abishek-as Goto Github PK

followers: 12.0 following: 13.0 repos: 19.0 gists: 0.0

Name: Abishek A S

Type: User

Company: Maersk Training

Location: Chennai, India

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from Abishek_A_S import SoftwareEngineer

class Bio(SoftwareEngineer):
    name = "Abishek A S"
    title = "Software Engineer"
    company_and_role = "Maersk Training | Software Engineer Intern"
    location = "Chennai, India"
    email = "[email protected]"
    contact = "+918825352645"
    hobbies = ["Cricket", "Stargazing", "Cinema", "Badminton", "Coding", "Games"]
    previous_experience = {
        "company": "Stryker",
        "role": "R&D Intern",
        "duration": "Sep 2022 – July 2023",
        "location": "Gurugram, India",
    }


class Skills(SoftwareEngineer):
    ProgrammingLanguages = [
        "Python",
        "TypeScript",
        "JavaScript",
        "SQL",
        "HTML",
        "Shell",
        "CSS",
        "Java",
        "C++",
        "C",
        "Ruby",
        "C#",
        "Dart"
    ]
    FrameworksAndLibraries = ["Next.js", "React.js", "Node.js", "Tailwind CSS", "Django", "Flask", "Flutter"]
    Databases = ["MySQL", "MongoDB", "PostgreSQL"]
    DevelopmentTools = ["Docker", "Visual Studio Code", "Git", "GitLab"]
    OperatingSystems = ["Windows", "Ubuntu", "macOS", "Fedora", "CentOS", "ArchLinux"]
    OtherSkills = [
        "Agile Methodologies",
        "Problem Solving",
        "Team Collaboration",
        "Technical Documentation",
        "Debugging",
        "Unit Testing",
        "Continuous Integration/Continuous Deployment (CI/CD)",
        "RESTful APIs",
        "Data Structures and Algorithms",
        "Object-Oriented Programming (OOP)",
        "Responsive Web Design",
        "Test-Driven Development (TDD)",
        "Behaviour-Driven Development (BDD)",
    ]

Abishek A S's Projects

abishek-as

README file for my repo

audio-classification-deep-learning

We'll look into audio categorization using deep learning principles like Artificial Neural Networks (ANN), 1D Convolutional Neural Networks (CNN1D), and CNN2D in this repository. We undertake some basic data preprocessing and feature extraction on audio sources before developing models. As a result, the accuracy, training time, and prediction time of each model are compared. This is explained by model deployment, which allows users to load the desired sound output for each model that is successfully deployed, as will be addressed in more depth later.

coding-fonts

dot-files

This repo contains .config files for linux

ecommerce-dashboard-cms

This project is a versatile e-commerce platform that utilizes Shadcn UI for the administration interface. It provides a centralized CMS for managing multiple vendors and stores, with automated API route generation for each. It also offers comprehensive management of categories, products, filters, and image updates.

ecommerce-store

This repository hosts the frontend component of my Ecommerce backend project. The platform showcases a diverse array of products, thoughtfully categorized and complemented by engaging billboards. Furthermore, the application seamlessly incorporates a cart feature, integrated with Stripe for efficient payment processing.

expense-tracker

java_bank_project

Simple Bank Project using Java Applets with Microsoft Office Access as a backend

neetcode-all

This repo contains practise problems of "NeetCode All" problem set

netflix-eda

The Netflix Dataset's exploratory data analysis is housed in this repository. To evaluate the pattern and extract relevant information from it, the dataset is applied to various data mining algorithms such as Naive Bayes Classifiers, K-Nearest Neighbor(KNN), and Apriori.

netflix-movie-recommendation

This repository is for Netflix movie recommendations using various content and collaborative-based methods like Word2vec, Node2vec, Sentence Transformer, MiniBatchKMeans, Cosine Similarity, Pearson's Correlation, and Singular Value Decomposition (SVD).

nextjs-portfolio

pdfprompt

PDFPrompt boasts a robust tech stack with features including real-time PDF interactivity, Stripe-powered plans, sleek UI, AI-driven responses from OpenAI, and more, all built in TypeScript for a seamless and engaging user experience.

personal-companion

The Personal Companion app has features for tracking spending, taking notes, and calculating steps. SQLite is the database, and the app is made with flutter.

portfolio

This repo contains my Portfolio

realtor

RealTor is a full-featured real estate app. Users can sign up, create, edit, and delete property listings. Profile management, sign-in options (email and Google OAuth), and easy sign-out are supported. The listing page shows property details and enables landlord contact.

strivers-a2z-dsa

taskflow

TaskFlow is a feature-rich app enabling seamless organization collaboration through kanban-style boards, lists, and cards, backed by secure authentication, activity tracking, and Stripe-based subscriptions for unlimited board access. Powered by PostgreSQL, Prisma ORM, and styled with shadcnUI and TailwindCSS.

voting-system-based-on-blockchain

A Voting system based on blockchain

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