Currently Building
Practical LLM and agentic systems for legal workflows, with strong reliability and validation loops.
AI Engineer and Research Enthusiast
I work across deep learning, product engineering, and open source. This site is where I share technical write-ups, project updates, and learning notes from real-world ML and software work.
My interests span computer science and machine learning, especially deep learning for high-impact domains and robust production systems.
Practical LLM and agentic systems for legal workflows, with strong reliability and validation loops.
Systems that are useful in production: grounded outputs, measurable quality, and human-in-the-loop trust.
I enjoy writing technical explainers, open-source experiments, and making complex topics easy to follow.
Processing images to generate text, such as image captioning and visual question-answering, has been studied for years. Traditionally such systems rely on an...