Devang Sharma
Tech Lead @BMO, Ex-Facebook, NASA, Google, Speaker at 80+ Events
Toronto, Canada
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Devang is a Senior Full Stack Developer with 5+ Years of hands-on experience in Analysis, Development, and Implementation with solid Programming expertise in - Java, Golang, Node.js, C#, Perl, Javascript, Typescript, ReactJs, Angular, PHP, C/C++, Python, Microservices and Distributed Services along with System Design and Object-Oriented Methodologies with a demonstrated history of working in the Internet Industry.
Area of Expertise
Topics
RabbitMQ on Kubernetes
Introduction to RabbitMQ and then Deploying RabbitMQ on Kubernetes, Introducing Importance of Event Driven Architecture and How to Achieve It.
Starting with Next.js and Kubernetes
This presentation will examine how a Next.js application can be deployed to a Kubernetes cluster. I do not intend to explain how to develop a Next.js application but I do start from the beginning.
Using MongoDB Clustered Collection to Boost Query Performance
Sessions Include:
- Overview of MongoDB Clustered Collections
- Normal Collections vs Clustered Collections
- Query Performance in Clustered Collection
- Matrices for Comparing Efficiency
- Where to Use Clustered Collections
- Live Coding Example on MongoDB Atlas
Real Life Applications of Generative AI - LLMs and GPT
Session Include:
- Define Generative AI
- Explain How Generative AI Works
- Describe Generative AI Model Types
- Generative AI Application - LLM and GPT
- Real-Life Applications of Generative AI
- Vertex AI and Gen AI Sudio
- Working Code in Bard
Next.JS - Performance Optimization Techniques With Code Examples
(1) Server-Side Rendering (SSR) and Static Site Generation (SSG)
(2) Code Splitting and Dynamic Imports
(3) Image Optimization
(4) Prefetching Pages
(5) Caching Strategies
(6) Optmize Fonts
(7) Removing Unused CSS
Snowflake Toronto, Toronto JS
GDG Devfest Toronto - University of Toronto
Introduction to Generative AI - LLMs and GPT
Session Include:
- Define Generative AI
- Explain How Generative AI Works
- Describe Generative AI Model Types
- Generative AI Application - LLM and GPT
- Real-Life Applications of Generative AI
- Vertex AI and Gen AI Sudio
- Working Code in Bard
MongoDB Conference
Using MongoDB Clustered Collection to Boost Query Performance
Sessions Include:
- Overview of MongoDB Clustered Collections
- Normal Collections vs Clustered Collections
- Query Performance in Clustered Collection
- Matrices for Comparing Efficiency
- Where to Use Clustered Collections
- Live Coding Example on MongoDB Atlas
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