- I'm an ML Engineer building intelligent systems and doing research in machine learning.
- My interests span mechanistic interpretability, reinforcement learning, and multimodal AI.
- I work as an ML Engineer at TeaCode.io, building production AI systems.
- I recently completed my B.Eng. in Data Engineering (thesis graded 5/5, graduated early 2026).
- Mechanistic Interpretability Paper β Co-authoring a paper with MiΕosz Grunwald on discriminative neurons in BERT for AI-generated text detection, using causal ablation and activation patching. Targeting A* tier conferences.
- RL Explainability Research β Member of the Off-the-Grid project at Gradient PG, exploring whether strategies learned by DRL agents can be extracted into human-readable symbolic rules.
- Programming: Python (PyTorch, TensorFlow, Keras), JavaScript/TypeScript (React, React Native, Node.js), C# (.NET/Unity), C/C++
- AI/ML: Deep Learning, Mechanistic Interpretability, Natural Language Processing, Reinforcement Learning, Computer Vision, LLMs
- Other: Data pipelines, web & mobile development, full-stack AI apps, EDA
If you're looking for a collaborator on a research topic or applied ML project, feel free to reach out.