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anishdutta/README.md

Bonjour! , I'm Anish!

About Me ๐Ÿš€

I'm a Bengaluru-based software developer specializing in backend engineering. With a strong programming background, I'm passionate about creating innovative solutions to real-world challenges.

I have extensive experience in building robust and scalable software applications. Proficient in Java, Python, and JavaScript, I'm well-versed in frameworks like Node.js and Django. From designing architecture to implementing intuitive user interfaces, I excel in full-stack development.

๐Ÿ‘‡ Hit in your console/terminal to connect with me.

npx anish

๐— ๐˜† ๐—ง๐—ฒ๐—ฐh ๐—ฆ๐˜๐—ฎ๐—ฐ๐—ธ

React


Express


MySQL


Flutter


Android Studio


Wordpress


๐—š๐—ถ๐˜


Serverless


Google cloud


Node.js


Firebase


AWS


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Anish's github stats Top Langs

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  1. C19Watcher C19Watcher Public

    C19 Watcher is an application that is suitable for Post Pandemic work Environment. Our Goal is to achieve a safe work Environment where all the social norms such as Social Distancing, Wearing a Masโ€ฆ

    Dart 3

  2. We-Care We-Care Public

    In India we have more the 40 lacs NGOโ€™s which estimates around 3 NGOโ€™s per 1000 people that constitutes double the number of schools according to CSO of India. NGOs being the most vital sector of tโ€ฆ

    HTML 1

  3. Voice4Mutes Voice4Mutes Public

    Our project is inspired by the current scenario/status of speech and hearing impaired people and how the biggest challenges faced by them are lack of social interaction, language and communication โ€ฆ

    CSS 3

  4. in-memory-cache-TS in-memory-cache-TS Public

    A In-memory Cache System Design with TypeScript using LRU eviction policy

    TypeScript

  5. attendence-system-design attendence-system-design Public

    This is an API-based system for managing the check-in and check-out times of instructors, along with generating monthly reports. The system is built using Express.js with TypeScript and Node.js, anโ€ฆ

    TypeScript

  6. vector-search-rag vector-search-rag Public

    Backend API service that interacts with a deployed large language model (LLM) to process questions and return answers, specifically using a Retrieval-Augmented Generation (RAG) model for enhanced rโ€ฆ

    Python