I'm a Machine Learning Engineer and researcher passionate about pushing the boundaries of AI while ensuring it delivers real-world value. My work spans from implementing transformer architectures to developing novel approaches for historical document verification, combining rigorous technical methodology with creative problem-solving.
- 🎓 BSc in Computer Science (Machine Learning & AI) at the University of London, graduating March 2025 with 90% grade average
- 🧠 Conducting research in transformer-based authorship verification, achieving near-perfect metrics (AUC/F1/C@1 > 0.99) across multiple distorted views
- 🪛 Implemented Siamese Sentence-BERT architecture achieving competitive performance (AUC: 0.900, F1: 0.785) on VALLA benchmark
- 🎯 Director of Technology at Kid Chess, where we've built an AI-enhanced learning platform serving 3000+ students
- 🌟 Techno-optimist deeply driven by technology's potential to catalyze positive change
- 😄 Pronouns: he/him
- ML/AI: PyTorch, HuggingFace, Transformer Architectures, Python Scientific Stack
- Web Development: TypeScript/JavaScript, Angular, Node/Express, REST APIs
- Cloud & Infrastructure: AWS-EC2, S3, Azure Cloud
- Languages: Python, TypeScript, Erlang/OTP
- Data: SQL, NLP & Text Processing, Data Analysis
- Research & Analysis
- Technical Writing
- Problem Solving
- Project Management
- Leadership
- Effective Communication
- Developed novel LILA dataset with robust genre/topic bias controls
- Integrated text distortion techniques with transformer architectures
- Achieved competitive performance against PAN 2020 shared task participants
- View Research →
- Created AI-driven feedback system using OpenAI's GPT-4 API
- Led development of online platform serving 3000+ students
- Automated business processes using Python data pipelines
- Visit Platform →
- Exploring real-time communication with Erlang/OTP and React
- Learning distributed systems principles
- View Repository →
Let's create something impactful together!