About

Amardeep Saini is a skilled Full Stack Engineer currently working as a Software Engineer at Standard Chartered GBS. He holds a Minor degree in Computer System and a major in Economic Sciences, along with several courses in Machine Learning. With over 4 years of experience in programming languages, he is confident in quickly learning new technologies and making an immediate contribution. Amardeep has experience in Microservice Architecture, DevOps Engineering practices, React, NodeJS, Java, and Maven projects. He has delivered 6 major projects across frontend, backend, including CI/CD & cloud automation for deployment, and has handled 4 projects as development lead and 6 projects with over 80% contribution. He has also derived 2 sessions for innovation in labs. Amardeep has experience in Dockerization of applications, having initiated the dockerizing of client & server baseCodes and a blockchain service. He has created reusable base images having an environment for NodeJS and Java apps. He has also created boilerplates, having redux-saga, auth, ORM, API Layers & unit tests, and worked on a yeoman generator for generating codebase & custom Dockerfile. Amardeep has worked on databases such as MongoDB, PostgreSQL, elastic-search, and blockchain databases. He has created a quorum blockchain network for file’s hash & payment transaction. He has also implemented a unit test framework in the React app, achieving 95% test coverage, and introduced and implemented TDD approach for development. Amardeep has focused on best practices, including modular, reusable & testable code. He has implemented TypeScript, redux-saga, testing frameworks, and containerization. In his previous role at Chipmonk Technologies Private Limited, Bangalore (The IoT and AI Company), he designed a solution for detecting the complete network of occupied & unoccupied chairs w.r.t floormap in a random office. He implemented the YOLO-v3 algorithm for image classification & localization, and transformed the obtained networks to create a virtual matrix. He also improved runtime further with a 5.24% reduction to 61.17 sec for 1 feed of input data of 4 cameras while running on a non-GPU processor. He received an Internship Excellence Award for exhibiting extraordinary skills and in recognition of hard work and sincerity. Amardeep's educational background includes a Bachelor of Science in Economics from the Indian Institute of Technology, Kanpur. He also holds a XII degree in Science from Jawahar Nav