Haribaskar Dhanabalan · AI Engineer
10+ years building AI products. I run hands-on workshops and help engineering teams take LLM systems from demo to production.
Speaking
A hands-on Machine Learning, Deep Learning & Deployment workshop
A hands-on workshop for faculty and research scholars at VIT Chennai, taking a model from data preparation and training all the way to a working deployment.
Topics
Designing agents that plan, use tools and work together, with human-in-the-loop checkpoints.
Connecting models to real data and APIs through the Model Context Protocol and function calling.
Hybrid search, reranking, knowledge graphs and grounded answers with citations.
From the blog
Featured9 Oct 2026 · 29 min read
Beyond better prompts: how to design, assemble, optimize and manage the information an LLM needs to solve a task.
Build an AI agent from scratch in Python: tools, the observe-decide-act loop, state, planning, error handling, termination and verification.
A deep technical guide to LLM internals, from raw text to token generation, with Python implementations from scratch.
Bringing it all together: how to design caching as a first-class part of an AI system, from keys and versions to reliability, cost and rollout.
Building
AI project communication for construction and interior teams.
A stronger digital presence for traditional healthcare practitioners.
Invite me
Workshops, faculty development programmes and guest lectures, shaped around your audience and goals.
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