Machine Learning Engineer
I'm a 22 y/o undergrad from Paris, dedicating my time to startups and AI.

Amaury Delille
48.8566° N, 2.3522° E
- Now
- Founder, VietBuddyFounder, Migraine0Machine Learning Intern, Groupe Bouygues
- Before
- Machine Learning Intern, Bosch
- Focus
- Embodied AI & consumer apps
- Studying
- MSc Computer Science & AI, EPITA
- Based
- Paris, France
Where I've been shipping.

Fig. 01VietBuddy on the App Store
01/Aug 2026 — NowOngoingVietBuddy
Founder · Remote
iOS Vietnamese learning app designed to help learners speak real, everyday Vietnamese with confidence.
- Voice conversations with Bé Trâu, an AI speaking partner, instead of flashcard drills.
- Scaling to $1M ARR.
- iOS
- Voice AI
- Consumer
- Growth

Fig. 02Migraine0 on the App Store
02/Jul 2026 — NowFor saleOngoingMigraine0
Founder · Remote
Your migraine tracker, without the daily burden. Confirm each day in seconds, uncover possible patterns, and prepare a clear 28-day record for your next appointment.
- 100k+ views on social media.
- Live on the App Store with paying subscribers since July 2026.
- iOS
- Health
- Pattern Mining
- Consumer

Fig. 03Humanoid in simulation, lidar sweep visible
03/Jun 2026 — NowOngoingGroupe Bouygues
Machine Learning Intern · Paris, France
Embodied AI on a humanoid robot: manipulation, perception and on-device multimodal models.
- Developing AI capabilities for the Agibot A2 Ultra humanoid robot ahead of its VivaTech 2027 showcase.
- Trained SAC policy for OmniHand object handling.
- Deployed an RT-DETR object detection pipeline for real-time customer-intent classification and robot interaction triggering, averaging 81ms latency.
- Deploying on-device VLMs (Qwen models) for low-latency multimodal inference.
- Reinforcement Learning
- SAC
- RT-DETR
- VLMs
- Robotics

Fig. 04Ho Chi Minh City at nightPhoto: Jim 陳, CC BY-SA 2.0
04/Sep 2025 — Feb 20266 mosBosch
Machine Learning Intern · Ho Chi Minh City, Vietnam
Time-series forecasting, retrieval and knowledge graphs for Bosch Automobile.
- Implemented and trained decoder-only next token prediction models for time-series forecasting tasks.
- Fine-tuned time-series forecasting transformers using LoRA for anomaly detection.
- Developed a RAG-powered search platform with 250ms average latency, streamlining enterprise knowledge retrieval across Bosch Automobile, based on an ANN for retrieving and a cross-encoder + BM25s pipeline for re-ranking.
- Built an AI-agent-based ETL framework, converting Excel sheets into Neo4j-ingestible graph schemas, removing tedious manual data onboarding and enabling knowledge graph ingestion.
- PyTorch
- Time Series
- LoRA
- RAG
- Neo4j

Fig. 05Underground cellar, Château Pontet-CanetPhoto: seligmanwaite, CC BY 2.0
05/Dec 2024 — Jun 20257 mosWine Labs
AI Engineer, Freelance · New York, United States
Data infrastructure for the wine trade, remote from Paris.
- AI agent scraper deployed on 2M+ websites.
- Outlier detection using statistical methods.
- Optimized real-time backend events and data communication.
- AI Agents
- Scraping
- Outlier Detection
- Real-time

Fig. 06Liège Airport passenger terminalPhoto: Raimond Spekking, CC BY-SA 4.0
06/May 2023 — Jul 20233 mosPyxis Technologies
Software Engineer Intern · Brussels, Belgium
Client software for Liège Airport and in-house web tooling.
- Software development, bug and issue solving for Liège Airport using C#/.NET, RabbitMQ, Entity Framework and SQL.
- WordPress plugin development with PHP.
- Agile training.
- C#
- .NET
- RabbitMQ
- SQL
- PHP
VietBuddyFig. 01VietBuddy on the App Store
Things I built on the side.
Stealth Startup
Something is brewing.
I'm exploring fragmented markets that are ripe for AI, industries where business intelligence and aggregation are still done with spreadsheets, phone calls and gut feeling.
- Business Intelligence
- Aggregation
- AI
Condense Labs
Compress LLM models. Deploy anywhere.
LLMs are huge. We made them faster, lighter and smarter, compression pipelines built on knowledge distillation, quantization and pruning, with impressive results along the way.
- Distillation
- Quantization
- Pruning
Tana-8B
A decoder-only LLM trained on a French corpus.
Built so my computer-science-informed grandpa, a heavy Copilot and ChatGPT user, could finally relate to what I do. RoPE encoding, SwiGLU MoE and FlashAttention, trained distributed across two GPUs with ZeRO-3. Stopped at 1/10 of the dataset because it was getting too expensive…
- RoPE
- SwiGLU MoE
- FlashAttention
- ZeRO-3
Sanily Skincare
Know what you consume.
I break down skincare ingredients so you don't have to. My first serious project, born from frustration with apps full of commercial bias, outdated data and zero fact-checking. 250+ users across Indonesia, France, the US and more. Earned $60 in subscriptions, lost ~$150 to infra and App Store costs, and learned a fortune in system design, ML pipelines and startup reality.
- System Design
- ML Pipelines
- iOS
Field notes from the road.
Hackathons & school.
Hackathons
Education
EPITA
2022 — 2027MSc Computer Science & AI · Paris
Five-year master's in Computer Science and AI. First three years: low-level programming (OS, C, C++, ASM), mathematics (linear algebra, calculus, probability & statistics) and data structures & algorithms. Last two years: ML algorithms (neural nets, RL, Bayesian inference), advanced mathematics (convex optimization, lin alg II, proba & stats II) and applied ML (recommender systems). Enrolled in the Entrepreneur Program since 2024, presenting and iterating on a startup project.
FPT University
2024Exchange Program — OS, ML & SWE · Vietnam
A life-changing experience. I discovered a new culture, new people, new ways to interact and make friends, and truly fell in love with Vietnamese culture.