Talks & workshops

Conference sessions, webinars, workshops, and community talks.

I give talks and workshops about systems I have built: agent evaluation, production RAG, LLM application design, and MLOps. Courses are listed on the Work page.

Selected talks and workshops

2025
W&B webinar
Agent evaluations with CrewAI and W&B Weave
With Tony Kipkemboi and João Moura. Tracing, evaluating, and iterating on agentic applications.
2025
DataHack Summit
The Missing Piece of AI Apps: Evaluation
How to define datasets, scorers, and iteration loops for LLM applications.
2025
ML Kolkata
GenAI Workshop: RAG Zero to Hero
Two hands-on sessions: an overview of current GenAI systems and a RAG implementation workshop.
2024
DataHack Summit
Enhancing LLMs with Structured Outputs and Function Calling
Structured outputs and function calling for connecting language models to software.
2024
W&B webinar
Fine-tune Command R/R+ using Cohere and W&B
With Komal Teru. Establishing baselines, tracking fine-tuning, and evaluating results for Cohere’s Command models.
2024
W&B webinar
Optimizing LLM apps at scale
With Bharat Ramanathan. Lessons from evaluating Wandbot and building multilingual leaderboards for real RAG systems.
2024
W&B × Cohere
Building flexible, evaluation-driven RAG
With Maxime Voisin. Retrieval design and evaluation for production RAG.
2023
W&B
LLMs for the mass market
With Bharat Ramanathan and Ian Webster. Evaluation and internal-productivity lessons from deploying LLM-powered tools.
MLOps
ODSC
Deep dive into end-to-end MLOps using W&B
Experiment tracking, dataset and model versioning, and reproducible training with W&B.
2019
GDG Kolkata
Deep Learning for Detection and Segmentation
An early community talk on practical computer-vision pipelines for object detection and semantic segmentation.

Community

I was a Google Developer Expert in Machine Learning from 2022 to 2025. I have also taught through GDG communities, Kaggle, W&B events, and local ML groups.

For a session, workshop, or collaboration, the best way to reach me is LinkedIn.