Mayank Singh

Kanpur

Summary

A problem-solving individual focused on solutions, eager for opportunities within the forefront of the tech industry. Proficient in coding, debugging, and system design, with a track record of creating efficient programs and enhancing existing software systems.

Overview

years of professional experience

Work History

Internship

Phemesoft Pvt Ltd

01.2024 - 04.2024

Full-time Project Internship, partnered by IBM. Worked on two projects: Realistic Virtual Try-on experience for clothing, and Generate Realistic images of building and cityscapes.

Both projects were centered around machine learning and deep learning methodologies.
Skills attained: Python, deep learning models, PyTorch, TensorFlow transfer learning, transformers, image segmentation, GANs, etc.

Operations Executive

infosys

Pune

11.2020 - 07.2022

Full-time experience in automation and manual testing, utilizing Selenium and Cypress. Additionally, served in a Quality Assurance role for international clients.

As a Manual and Automation Tester, I developed over 200 test plans and test cases.
Executed test cases across 15+ functional areas, beating team efficiency averages against work-completion deadlines.
Accomplished as a QA Tester, performed production deployments, and regression test cases.
Automation of 55+ regression test cases with help of cypress for prod testing. commands

Education

MCA - Computer Applications

University of Petroleum And Energy Studies

Dehradun

06-2024

BCA - Computer Applications

Chhatrapati Shahu Ji Maharaj University

Kanpur, India

06-2017

Skills

Java
C
Python
Selenium
SQL

Front-End Skills: HTML, CSS
Javascript
Cypress
Machine Learning
Deep learning

Projects

Smart Attendance Tracking and Activity Recognition System(SATARS) :

Presented a paper on SATARS in ICICCT 2024 held at JNU.
Our system involved various techniques using deep learning that accurately recognized the faces and activities of students.
The attendance system is divided into two components: one face recognition system and another activity tracking system
Identification of individual face is done by using insight-face and cosine similarity and there activities are identified with help of LSTM
The proposed (SATARS) system has been capable of recognizing faces with an accuracy of 94% and activities recognized in real-time for multiple students simultaneously
Skills attained: Python, tensorFlow, pytorch, InsightFace Deep face model, LSTM model, Yolo, Mathematical Algo such as cosine similarity

Travelling Website

The project focuses on showcasing an interactive travel website where people can register and book tickets. Using HTML, CSS, JS and PHP we were able to build a working website.
Customer can view and book different tours/packages present DB.
Data is then validated with various validation functions that run-in backend.
If all validations are successful, the customer's tickets are booked; otherwise, it displays the appropriate error.
Website also has an interactive cursor that engages the customers to spent more time.
Skills attained:HTML5, CSS3, PHP, SQL, Javascript, Appache.

Timeline