Rayan Daod Nathoo

Hi! I'm Rayan Daod Nathoo and this is my website, where you can find more about me, my work, and my projects.

I am naturally drawn to impactful and technically challenging problems, with a soft spot for applied research. At my best when I need to innovate under hard constraints, I move comfortably between research and production, and across fields, which makes me good at translating ideas from one domain into another. I learn fast, am hard to discourage, and I share what I know as I go.

MSc in Computer Science from EPFL.
So far collaborated with Atinary Technologies, Bose, Logitech, and EPFL.

Outside work, enjoy producing music and travelling!

Apr 2026 – Now

Machine Learning Engineer (AI Research & Innovation Team) at Atinary Technologies. Researching new Bayesian Optimization methods for chemistry, and turning research ideas into production-ready parts of the ML pipeline.

Mar 2025 – Apr 2026

Machine Learning Engineer (AI & Data Engineering Team) at Atinary Technologies. Designed and built scalable training and inference pipelines for serving personalized, user-specific models in production (AWS, MLflow, Docker), and helped shape the overall ML system design.

Dec 2023 – Mar 2025

Junior Software Engineer at Atinary Technologies. Built user-facing backend features, resolved critical production issues for enterprise clients, optimized core APIs and queries for lower latency, and improved the team's architecture and developer tooling.

Feb – Aug 2023

ML Research Intern at Bose Corporation, developing lightweight, low-latency Speech Enhancement and Source Separation deep learning models. Focused on Knowledge Distillation to improve the performance of tiny causal models subject to hard memory, energy, and latency constraints. I developed a novel method that performs particularly well in adverse conditions (low-SNR input, sub-100k-parameter models). Supervised by Mikolaj Kegler (Audio Scientist) and Marko Stamenovic (Principal Engineer).

Publication (Published at ICASSP 2024)
Poster (Presented at SANE 2023)

May – Aug 2022

Computer Vision Engineer in the Multimedia Signal Processing Group (MMSPG) at EPFL. I evaluated and deployed open-source Image Segmentation and Super-Resolution deep learning models into a video streaming pipeline, as part of AdMiRe, an EC-funded project (Horizon 2020). The project was successfully validated by the reviewers and end users. Done in collaboration with Prof. Dr Touradj Ebrahimi.

Publication (Published at SPIE 2022)
Open-sourced code

Aug 2021 – Feb 2022

Machine Learning Intern and Master's Thesis at Logitech. I developed and prototyped a real-time Target Source Separator for audio event extraction/removal. The resulting deep learning model takes a mixture as its first input and extracts/removes target sources based on a conditioning vector given as second input. The prototypes were aimed at gamers (footstep enhancement in FPS games) and neurodivergent people (full audio-environment personalisation). Supervised by Dr Milos Cernak (Principal Engineer) and Dr Paolo Prandoni (Signal Processing teacher at EPFL).

Master's Thesis
Mentioned at AMLD 2022 by Dr Milos Cernak (Principal Engineer at Logitech)

2019 – 2022

MSc in Computer Science at the Swiss Federal Institute of Technology Lausanne (EPFL), with a specialization in Machine Learning and Digital Signal Processing.

Master's Thesis at Logitech (see above)
Percussion Sample Classifier (semester project with the LCAV)
JUCE VST audio plugin (optional semester project with the LCAV)
Twitter Sentiment Analysis (Course CS-433: Machine Learning)

Extracurricular activities

President of CLIC, the association of 1,500+ Computer and Communication Sciences students at EPFL. My role involved management and decision-making, organisation and leadership (12 committee members), regular follow-up with members and commissions (5 commissions), and external representation, in particular with the main EPFL institutions.
Sponsoring Manager for CLIC: regular contact with sponsors and search for new partners, contract negotiations, internal collaboration with the executive committee, weekly meetings, and participation in important decisions of the association.
Student representative for Master's students: I took part in semester meetings with the IC School management and administration, presented and discussed course and curriculum improvements, and relayed official student feedback. Several suggestions were implemented.
Student Assistant in CS-101: I helped students solve weekly exercises and prepare the "Advanced Information, Computation, Communication I" exam (in 2017 and 2020).
Communication Staff for the EPFL IC School: live coverage on social networks of EPFL events (Applied Machine Learning Days, EPFL Open Days, talks, workshops). This required technical understanding of the scientific subjects, French and English skills, and the ability to popularise science.

2015 – 2019

BSc in Computer Science at the Swiss Federal Institute of Technology Lausanne (EPFL), with a specialization in Software Engineering.

3D Indoor Forensics Using a Drone (semester project in the LDM)
Transmission over a Continuous-Time Channel with Impairments (COM-302: Principles of Digital Communications)

Extracurricular activities

Event Manager for CLIC: I organised 10+ events including the IC School Supper (400+ participants) and the IC Boost Day (a career day for IC students), handled logistics (purchase, storage, installation), and took part in weekly meetings and important decisions of the association.
First-year student Coach: I welcomed first-year students to university and organised events (aperitifs, games). I mentored a group of 10 to 15 first-year students regularly on courses, advice, and student life in general.

2015

Baccalauréat S (major in Mathematics, European section) with the highest honours, at the Lycée Français Jean-Mermoz of Dakar, Senegal.

Additional Certificates

TensorFlow: Advanced Techniques Specialization (Sept 2023)

Custom Models, Layers, and Loss Functions with TensorFlow
Custom and Distributed Training with TensorFlow
Advanced Computer Vision with TensorFlow
Generative Deep Learning with TensorFlow

TensorFlow Developer Specialization (Dec 2022)

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Convolutional Neural Networks in TensorFlow
Natural Language Processing in TensorFlow
Sequences, Time Series and Prediction

Deep Learning Specialization (Nov 2022)

Neural Networks and Deep Learning
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Structuring Machine Learning Projects
Convolutional Neural Networks
Sequence Models

Personal Projects

Spoteezer. I love music, and sharing it across platforms like Deezer and Spotify has always been a struggle. So I created Spoteezer: a web app that converts Spotify links to Deezer (v1) and back (v2). I built it with HTML/CSS (frontend) and a Flask Python server (backend). It interacts with both platforms' APIs to return the best match.

Demo

French Intent Classification. A French chatbot intent classifier built for a technical challenge, combining pre-trained Hugging Face Transformers (FlauBERT, CamemBERT) as embeddings with classic ML classifiers (Logistic Regression, MLP). Trained on a French-translated subset of the CLINC150 dataset, the best model reached a 98% average F1 score on the test set.

Code

Demo

Forum EPFL Search. While looking for companies to contact during my job search, I realised that the Forum EPFL website's search engine was not very practical, as it only compared the query to company names. So I started a project that:

scrapes the Forum EPFL website to gather companies' information, job offers, and sought profiles;
generates a prompt based on the user's profile and interests;
finds the best-matching companies by passing the user-tailored prompt and the scraped data to a Large Language Model.

Code (WIP)

Master's Graduation Video. I edited this 15-minute video celebrating the 2022 graduation of EPFL Computer and Communication Sciences Master's students. It was broadcast during the ceremony, in front of the students and their guests.

Watch it here

This website. The idea is to gather all my work and projects in one place. I built it with plain HTML and CSS, based on Andrej Karpathy's website as a template. Thanks to him for the inspiration! It was a great opportunity to learn about web development and design, as well as CI/CD pipelines using GitHub Actions. Feel free to reuse the template!

Code

My Music

I started producing electronic music in 2018. I first started with Cubase, then FL Studio, and finally Ableton Live. It's a long process of listening to others' work, training my ears, and practising the tools in order to compose tracks that I like and that sound professional. I compose, sound-design, mix, and master everything myself. Here are some of the tracks I've released and am the most proud of:

D/WN · 4:44

D/WN · phi

D/WN · SPLIT

D/WN · BOUNCE

Follow me on your favourite platform!

Machine Learning Engineer

Additional Certificates

Personal Projects

My Music

Publications

Talks