ANAS LECAILLON

⭐ GaussNotes

• Built an AI-powered LaTeX editor for mathematics
• Developed an AI-Copilot for Math Editing
• Created Flutter web app with real-time editing

PyTorch • Flutter • Transformers • Mathematics

⭐ VLM Web Agent Dataset

• Created specific dataset for training web navigation agents on google flight trajectories
• Developed automated data collection pipeline
• Fine-tuned PaliGemma for web navigation

Python • Playwright • Computer Vision • Data Engineering

⭐ GPT 2 From ScratchWIP

• Implementing GPT-2 architecture from first principles
• Building custom training pipeline with distributed training
• Guiding 15 students through the project

PyTorch • NLP • Transformers • HPC

⭐ Loop Programming LanguageWIP

• Designed and implemented a new programming language
• Built lexer, and tokenizer
• Creating parser and type checker
• Planned: a comprehensive standard library
• Planned: compiler and runtime environment using LLVM

Rust • Compiler Design • Programming Languages

Autonomous Vehicle

• Built self-driving car prototype using Raspberry Pi
• Implemented computer vision for lane detection
• Developed real-time control systems

Python • OpenCV • Robotics • Arduino • Raspberry Pi

Higgs Boson Detection

• Developed ML models for particle physics data analysis
• Processed CERN collision data
• Achieved high detection accuracy using ML and Deep strategies

Python • Physics • Machine Learning • Big Data

NN Library in Vlang

• Created neural network library in V programming language
• Implemented various activation functions and optimizers
• Implemented backpropagation algorithm

V • Neural Networks • Machine Learning

Delivery Optimization

• Developed route optimization algorithm for delivery services
• Implemented A* and genetic algorithms
• Used K-Means to cluster delivery locations
• Used Held-Karp algorithm to optimize routes

Go • Algorithms • Optimization • Graph Theory