Currently Building
Practical LLM and agentic systems for legal workflows, with strong reliability and validation loops.
Kanak Raj
AI Engineer and Research Enthusiast
Building reliable machine learning systems and practical AI products.
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.
Research Interests
My interests span computer science and machine learning, especially deep learning for high-impact domains and robust production systems.
- Computer Vision
- Natural Language Processing
- Generative Models
- LLM Reasoning
- Harness Engineering
- Memory & Adaptive Agents
Quick Links
Personal Touch
What I Care About
Systems that are useful in production: grounded outputs, measurable quality, and human-in-the-loop trust.
Beyond Work
I enjoy writing technical explainers, open-source experiments, and making complex topics easy to follow.
Recent posts
The Long Game: The Technical and Strategic Reality of India’s PFBR Criticality
Every PFBR headline just repeated ‘Three-Stage Nuclear Power Programme’ without explaining what the stages mean or what flows between them. This post is what...
Fine-Tuning LLMs with Non-Differentiable Human Feedback + RL
The blog is focused on giving you an intuition of why even using non-differentiable reward function we are able to use Group Relative Position Optimization (...
Generalized Visual Language Models
Processing images to generate text, such as image captioning and visual question-answering, has been studied for years. Traditionally such systems rely on an...