Hi , I'm Waris Radji
PhD Student in Deep/Theoretical Reinforcement Learning

Hello , I'm Waris Radji
PhD Student in Deep/Theoretical Reinforcement Learning

Age

24 years

Location

France

Phone

+33 6 52 81 11 65

E-mail

contact@warisradji.com

Website

https://warisradji.com

Interests

Street Lifting, Competitive Programming, Evolutionary Genetics

Software Engineer & Researcher with 3+ years of industry experience in AI system design. Combines practical software engineering expertise with theoretical foundations in deep reinforcement learning, bringing a unique interdisciplinary perspective that bridges RL research with scalable implementation.

WORK EXPERIENCE

Jun 2022 - Aug 2022

Lunatech | Scala Center

OPEN-SOURCE DEVELOPER • Internship supd. by Chris Kipp • Rotterdam

Working on Scala 3 support and adding the call hierarchy feature into the open-source tool Metals, the Scala language server. I have been involved in the development of other minor features and in fixing many issues.

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.

Apr 2020 - Aug 2020

CNRS - Laboratoire d'Océanographie et du Climat

SOFTWARE ENGINEER • Internship supd. by Dimitry Khvorostyanov • 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.

Jul 2019 - Aug 2019

CNRS - Northern Paris Computer Science Lab

MACHINE LEARNING ENGINEER • 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.

SKILLS

Programming

Scala, Python, Java, Haskell, JS/TS, C, C++, Kotlin

Data Engineering

Spark, Kafka, Google Cloud Platform, (No)SQL

Machine Learning

JAX, Pytorch, Scikit-Learn, TensorFlow, Deeplearning4j

Data Visualization

D3.js, Plotly, ChartJS, Processing, Matplotlib, ggplot

Web Framework

React, Play!, Flask, Django, Angular

Soft Skills

Adaptability, Creativity, Problem-Solving, Attention to Detail

EDUCATION

2022 -2023

Numerics Graduate Program - Optimisation and Decision

University of Bordeaux Graduate Research School

Combinatorial Optimization

Mathematical Modelling and Programming

Constraint Programming

Energy considerations in deep learning

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

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

2018 - 2020

Technical college degree in Computer Science

Université Sorbonne Paris Nord (DUT Informatique)

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.

2022-2023

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.

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

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.