Hi , I'm Waris Radji
Artificial Intelligence Research Student & Freelancer

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Hello , I'm Waris Radji
Artificial Intelligence Research Student & Freelancer

Age
22 years
Location
France, Paris/Bordeaux
Phone
+33 6 52 81 11 65
E-mail
Website
Interests
Street Lifting, Competitive Programming, Biology (Evolutionary Genetics)
Seeking a challenging position as a Reinforcement Learning Research Scientist in an innovative and state-of-the-art company or research laboratory. Experienced Software Engineer with 3+ years of experience, I have a solid background in designing AI system, that gives me a unique perspective and set of skills that I believe would be valuable in contributing to the development of advanced reinforcement learning research.

WORK EXPERIENCE

Lunatech | Scala Center logo.
Jun 2022 - Aug 2022

Lunatech | Scala Center

SCALA OPEN-SOURCE DEVELOPER • Internship • Rotterdam

Working on Scala 3 support and adding the call hierarchy feature into the open-source tool Metals, the Scala language server. I still contribute to this project by solving issues and doing code reviews.

Scalameta Scalameta logo
Scala Scala logo
Centre Hospitalier Universitaire de Bordeaux logo.
Jul 2021 - Aug 2021

Centre Hospitalier Universitaire de Bordeaux

DATA ANALYST • Freelance • Remote

Prediction of drowning risk from daily Meteo France meteorological data and development of an associated dashboard and an alert system.

Docker Docker logo
SQLite SQLite logo
R R logo
CNRS - Laboratoire d'Océanographie et du Climat logo.
Apr 2020 - Aug 2020

CNRS - Laboratoire d'Océanographie et du Climat

FULL-STACK DATA DEVELOPER • Internship • Paris

Development of new functionalities for L-SAT, a web platform for collaborative analysis and exploration of satellite data. Minor changes to existing data analysis codes.

RabbitMQ RabbitMQ logo
ChartJS ChartJS logo
Javascript Javascript logo
Postgresql Postgresql logo
Matlab Matlab logo
Django Django logo
Python Python logo
CNRS - Northern Paris Computer Science Lab logo.
Jul 2019 - Aug 2019

CNRS - Northern Paris Computer Science Lab

SCALA DATA DEVELOPER • Associate • Paris

Implementation of a bio-inspired and clustering algorithm (Ant-Tree) in Scala to integrate it into the Clustering4Ever library. Use of data visualization libraries and Apache Spark to write ML notebooks.

Jupyter Jupyter logo
Maplotlib Maplotlib logo
Spark Spark logo
Python Python logo
Scala Scala logo

EDUCATION

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2022 -2023

Numerics Graduate Program - Optimisation and Decision

University of Bordeaux Graduate Research School

The Numerics program aims to train tomorrow's experts in complex digital systems analysis, through a week of courses and projects on the themes of optimisation and decision, and weekly seminars.

Combinatorial Optimization
Mathematical Modelling and Programming
Constraint Programming
Energy considerations in deep learning
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2020 - 2023

Engineer's degree in Computer Science - Artificial Intelligence Major - PhD track

ENSEIRB-MATMECA - Bordeaux Graduate School in Electronics, Computer Science, Telecommunications, Mathematics and Mechanics

Master the necessary fundamental, theoretical and practical aspects of the main fields of computer sciences in order to develop. I joined the PhD track, which prepares engineering students for scientific research and its applications, encourages R&D vocations and facilitates the understanding of doctoral studies, through seminars, round tables, visits, projects, specific modules, etc.

Probability
Formal Methods
Automata Theory
Compiler Theory
Distributed Computing
Numerical Methods
System Programming
Computability Theory
Machine Learning
Reinforcement Learning
Deep Learning
Video Analysis
Computer Vision
Search Algorithms
Knowledge Representation
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2018 - 2020

Technical college degree in Computer Science

Université Sorbonne Paris Nord (DUT Informatique)

Multidisciplinary training that trains assistant engineers and project managers in management and industrial computing. Operational in software and hardware development, we have participated in the design, realization and implementation of computer systems.

OOP
Database
HCI
Web Programming
Agile Methodology
Linear Algebra
Graph theory
Algorithms
Analysis
Differential Equation
Operational Research
Computer Network

ACHIEVEMENTS & PROJECTS

2022-2023

Evolutionary DIAYN

APPRENTICE RESEARCHER

Explored the benefits and limitations of applying DIAYN, a unsupervised reinforcement learning algorithm for skills discovery, on top of Evolutionary Strategies. Evaluated the performance and potential applications of this combination, and identified key considerations for effectively implementing DIAYN with Evolutionary Strategies.

2022-2023

Symboling: Reinforcement learning on symbolic data

APPRENTICE RESEARCHER

In collaboration with the INRIA Mnemosyne team, development of a variant of Q-Learning for use with symbolic data, allowing the incorporation of structured knowledge in the form of qualitative or quantitative data. Utilized edit distance to connect data points and navigate the space of the problem.

2022

GOOGLE ROADEF/EURO challenge 2012

APPRENTICE RESEARCHER

1 week to solve a machine reassignment problem, limited by hard constraints. I have mathematically modeled the problem as a system of linear equation, and I have solved it with Mixed Integer Programming methods using the Python-MIP library.

2022

Universal adversarial perturbations

APPRENTICE RESEARCHER

Reproduction of an experiment from the paper "Universal adversarial perturbations" (accepted at CVPR 2017) consisting in proving the efficiency of universal perturbations on the VGG11 architecture.

2022

MindMail

DEVELOPER

Creation of an "intelligent" webmail client, capable of classifying mails by automatically determining the different categories. An interactive interface allows to visualize the created clusters.

2021-2022 (Active)

Eirb'IA

CO-FOUNDER (with Hector Piteau)

Creation and management of the Artificial Intelligence Club of ENSEIRB-MATMECA through workshops, conferences, debates, competitions and paper popularization.

2019-2021

Clustering4Ever

CONTRIBUTOR

Implement various ML algorithms into Clustering4Ever, a Big Data Clustering Library gathering clustering, unsupervised algorithms, and quality indices, written in Scala and Spark.

TECHNICAL SKILLS

Programming
Scala, Python, Java, Haskell, JS/TS, C, C++, Kotlin
Reinforcement Learning
QL, SARSA, DQL, SAC, DIAYN, Gym, Stable Baselines
Data Engineering
Spark, Kafka, Google Cloud Platform, (No)SQL
Machine Learning
Scikit-Learn, TensorFlow, Pytorch, Clustering4Ever, NLTK, Deeplearning4j
Data Visualization
D3.js, Plotly, ChartJS, Processing, Matplotlib, ggplot
Web Framework
React, Play!, Flask, Django, Angular