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.

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CodersRank Rank
Top 1%
Based on:
Stackoverflow 8 events
Mid Developer
Top 10
Top 10
Highest experience points: 0 points,

0 activities in the last year

List your work history, including any contracts or internships
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
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
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.
"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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