About Me
Passionate about AI Research with a focus on NLP, Neural Networks, Agentic architectures and rapid prototyping. Seeking to leverage skills in Python, advanced AI tooling, and hands-on project experience to deliver data-driven, low-latency intelligent systems.
- Investigating the Geometry of Perceptron Learning in AI Systems.
- Build and fine-tune NLP models with custom datasets for domain-specific tasks.
- Research cost-efficient chain-of-thought systems using multi-model architectures.
Final Chain Function
Cost-Efficient Chain-of-Thought System
Route a user query through several lightweight thinking models in parallel, collect their reasoning traces, then feed the bundle to a stronger responding model. Produces deeper, more structured answers than a single low-cost model, while adding only sub-second latency.
Skills & Tools
Language Models and Limited Data
I investigated a low‑resource approach to building a chess‑aware language model by fine‑tuning a model on a compact synthetic corpus of Stockfish‑annotated midgame positions.
COLLABORATION
Open to jobs and opportunities in AI engineering/research, NLP, and agentic system development. Deep interest in machine learning in general.
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