A 2.5 hour crash course on developing GenAI apps using Amazon Bedrock. I covered key topics including setting up Bedrock, fine-tuning AI models, and utilizing foundation models to solve specific problems. Bedrock's approach to responsible AI, emphasizing privacy, security, and ethical AI use were also discussed.

In this interactive workshop, I dive deep into Google Gemini 1.5's capabilities and architecture. This hands-on session provided a step-by-step guide to developing various GenAI applications using Google's AI Studio and Vertex AI. Examples include an application to find geolocations from a video, finding similar movies based on watch history and their synopses, and an application to help buy matching furniture for your house.

I scripted, choreographed, cinematographed, directed, and edited a fun video with our CTO, engineering manager, and software engineer to promote the Index Conference 2024.

I organized a startup expo as part of the INDEX Conference 2024. This is a preview video I created to generate hype for the expo, featuring highlights from my seven recordings with engineers and DevRels from seven rising AI startups: Arize, Alluxio, Superlinked, Beseten, Explo, RedPanda, and Warpstream.

A code along workshop where I gave a talk on Self-RAG and built a chatbot powered by RAG.

An online webinar in collaboration with Laurie, VP of DevRel @LlamaIndex and Daniel co-founder and CEO @Superlinked.

I built a Recommendation System WebApp using Rockset's Vector Search and OpenAI's Embedding Model.

I was invited by AI User Group to give a talk on the evolution and the current state of Video Understanding AI and demonstrate Multimodal Video Seach using Twelve Labs platform.

I share insights on Explainability in Machine Learning models using Shap, Lime, and Anchors during a zoom webinar.

An online workshop where I demonstrate how to customize Neural Networks according to domain-specific data for forecasting and predictive modeling use cases.

I created a video to help the sales team pitch the Abacus.AI recommendation system to a customer.

I gave a workshop in collaboration with my colleague and an excellent machine learning engineer, Yury, where we demonstrated effective data manipulation techniques for real-world deep learning scenarios.

A workshop on training end-to-end deep learning-based predictive models using Abacus.AI console.

A YouTube live stream with ML researcher Yash Savani where I discussed ML explainability and Yash shared his expertise on debiasing methods for ML models.

This is part 2 of the workshop I gave in collaboration with my colleague and an excellent machine learning engineer, Yury, where we demonstrated effective data manipulation techniques for real-world deep learning scenarios.

In this workshop, I discussed how easy it is to train a deep learning-based recommendation system that can predict the top anime to watch based on a user's watch history. This workshop was in collaboration with my friend and the head of research at Abacus.AI, Colin White, who also spoke about some of the research behind Abacus.AI's recommendation system.

A comprehensive tutorial I strategically created to spoonfeed AI/ML beginners and encourage them to learn more about this futuristic technology.

This was a personal project during my Master's: Intelligent parking tracker - A computer vision based system to track empty and occupied parking spaces.

A quick look at 2019.

Retrospecting 2018 in 2 minutes.