Hemendra Sharma

Hemendra Sharma has a diverse work experience in the field of technology, with a focus on product engineering and blockchain development. They started their professional journey as a Frontend Developer intern at YAV Technologies in July 2020. In 2021, they gained experience as a Software Developer Intern at Festo Technologies. The following year, in 2022, they took on the role of a Blockchain Developer intern at Instadapp and later became a Technical Lead at IoThinC - VIT. They also worked as a Full Stack Blockchain Developer at Cryption Network for a significant part of 2022. Most recently, in 2023, Hemendra joined SquadStack as a Product Engineering Intern. Overall, Hemendra's work experience showcases a strong foundation in software and blockchain development.

Hemendra Sharma pursued a Bachelor of Technology (BTech) degree in Computer Science with specialization in IoT at VIT_Vellore Institute of Technology from 2019 to 2023. In addition to their formal education, they obtained various certifications in the field of technology and data science. These certifications include "Introduction to Cyber Security" and "Pre Security" from TryHackMe in December 2022, "Master Django REST Framework with Docker, Dev to Production" from Udemy in November 2022, "Data Manipulation with Pandas," "Introduction to Data Science in Python," and "Introduction to Data Visualization with Seaborn" from DataCamp in October 2022. Hemendra also completed "Modern GraphQL with Node - Complete Developers Guide" and "Practical IoT Concepts-Devices, IoT Protocols & Servers" on Udemy in June 2022, "Decentralized Finance (DeFi) Primitives" and "Ethereum and Solidity, The Complete Guide for Developer" in May 2022, "Decentralized Finance (DeFi) Infrastructure" in January 2022, "Competitive Programming" from Coding Blocks in December 2021, "AWS Academy Graduate - AWS Academy Cloud Foundations" from CT University AWS Academy and "AWS Certified Cloud Practitioner" from Amazon Web Services (AWS) in August 2021, "DeepLearning.AI TensorFlow Developer Specialization," "Sequences, Time Series and Prediction," "Spoken Language Processing in Python," "Getting Started with AWS Machine Learning," "Natural Language Processing in TensorFlow," and "Introduction to Deep Learning in Python" from Coursera between July and June 2021.