Summary
Overview
Work History
Education
Skills
Accomplishments
Projects
Timeline
Generic
Muhammad Suarim PK

Muhammad Suarim PK

Bengaluru

Summary

As a passionate third-year undergraduate student specializing in Data Science, I am deeply committed to exploring and gaining experience in the dynamic fields of Artificial Intelligence, Machine Learning, and DevOps. My enthusiasm for these cutting-edge domains drives me to not only utilize my skills but also to bridge the gap between theoretical understanding and real-world application through hands-on projects. I am dedicated to continuous learning, with a focus on staying abreast of the latest advancements, and am eager to contribute to the integration of AI/ML with DevOps practices. My goal is to foster innovation, improve efficiencies, and develop scalable solutions that address complex challenges in these rapidly evolving fields.

Overview

2
2
years of professional experience

Work History

Intern

Samsung Prism
Bengaluru
08.2023 - 08.2024
  • Created a combined model from a depth estimation model and a pose estimation model to accurately estimate the camera motion.
  • Latency less than 20ms
  • Accuracy well within the range mentioned in the base paper.

Intern

Bharat Intern
Bengaluru
01.2023 - 01.2023
  • Created 3 web-based projects:
  • Portfolio
  • Netflix Clone
  • Temperature Converter.

Education

B.E. - Artificial Intelligence and Data Science

MS Ramaiah Institute of Technology

Skills

  • SQL
  • MongoDB
  • Python
  • Java
  • C
  • React
  • Docker
  • Ansible
  • AWS
  • Opencv
  • HTML5
  • CSS
  • JavaScript
  • Nodejs
  • Neural Networks
  • Kubernetes

Accomplishments

JPMorgan Chase & Co. - Code for Good

The project focused on automating the removal of Lantana plants, which are invasive species that threaten local ecosystems. It included a streamlined system for easy employee allocation to carry out various tasks such as removal, storage, and production processes.

We leveraged YOLOv8 to evaluate various products manufactured during the project, ensuring that each product met optimal quality standards, thus increasing precision and overall effectiveness.

Additionally, the project developed a method to easily record and store detailed Lantana hotspots, identified by volunteers and verified using a Convolutional Neural Network (CNN) model, improving the accuracy of eradication efforts.

Finally, we created an eCommerce platform dedicated to selling products, such as handcrafted Lantana elephants, derived from the removed Lantana plants, turning an environmental challenge into a sustainable business opportunity.

Gameathon 2023 - Winner in Best Storyline

We developed a two-level game that earned us the award for Best Storyline at Gameathon 2023. Our game featured an isomorphic first level, providing a consistent challenge that set the stage for players, while the second level introduced a distinct structure, offering a fresh and engaging twist to the gameplay. Every sprite and piece of music in the game was meticulously handcrafted by our team, ensuring that every aspect of the game was unique and added a personal touch. This attention to detail and creativity helped our game stand out and resonate with both players and judges alike.

Projects

  • PILS - Learning Platform for Deaf and Mute Children: Developed a specialized learning platform that leverages YOLOv8 and Holistic MediaPipe to create an interactive and accessible learning environment for deaf and mute children.
  • Applications of CNN in Various Fields: Conducted extensive research on the applications of Convolutional Neural Networks (CNNs) across different domains. The work was published and featured in the top 15 papers at the ICTCS conference.
  • Chat App: Created a real-time chat application using WebSockets, Node.js, and React, enabling seamless and efficient communication between users.

Timeline

Intern

Samsung Prism
08.2023 - 08.2024

Intern

Bharat Intern
01.2023 - 01.2023

B.E. - Artificial Intelligence and Data Science

MS Ramaiah Institute of Technology
Muhammad Suarim PK