CWI is the national research institute for mathematics & computer science in the Netherlands, based in Amsterdam.

Research intern working in collaboration with the Computational Imaging and Scientific Computing research groups. Field of work focused on the inverse problem aspects of the mathematical methodology developed in the context of fluid flows closure modelling.

Topics:

• Theory: Inverse problem, closure model, sensitivity analysis, differential equations, automatic differentiation, neural network
• Tools: Julia, SciML Ecosystem

Grab is the leading ride-hailing app in Southeast Asia. We use data and technology to improve everything from transportation to payments and logistics across a region of more than 620 million people. Working with governments, drivers, passengers, and charities, we aim to unlock the true potential of the region by solving problems that hinder progress.

Full-Stack engineer from the Real-Time Communication team, in charge of the Back-end development of communication services used by the customers

• Improvement of media: SMS, Call, Private Messaging, Notification, Email, Chat
• Implementation of management tool for customer consent
• Implementation of communications tracking for monitoring & debugging

Core Engineer in charge of development of the new service of messaging

• Design and maintenance of service infrastructure
• Back-end development: APIs, tracking, data processing and storage
• Fully owned life-cycle from design to deployment of the user interface service
• Impact: 1.7 billion messages sent per week to 240 million customers

Endorsed role of Site Reliability Engineer, responsible for user notifications service continuous operation

• Monitoring and maintenance
• Infrastructure modification responsibilities

Technologies

• Back-End: Golang, Python, Bash
• Front-End: ReactJS, Redux, AntD, Webpack
• Data Engineering & storage: Kafka, Redis, DynamoDB, MySQL
• Infrastructure: AWS, Terraform

Working on Deep Networks Analytic Solution, real-time network visualisation and analytics
Building high-performance applications for large-scale systems that delivers Deep Network insights to premium customers from Telecommunication industry:

• Working as a full-stack developer in UX/UI development team based on Singapore
• Carrying out development and maintenance of User Interface application
• Implementing monitoring features relatives to local and international telecommunication networks
• Processing of Big Data issued from telecommunication networks
• Acquiring knowledges relatives to telecommunication devices and technologies

Technologies:

• Back-end: Nginx, Node.js
• Front-End: Webpack, Vagrant, Gulp, React, Redux, HighCharts, D3

Joint degree programme of the University of Amsterdam and Vrije Universiteit Amsterdam.

Computational Science at its core involves the development of models and simulations to understand natural systems. Main focus on scientific computing through advanced numerical algorithms applied to fluid flows.

Topics:

• Fluid flows, reduced order models, Inverse problems,
• Data-driven modelling, Advanced numerical algorithms, Deep Learning,
• Parallel and distributed computing, Computer Vision,
• Modelling and simulation of real life applications

Studied at National Institute of Applied Sciences - Engineering College
Composed of two cycles:

• 2011 - 2013 : "Grandes Ecoles" preparatory classes
• 2013 - 2016 : Engineering cycle into "Architecture of Information Systems" department : signal processing, operating systems, databases, statistics, electronic, automatic, data mining, machine learning, image processing, network, web technologies.

Exchange semester in South Korea at KAIST
Graph Theory, Artificial Intelligence, Databases