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Seenivasa Ramadurai

Sreeni Ramadurai is a Cloud and AI Solution Architect with over 20 yrs of experience, specializing in Cloud (Azure ,AWS, GCP) , Microservices , gRPC, AI/ML/DL SKLearn,TF , GenAI, NLP, and Vector DBs.

Location Dallas. Texas Joined Joined on 
Understanding NLP: The Fusion of Linguistics, Computing, and Deep Learning
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Understanding NLP: The Fusion of Linguistics, Computing, and Deep Learning

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4 min read

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The Evolution from Microservice to Multi-Agent AI Systems
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The Evolution from Microservice to Multi-Agent AI Systems

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2 min read
Developing Multi-Agent Applications: A Deep Dive into AI Agent Frameworks
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Developing Multi-Agent Applications: A Deep Dive into AI Agent Frameworks

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4 min read
Tools and DI(Dependency Injection) : Streamlining AI Development with PydanticAI
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Tools and DI(Dependency Injection) : Streamlining AI Development with PydanticAI

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3 min read
Simplify AI Agent Development with PydanticAI: A Game-Changer for Python Developers
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Simplify AI Agent Development with PydanticAI: A Game-Changer for Python Developers

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3 min read
Building a Simple Conversational Chatbot LLM Application with LangChain
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Building a Simple Conversational Chatbot LLM Application with LangChain

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4 min read
Formatting LLM Responses: From Unstructured Text to Structured Outputs
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Formatting LLM Responses: From Unstructured Text to Structured Outputs

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2 min read
Getting Started with LangChain: Building LLM-Powered Applications
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Getting Started with LangChain: Building LLM-Powered Applications

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3 min read
End-to-End Guide: Building, Containerizing, and Deploying ML Models with Docker(Desktop)
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End-to-End Guide: Building, Containerizing, and Deploying ML Models with Docker(Desktop)

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9 min read
AI AGENTS
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AI AGENTS

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4 min read
Tensor vs NumPy
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Tensor vs NumPy

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1 min read
NLP 101: Title: Lemmatization vs. Stemming: The Thoughtful Strategist vs. The Rule-Following Hacker.
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NLP 101: Title: Lemmatization vs. Stemming: The Thoughtful Strategist vs. The Rule-Following Hacker.

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1 min read
The AI Revolution: Redefining Software Development and the Role of Developers
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The AI Revolution: Redefining Software Development and the Role of Developers

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2 min read
From Classroom Attention to Transformer: A Journey Through Language Learning and AI Evolution
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From Classroom Attention to Transformer: A Journey Through Language Learning and AI Evolution

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3 min read
Denoising Images with Autoencoders: A Practical Guide Using MNIST Dataset- Part 2
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Denoising Images with Autoencoders: A Practical Guide Using MNIST Dataset- Part 2

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4 min read
Exploring Autoencoders:Anomaly Detection with TensorFlow and Keras Using the MNIST Dataset-Part-1
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Exploring Autoencoders:Anomaly Detection with TensorFlow and Keras Using the MNIST Dataset-Part-1

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8 min read
Early Stopping in Machine Learning and Life: Knowing When Enough is Enough
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Early Stopping in Machine Learning and Life: Knowing When Enough is Enough

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5 min read
Navigating Bias and Variance: Lessons from Learning to Ride a Bike
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Navigating Bias and Variance: Lessons from Learning to Ride a Bike

#bias #variance #machinelearning
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2 min read
Understanding Agile Roles Through AI: Comparing Encoder-Decoder, Encoder, and Decoder-Only Models to SM, PO, and BA
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Understanding Agile Roles Through AI: Comparing Encoder-Decoder, Encoder, and Decoder-Only Models to SM, PO, and BA

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4 min read
PCA vs. t-SNE: Unveiling the Best Dimensionality Reduction Technique for Your Data
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PCA vs. t-SNE: Unveiling the Best Dimensionality Reduction Technique for Your Data

#pca
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6 min read
We Are in the Penultimate Stage Before We See the Final Generative Model: Introducing OpenAI o1-preview
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We Are in the Penultimate Stage Before We See the Final Generative Model: Introducing OpenAI o1-preview

#chatgpt #openai
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4 min read
How Outliers Affect the Mean: An Analogy with Leadership in a Company
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How Outliers Affect the Mean: An Analogy with Leadership in a Company

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3 min read
Optimizing GenAI & AI Deployment: Harnessing Microsoft AI Services for Efficient and Scalable Solutions
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Optimizing GenAI & AI Deployment: Harnessing Microsoft AI Services for Efficient and Scalable Solutions

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1 min read
AWS -IAM Policies Overview
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AWS -IAM Policies Overview

#aws #iam
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2 min read
Advanced Techniques in RAG: A Deep Dive into MMR, Self-Querying Retrievers, Contextual Compression, and Ensemble Retrieval
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Advanced Techniques in RAG: A Deep Dive into MMR, Self-Querying Retrievers, Contextual Compression, and Ensemble Retrieval

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Exploring Text Similarity with OpenAIEmbeddings and Dot Products in Python
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Exploring Text Similarity with OpenAIEmbeddings and Dot Products in Python

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2 min read
DDoS Attack
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DDoS Attack

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1 min read
Building a Digital Sanctuary: An AWS-Inspired Journey Through Cloud Architecture and Spiritual Connections
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Building a Digital Sanctuary: An AWS-Inspired Journey Through Cloud Architecture and Spiritual Connections

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2 min read
"Omnipresence Explained: How God and Anycast IP Address Share a Common Principle"
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"Omnipresence Explained: How God and Anycast IP Address Share a Common Principle"

#anycast #networking #aws
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1 min read
Fallacies of Distributed computing Vs Human life
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Fallacies of Distributed computing Vs Human life

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1 min read
Various types of neural networks and their key characteristics:
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Various types of neural networks and their key characteristics:

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3 min read
Smart Endpoints and Dumb Pipes
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Smart Endpoints and Dumb Pipes

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2 min read
Capacity Planning AKS Azure Kubernetes Service Cluster
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Capacity Planning AKS Azure Kubernetes Service Cluster

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Microservices Architecture Using Azure Container APPS & DAPR & KEDA
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Microservices Architecture Using Azure Container APPS & DAPR & KEDA

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3 min read
Why should we use Protobuf in Web API as data transfer protocol.
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Why should we use Protobuf in Web API as data transfer protocol.

#grpc #protobuf #rest
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3 min read
Service Mesh -Microservices
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Service Mesh -Microservices

#istio #servicemesh
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DAPR Distributed Application Runtime
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DAPR Distributed Application Runtime

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4 min read
MongoDB Data Model & Microservice Architecture
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MongoDB Data Model & Microservice Architecture

#nosql #mongodb #microservices
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2 min read
Activation Functions, RNN, LLM, LangChain
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Activation Functions, RNN, LLM, LangChain

#activationfunctions #rnn #llm #langchain
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1 min read
Choosing between Retrieval-Augmented Generation (RAG) and Model fine-tuning
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Choosing between Retrieval-Augmented Generation (RAG) and Model fine-tuning

#rag #finetuning
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2 min read
Divine Transformations: An Analogy for LLM Quantization in Resource-Constrained Environments
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Divine Transformations: An Analogy for LLM Quantization in Resource-Constrained Environments

#quntization #llm
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1 min read
Pre-training, Fine-tuning, and Transfer learning. To make these ideas more relatable, let's use a real-world analogy
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Pre-training, Fine-tuning, and Transfer learning. To make these ideas more relatable, let's use a real-world analogy

#finetuning #pretraining #transferlearning
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1 min read
Discover the Future of AI with My New Book: Developing GenAI Applications with LangChain, Semantic Kernel and Powered by LLMs
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Discover the Future of AI with My New Book: Developing GenAI Applications with LangChain, Semantic Kernel and Powered by LLMs

#llm #genai #langchain #semantickernel
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2 min read
Why Upskilling is Crucial for GenAI Adoption Across the Organization
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Why Upskilling is Crucial for GenAI Adoption Across the Organization

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5 min read
Essential Skills to Become a Generative AI Developer
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Essential Skills to Become a Generative AI Developer

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3 min read
Easy way to deploy FastAPI In Azure
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Easy way to deploy FastAPI In Azure

#fastapi #azure #cloud
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Tech Jokes - GenAI
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Tech Jokes - GenAI

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Exploring the Spiritual Dimensions of LLM Architecture
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Exploring the Spiritual Dimensions of LLM Architecture

#llm #genai
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3 min read
About Me
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About Me

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