Strategic and hands‑on Engineering Manager with 11+ years of experience in AI/ML and scalable systems. Driving innovation and delivering enterprise‑grade solutions across industries.
Bhavani Shankar is a results‑driven engineering leader with over 11 years of experience in AI/ML, cloud and scalable systems. He has led teams across startups and enterprises, delivering impactful AI‑driven features and cloud transformations. His career spans from building smart mobile experiences at Samsung to leading generative AI strategy at Fourkites. Currently, he drives enterprise GenAI adoption and mentors engineers to build scalable, fail‑safe systems.
This article explores how to enhance movie recommendation engines by integrating content‑based filtering with LLM‑powered reasoning. Bhavani discusses using embeddings to capture nuanced user preferences and building a hybrid engine for personalized recommendations.
Inspired by NVIDIA’s paper on small language models, this post describes how Bhavani evaluated his chatbot’s performance and improved accuracy using evaluation metrics, information retrieval and rule‑based enhancements.
Bhavani shares a practical guide to constructing a GenAI technology stack, covering everything from quick prototypes to production‑ready systems. He outlines the components, pitfalls and best practices for scaling generative AI solutions.
For more articles, visit Shankar Y Bhavani’s Medium profile.
You can download my latest resume here.
Email: yeleswarapushankar@gmail.com
LinkedIn: linkedin.com/in/ybs010
GitHub: github.com/ybshankar010
Medium: medium.com/ybshankar010