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followers: 14.0 following: 45.0 repos: 123.0 gists: 0.0

Name: Subham Kundu

Type: User

Company: HTCD

Bio: Tech- Geek who believes in generalization rather than specialization.

Blog: Email: [email protected]

Hi there 👋

Welcome to my Profile

I’m currently working as Principal AI Engineer focused mainly on building scalable AI solution.
My expertise is in building production grade AI products.
My research and innovations comprises of making LLMs compute efficient and using creating low-latency inference stack.
I am also working on the reliability and security of LLMs' and deployed various guardrails to make LLMs more secure.
Applied Machine Learning, Statistics and NLP is something in which I keep myself updated.
📫 How to reach me: https://www.linkedin.com/in/subham-kundu-2746b515b/

Welcome to my Profile.

I have completed my bachelor's in Electronics and Communication Engineering from the Institute of Engineering and Management, Kolkata. I believe in continuous learning and try to find out real-life applications of whatever knowledge I have gained. I love to read scientific articles and try to keep myself updated with the latest technologies that is flourishing around the world.

I love to read books and gain insights and ideas into various domains from hardware to software.

I am a great fan of parallel processing and optimizing stuffs and I always try to explore and create application which can be made with limited power resources or I can say an application which can be cumulatively built.

Subham Kundu's Projects

5ghackathon

This is the software stack for low-latency real-time video inferencing in a edge server

agentkit

Starter-kit to build constrained agents with Nextjs, FastAPI and Langchain

airflowwithneo4j

This is a hands on project on apache airflow and neo4j

aks-kubernetes-cluster-creation-automation

This is a sample code for automating the kubernetes cluster creation along with option for creation and pushing of images in Azure Container Registries

aks_kvs_etcd

Install an Scalable ETCD database in Azure Kubernetes Service

applied-ml

📚 Papers & articles of companies sharing their work on applied data science & machine learning.

asyncllminferenceaws

In this project, I have created an async inference in SageMaker that queues incoming requests and processes them asynchronously.

autoscalingkubernetes-handleheavytraffice

This is an demo project for autoscaling an app deployed in Kubernetes using nginx Ingress Controller and heavy traffic is simuated using locust

awesome-automl

Curating a list of AutoML-related research, tools, projects and other resources

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-courses

List of awesome university courses for learning Computer Science!

awesome-deep-learning-papers

The most cited deep learning papers

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-mlops

A curated list of references for MLOps

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

awesome-tensorflow-2

👉 Tensorflow 2.x resources such as tutorial, blog, code and videos

awesome_ai4eda

aws-codepipeline-lab-repo

Cloud lab resources for the " Working with AWS CodeBuild, CodeDeploy, and CodePipeline" lab on Educative.

awslambdawithapigateway

This is a serverless framwork for creating api end points and storing information in AWS DynamoDb

azurefaceapi

How to use Azure face-api to build an face verification system.

azureiot

The code snippets for Azure IOT

bankingsystemsqlandpython

basiclinuxcommands

This is one place where you can find all the commands needed to start with LInux. These commands I have collected when I eventually started Linux for the first time.