Abhishek Singh

Summary

Possesses versatile skills in project management, problem-solving, and collaboration. Brings fresh perspective and strong commitment to quality and success. Recognized for adaptability and proactive approach in delivering effective solutions.

Overview

year of professional experience

years of post-secondary education

Work History

Software Developer

Cero Smart Mobility Private Limited

10.2024 - Current

Focused on backend development for a Charging Management System project, enabling efficient operation and management of EV charging stations
Developed a Threat Model Tool for Microsoft with respect to CMS(Charging Management System)
Designed and implemented a comprehensive web application for EV charging station management, incorporating schema design, REST API, and wallet functionality for seamless payments

SQL Intern

Celebal Technologies

03.2024 - 09.2024

Assisted with DB management and SQL projects by extracting, manipulating, and analysing database
Worked with team on design, development and integration of real-time analytic solution

Education

BTECH -

Noida Institute of Engineering and Technology

01.2020 - 01.2024

Senior Secondary School - undefined

Sushant Public School

01.2017 - 01.2019

Secondary School - undefined

St. Xavier's Jr/Sr School

01.2016 - 01.2017

Skills

Python

Projects

Charging Management System, CMS is designed to cover end-to-end requirements for charge point operators, fleet operators, workplaces, and the community., It is a scalable system for managing EV charging stations, designed for both station administrators and end-users., The application offers the possibility to view, change, and manage configuration settings and detailed information of charge points and charge transactions. SMS Spam Classifier, Developed a machine learning project for classifying spam SMS, utilizing advanced algorithms for accurately classifying spam and non-spam SMS messages, enhancing cybersecurity measures., Leveraged MLFlow for efficient model registry, tracking, and management, ensuring a robust end-to-end lifecycle of the predictive model., Implemented and evaluated various machine learning algorithms. Restaurant Staff Management System, Efficient Restaurant Administration with Node.js and MongoDB CRUD Operations., Built a Smart Inventory Management System for Restaurants using Node.js and MongoDB., Responsibilities included designing and implementing RESTful APIs, integrating databases.

Timeline