Atharva Jibhakate

MIT World Peace University, Pune

2018 - 2022

B.Tech, Computer Science and Engineerning

Subjects: Data Structures and Algorithms, Operating Systems, Object Oriented Programming, Databases & SQL.

Google DSC MIT World Peace University

Dec'2020 - Present

Team Member

• Conduct google based events like #30DaysOfGCP which promotes learning of new technologies in an innovative way.
• Google DSC conducts various inter-college and intra-college hackathons for to help students upskill.
• Google DSC also conducts various coding competitions and events which proliferate the competitive coding atmosphere among the students!

The SCRIPT Group

Sept' 2019 - Oct' 2020

Organizer

• Conducted various events and workshops to introduce students to latest technologies.
• Organized coding competitions like Codex for students.
• Managed the Social Media Traffic for the club on various professional and non-professional platforms.

Applus+ IDIADA

Mar'2021 - Jun'2021

Full Stack Developer Intern

As an intern, I worked on 1 Major and 3 minor projects where we automated the manually conducted tasks in the automotive industry.

This involved web portal development, data visualization tasks and working with machine learning algorithms.

Core technologies worked with were Django, Microsoft Azure, Power Automate, Tensorflow and PowerBI.

AUTWN Pvt. Ltd.

Nov'2020 - Jan'2021

Machine Learning & Django Intern

This was a WFH internship in which I am, along with my colleagues, worked on an Back to business solution which provides complete safety of the employees/children/staff who would return to the offices/schools in these covid times.

Features like Facial based attendance, IOT based data collector for temperature, SPO2 readings, User Management system, etc. were the highlights which I worked upon.

This solution was further implemented across India, mainly in cities of Mumbai, Delhi & Pune.

Ai-Adventures

Jan'2020 - Mar'2020

Machine Learning Intern

Worked on a industry based deep learning application which was related to finance domain. This project was used for analyzing the trends in the gross rate of stocks of certain companies and was predicting the future growth/downfall of the stock based on conditions provided.

Created material for a computer vision workshop which was organized at MIT-WPU, Pune.

Skin Lesion Classification using Deep Learning and Image Processing

IEEE Xplore

Mentor: Dr. Shamla Mantri

The research was based on using deep learning and AI for lesion classification to identify early trends of Skin Cancers. Various transfer learning met hods were researched upon to make a reliable lesion classification application. The paper was presented in 3rd International Conference of Intelligent and Sustainable Systems and was published in IEEE Xplore. No. of Authors: 4