Name: Neelanjan Manna
Type: User
Company: @Harness
Bio: Software Engineer II @harness | OSS Maintainer @cncf @litmuschaos | LFX Mentor @litmuschaos | React, Golang, Kubernetes, Cloud Foundry.
Twitter: NeelanjanManna
Location: Bangalore, India
Blog: neelanjan.dev
Neelanjan Manna's Projects
Sample kubectl plugin
Sock-Shop application manifest
A full-duplex multi-user chat application developed using web sockets via Socket.Io in Node.js
A web application for visualising Bubble Sort, Insertion Sort, Selection Sort, Merge Sort and Quick Sort. The application is developed in next.js application developed along with react.js for server side rendering of react js application for improved SEO and support for hardware resources constrained devices. The codebase is written in Typescript instead of Javascript for better code understandability and maintainability.
We want to build open-source solutions and standards for using AI to solve mental health challenges. The goal is to apply DPI knowledge and practices that can help professionals deeply explore and understand the latest advancements in AI and how they can be applied to use-cases in mental health specific to India.
📨🚚CNCF App Delivery TAG
Python code for detection of datamatrices using OpennCV, Pylibdmtx. Part of the prototype for the TATA Crucible Hackathon 2021.
React.js web application for the admin panel web UI of the product registration dashboard. Part of the prototype for the TATA Crucible Hackathon 2021.
A set of containerized applications, workload generators that will be consumed by openebs/e2e & openebs/litmus
A Single Page Application (SPA) made using AJAX, jQuery, Bootstrap, and JavaScript that serves as a daily to-do list.
Translate U is capable of translating the text present in an image from one language to the other. The app uses OCR and Google translate to identify and translate across 80+ languages.
Translate U is capable of translating the text present in an image from one language to the other. The app uses OCR and Google translate to identify and translate across 80+ languages.
Consists of codelabs to perform standard user flows for LitmusChaos
Documentation for the Litmus Project
Kubernetes website and documentation repo:
An implementation of YOLO object detection deep learning algorithm, trained using Microsoft's COCO dataset and coded using TensorFlow framework for ML.