Hello! 👋
I'm Sajal, AI Engineer and Technology Leader specializing in Generative AI, Machine Learning, and Natural Language Processing.
I’m passionate about building AI systems that amplify human potential—bridging the gap between human and artificial intelligence.
Explore my journey and insights on AI & ML through my blog, or read more about my professional experience. 🚀
Featured Posts
Guest Lecture at Yale: February 2025 - Agentic Systems with LangGraph
Published: at 12:00 AMSlides from my guest lecture at Yale for Generative AI & Entrepreneurship class (MGT 899).
Building AI Agents with LangGraph: My First O'Reilly Course!
Published: at 12:00 AMAnnouncing my first video course with O'Reilly—Building AI Agents with LangGraph! This course dives deep into AI agent design, action-taking, and multi-agent architectures using Python and OpenAI.
An Overview of Multi Agent Frameworks: Autogen, CrewAI and LangGraph
Published: at 12:00 AMA brief look at the components of multi-agent frameworks and the current cutting edge options.
Building a Corrective RAG workflow with LangGraph
Published: at 12:00 AMA deep dive into the process building a corrective RAG workflow using langgraph to handle scenarios where the documents retrieved from a vector database in a traditional RAG workflow are not relevant to answer a question.
Recent Posts
Deploy StableLM models on AWS Sagemaker Endpoints
Published: at 12:00 AMThis blog post guides you through the process of deploying StableLM models on AWS Sagemaker Endpoints, including creating a custom inference script and setting up the endpoint.
Building an Image Classifier Really Fast Using Fastai
Published: at 12:00 AMIn this post, I demonstrate how to quickly build an image classifier using the fastai library, a powerful tool for practical deep learning. The project involves classifying images of fruit as either rotten or fresh.
Coding K-Means Clustering using Python and NumPy
Published: at 12:00 AMThis post details the process of coding the K-Means Clustering algorithm from scratch using Python and NumPy. It's a great exercise for understanding the mechanics of this fundamental machine learning algorithm.