I'm a Machine Learning Engineer at Odaia, where I focus on building robust, production-grade ML pipelines that deliver real business impact.
My work spans the entire machine learning lifecycle — from data ingestion and experimentation, to model deployment and observability, always backed by solid MLOps principles. I believe ML is more than just training models — it's about building systems that learn and last.
- I’m deeply curious about how machines reason — especially in the context of language and abstraction.
- I’m currently focused on training small yet capable language models with a bias toward reasoning, grounding, and instruction-following.
- I care about model efficiency, evaluation beyond benchmarks, and building models that can actually help people, not just impress benchmarks.
🛠️ "Trying to build something meaningful" isn’t just a phrase — it's the compass that guides every project I take on.