr 2019 - Sep 2019 (5 months)
Paris Area, France
Data Scientist
Subject: “R&D Artificial Intelligence and Market Finance.”
- Design a Data Science pipeline to preprocess, train and evaluate Machine Learning models for financial data.
- Apply Machine Learning algorithms to automate a market prediction process.
- Survey the state-of-the-art of market prediction using news and sentiment analysis.
python docker scikit-learn
NICT
Apr 2018 - Sep 2018 (5 months)
Kyoto, Japan
Machine Learning Researcher
Subject: “Spoken language understanding and motion generation for domestic service robots”
- Champion of Partner Robot Challenge (Virtual Space) in World Robot Summit 2018 (Japan) (Team NICT, 10/2018)
- METI Minister's Award for Excellence in WRS.
- Japanese Society for Artificial Intelligence Award.
- Combine Machine Learning and hand-design approach to build a reliable grasping module with an 80 – 90% success rate.
- Build the navigation module and the natural language understanding module.
- Prepare data and run experiments for a Multimodal Classifier GAN to train intelligent domestic service robot.

If you're interested, please check our journey here: https://www.youtube.com/watch?v=fwR4UwR9nOE
python shell ros

Add some compelling projects here to demonstrate your experience
Quantlib: Enable time-dependent steps for binomial tree engines
Dec 2018 - Feb 2019
- Annalyse the bottleneck for the current binomial tree class with time-dependent parameters.
- Boost results to 3-4 times faster by implementing a cache solution and a vector solution to cache common results.
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"The QuantLib project (http://quantlib.org) is aimed at providing a comprehensive software framework for quantitative finance. QuantLib is a free/open-source library for modeling, trading, and risk management in real-life."
Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction
Nov 2018 - Mar 2019
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"
- Scrape, clean and explore a new dataset.
- Create an LSTM model that is better than the benchmark in the same trading period.
- Discuss the architecture limitation of the benchmark architecture and propose solutions.
Dematerialization a local complementary currency
Feb 2017 - Jun 2017
In this project, we research and provide technical support to an association of local complementary currency. The aim of this project is to provide a secure online tools for transactions.

This section lets you add any degrees or diplomas you have earned.
IMT Atlantique
Master of Engineering - MEng, Data Science for Finance
Dec 2015 - Dec 2018
Subject: Signal Processing, Computer Science, Machine Learning, Quantitative Finance.
Ho Chi Minh University of Technology
Bachelor's degree, Telecommunications Engineering
Dec 2011 - Dec 2015
Excellent Engineering Training Program (Programme de Formation d'Ingénieurs d'Excellence au Vietnam)
Mathematics for Machine Learning Specialization (Imperial College London)
Apr 2020
Advanced Linear Models for Data Science 1: Least Squares (Johns Hopkins University)
Jul 2020
Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization (Google Cloud)
Aug 2020

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