abhi460729,Abhishek Verma,abhiverma4607,github

Hi there! I'm Abhishek Verma 👋

Welcome to my GitHub profile! I am a passionate data-driven software development engineer with a strong background in full stack development, data science, machine learning and cloud computing tracks. Skilled in Java, Python, JavaScript, and SQL, with expertise in frameworks like Machine Learning, Data Science, SpringBoot, Hibernate, ReactJS and Kafka. Experienced in delivering scalable solutions and collaborating effectively with multidisciplinary teams.

I am currently expanding my knowledge and staying at the forefront of emerging technologies and industry best practices.

🚀 Expertise

Programming Languages: Java, Python, JavaScript, SQL
Frameworks: Machine Learning, Data Science, SpringBoot, Hibernate, ReactJS, Kafka
Databases: MySQL, Elasticsearch, Cassandra
Cloud Technologies: Amazon Web Services (EC2, S3), Google Cloud Platform, Docker, Kubernetes
Tools and Libraries: Git, Docker, Postman
Architectures: Monolith, Microservice

Let's Connect

You can find me on:

Feel free to reach out to me for collaborations, discussions or just to get in touch! 😄

My Coding Profiles

Abhishek Verma's Projects

signature-verification_system_using_yolov5-and-cyclegan

An end-to-end signature verification system to extract, clean and verify signatures in documents. Signatures are detected using YOLOv5. Noise is cleaned using a CycleGAN approach and verified. Keras / Tensorflow / PyTorch

spring-boot-micro-services

Micro services build using Spring Boot

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

system_design

Preparation links and resources for system design questions

the-complete-faang-preparation

This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.

trustable-or-fraud-employee-detector

Using Linear Regression and Polynomial Regression on the preprocessed data to judge if the new employee to be hired is trustable or not based on the correctness of the salary in the prior industry as stated by the employee.