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Name: Lajat Manekar

Type: User

Bio: Fullstack Software Developer | Open Source Fellow

Twitter: LajatM9

Location: Nagpur, India

Blog: lajatmanekar.live

Hey there, I'm Lajat..

Glad to see you here!

As a full-stack developer, I am passionate about creating user-centric products that solve real-world problems.
My expertise includes JavaScript, TypeScript, and the Flutter ecosystem, and I have extensive experience developing REST APIs using backend frameworks such as Django (Python) and .NET (C#), as well as deploying them at scale using AWS and Azure cloud services.
Additionally, I enjoy challenging myself by participating in Leetcode competitions and polishing my DSA skills.
If you have any questions or would like to discuss a project, feel free to reach out to me via email: mail me.

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Projects and Dev Stuff:

⚡ Github Stats

☄️ Github Streaks

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Lajat Manekar's Projects

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

This project is all about building an Augmented Reality based ecosystem where the system emphasizes the meaning of each word appearing on the screen along with its meaning hovering above the word in a dialog box which was in fact our main objective in this project.

cp-ide

A realtime collaborative IDE with code execution, intellisense, and built-in USACO submissions.

data-science

Took some datasets from kaggle ( links will be in readme2.txt ) to work on.

dotfiles

Dotfiles for the apps

dripcheck

dsa

Data Structures and Algorithm Programs

dsa-1

eeprom

EEPROM Library for including in Arduino Calculator

etl-batch-processing

Today, big data is generated from many sources and there is a huge demand for storing, managing, processing, and querying on big data. The Map Reduce model and its counterpart open source implementation Hadoop, has proven itself as the solution to big data processing. Hadoop is inherently designed for batch and high throughput processing jobs. The term ETL which stands for Extraction, Transformation, and Loading is a batch or scheduled data integration process that includes extracting data from their operational or external data sources, transforming the data into an appropriate format, and loading the data into a data warehouse repository and Oracle data warehouse to reduce an execution time and to remove the mismanagement of metadata in an existing ETL process

google-custom-search-api

Google Custom Search API using GCP as part of a project

hacktober-open

Add any kind of open source code or program I will merge it with hacktoberfest-accepted label

hacktoberfest

A beginner friendly repository for HacktoberFest 2021

hacktoberfest-21

A mentorship initiative to help beginners kickstarting their open-source journey by completing Hacktoberfest'21 challenge | Curated list of beginner-friendly issues for Hacktoberfest 2021 | Raise PR to add your issues

hacktoberfest-practice

Repo for you to raise a Pull Request for practice

hacktoberfest2019

Happy Hacktober! :octocat: This is a beginner friendly repository made specifically for Hacktoberfest that helps you get your first PR.

hacktoberfest2021

A community-led mentorship initiative to help beginners kickstarting their open-source journey by completing Hacktoberfest'21 challenge | Curated list of beginner-friendly issues for Hacktoberfest 2021 | Raise PR to add your issues