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Hi 👋, I'm Abhishek

🚀A passionate Software developer

Coding

🚀 About Me

I'm Abhishek Ashish, a passionate and dedicated Software Development Engineer with a recent B.Tech in Computer Science Engineering from the Rajiv Gandhi Institute of Petroleum Technology (RGIPT) [An Institute of National Importance along the lines of IITs]. I am actively seeking software-related roles where I can apply my skills and knowledge to real-world projects.

Currently, I'm interning at IPexcel as an SDE intern, where I continue to hone my skills and contribute to impactful projects.

During my internship at Techila Global Services as a Salesforce Developer, I developed and customized Salesforce applications, improving processes for over 200 users and implementing workflows that reduced manual tasks by 30%. I also assisted with user setup and security settings.

My technical expertise spans various programming languages and technologies, including C++, Python, React, Salesforce, JavaScript, HTML, CSS, Node.js, Express.js, Flask, PostgreSQL, TypeScript, Golang, AWS, Docker and Git/GitHub. I also possess a basic understanding of AI and machine learning concepts, which I am eager to develop further.

My strong problem-solving abilities are demonstrated by several achievements: securing an AIR of 19506 in JEE Advanced 2020, ranking 18 in Convolve Epoch 1 conducted on Kaggle by Cisco, securing ranks of 1577 in Google Kickstart 2022 round H and 4369 in round E, and achieving a rank of 351 in Newton’s Coding Challenge. Additionally, I hold the title of "Mountaineer" in Salesforce Trailblazer.

I am also excited about Open Source development and have started exploring this world.

📫 How to reach me: [email protected]


Profile Visits

Languages and Tools:

react tailwind nodejs express graphql

mongodb mysql postgresql docker aws django flask linux postman git

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Abhishek Ashish's Projects

blogifyr icon blogifyr

Blogifyr is a modern web application for managing and publishing blog posts. It offers an intuitive interface for creating, editing, and deleting posts, along with customizable themes for personalized viewing. Built with responsiveness in mind, Blogifyr ensures a seamless experience across devices.

crowd-anomaly-detection icon crowd-anomaly-detection

In this project, we propose a novel method for unusual human activity detection in crowded scenes. Specifically, rather than detecting or segmenting humans, we devised an efficient method, called a motion influence map, for representing human activities.

filmify icon filmify

A front-end clone of Netflix built from scratch using React JS.

hemo-life icon hemo-life

In this project a webpage is designed enabling users to locate the nearest blood bank and access information about available blood types at each facility. Incorporated a feature for blood banks to daily update their stock availability on the platform.

portfolio. icon portfolio.

Created an interactive 3D animation website using Three.js, showcasing my personal projects. Implemented adaptive scaling and positioning techniques for seamless user experience across devices. Introduced touch rotation for 3D elements on smaller devices and integrated EmailJS for contact functionality.

sanity-test icon sanity-test

In this project a classification model was built to predict if a sanity test case will fail on the platform for a given combination of attributes when a particular file is changed. The model is enhanced to identify the scenarios which have a very low probability of failure for the change in a particular set of files.

taskwebapp-frontend icon taskwebapp-frontend

This frontend application built with Angular serves as a robust task management system designed to streamline task organization and tracking. It features CRUD (Create, Read, Update, Delete) operations for tasks, advanced filtering and sorting capabilities, dynamic user interface components using Angular Material, and seamless integration with backe

tweets-clustering icon tweets-clustering

The project includes implementation of K-means algorithm (an unsupervised learning algorithm) without using any libraries. The Objective of this project is to cluster the similar tweets based on similarity of words within the sentences.

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