Rayan Daod Nathoo

Machine Learning Engineer (AI & Data Engineering Team) at Atinary Technologies. Designed and built scalable training and inference pipelines for serving thousands of user-specific predictive models in production (AWS, MLflow, Docker). Architected the ML system to support iterative experimental loops, enabling researchers to query, update, and redeploy surrogate models in-step with new laboratory data.

• MLOps
• Model Serving
• AWS
• MLflow
• Docker

Junior Software Engineer at Atinary Technologies. Built user-facing backend features on the scientific computing platform, resolved critical production issues for enterprise clients, and optimized core APIs and database queries for lower latency. Improved team architecture and developer tooling, laying the infrastructure groundwork for the ML systems built subsequently.

• Backend
• API Optimization
• Developer Tooling

ML Research Intern at Bose Corporation. Developed a two-step Knowledge Distillation framework for compressing high-capacity sequence networks into sub-100k-parameter models subject to hard memory, energy, and latency constraints. The method decouples representation alignment, transferring latent geometric structure from teacher to student via a Similarity-Preserving loss, from raw target fine-tuning, enabling the student to inherit a rich internal feature space despite severe data constraints. Enforced strict streaming causality throughout: zero look-ahead, fully online inference on continuous 1D physical signals. Demonstrated state-of-the-art distillation efficiency at sub-100k-parameter budgets and in adverse low-SNR regimes. Supervised by Mikolaj Kegler (Audio Scientist) and Marko Stamenovic (Principal Engineer).

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

• Model Compression
• Knowledge Distillation
• Speech Enhancement
• Causal Inference

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

• Computer Vision
• Image Segmentation
• Super-Resolution
• Model Deployment

Machine Learning Intern and Master's Thesis at Logitech. Designed and prototyped a real-time, low-latency conditioned source separation system for machine perception under live acoustic environments. The model accepts a continuous 1D mixture stream and extracts target components conditioned on a learned embedding vector, enabling dynamic, personalized parsing of complex acoustic scenes with strict latency requirements. Applied to two distinct perception domains: precision acoustic event detection (gaming) and adaptive sensory filtering for neurodivergent users. Supervised by Dr Milos Cernak (Principal Engineer) and Dr Paolo Prandoni (Signal Processing, EPFL).

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

• Source Separation
• Real-Time Inference
• Low-Latency
• Machine Perception

MSc in Computer Science at the Swiss Federal Institute of Technology Lausanne (EPFL), with a specialization in Signals, Images and Interfaces, a cross-disciplinary track spanning sensing systems, communications, speech and language processing, computer vision, biomedical systems, and machine intelligence. Coursework and projects concentrated on machine learning methods for sequential data and physical signal processing.

• Machine Learning
• Signal Processing
• Deep Learning

• 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.

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

• Software Engineering
• Algorithms
• Systems

• 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.

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