About Me
I’m Raj Gaurav — an AI/ML engineer passionate about building intelligent systems that actually work in the real world. My focus lies in machine learning, deep learning, and generative AI, where I transform raw ideas into scalable, impactful solutions.
My work spans end-to-end model development, from data pipelines and training to deployment and integration. I have hands-on experience with neural networks (CNNs, RNNs, Transformers), reinforcement learning, and agentic AI frameworks like LangChain and LangGraph. Beyond research, I focus on reproducibility, rapid prototyping, and building automation pipelines that bring AI closer to real-world use cases.
What I'm Doing
Artificial Intelligence
Designing and training models for perception, prediction, and decision-making across real-world problems.
Reinforcement Learning
Developing reward-driven agents and environments to learn robust policies for sequential decision tasks.
Generative AI
Building and fine-tuning models that create text, images, and audio—focused on quality, alignment, and useful applications.
Agentic AI & Automation
Composing autonomous agents and automated pipelines that perform multi-step actions to solve tasks end-to-end.
Custom Solutions
Engineering end-to-end ML systems: data pipelines, model training, and lightweight deployments tailored to product needs.
Knowledge Sharing
Teaching and mentoring through workshops, clear documentation, and practical demos that make complex ideas accessible.