Devansh Rathor
Summary
Eager and data-driven, I am dedicated to excelling in Research and Development (R&D), particularly within the dynamic realm of Artificial Intelligence and Machine Learning (AI/ML). Armed with proficiency in several programming languages and technologies, I have a proven track record of translating complex ideas into practical AI/ML solutions. My ability to collaborate across multidisciplinary teams and effectively communicate technical concepts positions me as a reliable contributor to groundbreaking projects. With a deep passion for innovation, I am ready to make meaningful contributions to the forefront of AI/ML within an organization that shares my commitment to pushing boundaries.
Experience
Frontend Developer
Trikon EcosystemsJun 2023 – Present- Develop intuitive and easy to use frontend UI for the various service offered by Trikon
Vice-Chairperson of Technical Department
DJSCE ACM SIGAI Student ChapterJan 2023 – Present- Leading a team of 5 co-committee members
- Responsible for overseeing the chapter's technical goals and activities
- Ensure an accessible access to education and skill building in fields of AI&ML
Co-Head InfoTech (Web)
DJSCE ACM Student ChapterOct 2022 – Present- Designed and developed responsive and dynamic websites for the chapter
- and the chapter's events like Line of Code Hackathon and Internship Fair
- The Intership fair website recieved over 2000 individual applications from nearly 400 students
Education
B.Tech in Artificial Intelligence and Machine Learning
Dwarkadas J. Sanghvi College of EngineeringJan 2022 – PresentCGPA: 9.07BS in Data Science and Applications
Indian Institute of Technology, MadrasJan 2022 – PresentCGPA: 9.5A-Levels, Science
B. K. Gadia A-Levels Junior CollegeJun 2019 – May 2021Grade: AIGCSE, Science
D. G. Khetan International SchoolJun 2009 – May 2019Grade: AProjects
Image Classifier App using PyTorch
UdacityNov 2022 – Feb 2023- Capstone project for AI Programming in Python Nanodegree from Udacity
- A Command-line application to train a neural network on a given image database and save the model
- And then use the saved model to predict and classify new images
- Built using Python with PyTorch
Mathematical Modelling of Tourism
Cambridge IPQMar 2020 – May 2021- Research project during A-levels for Cambridge International Project Qualification (IPQ)
- Designed and coded a reinforcement learning model to simulate tourism in several cities worldwide.
- Uses several statistical techniques to ensure accuracy of the model.
- Built using Python and Google Maps API