✨ Hello There, I am Sharath M S!
I am an App Developer/DL enthusiast🚀
I am currently in my 5 semester!
Sharath M S
Location: Bengaluru, Karnataka
Phone: +91 9901146153
Email: sharath.shashidhara@gmail.com
LinkedIn: Sharath M S
Github: Sharath-44
Education
PES University | Bengaluru
Bachelor of Technology - CGPA: 8.67/10
Date: 06/2025
Focused on in-depth technical concepts and collaborated with peers on numerous hands-on projects.
Sri Chaitanya PU College | Bengaluru
PCME (State Board) - Score: 96.1% (Boards)
Date: 06/2021
Engaged in rigorous academic coursework and extracurricular activities enhancing my analytical abilities.
Mirambika School for New Age | Bengaluru
CBSE - Score: 90.4% (Boards)
Date: 06/2019
Participated in various national level competitions and developed strong foundational skills.
Experience
IEEE Computer Society | Bengaluru
ML Intern (05/2023 - Present)
Developed a cutting-edge prediction algorithm for vehicular tire durability.
Made use of advanced techniques like K-Nearest Neighbors Regression and XGBoost.
Explored and evaluated various other machine learning algorithms for performance benchmarking.
CDSAML | Bengaluru
Deep Learning Research Intern (06/2023 - 08/2023)
Developed a state-of-the-art deep learning model using BiLSTM and BiGRU architectures.
The model was tailored for recommending songs aligned with distinct dance forms.
Achieved remarkable model accuracy with an F1 score of 0.98.
Projects
Learn-N-Fun
Co-developed an interactive e-learning platform for children below 13 years.
Promoted learning through interactive game-based activities.
Integrated Firebase for real-time data operations and enhanced app performance.
Social Media Website
Spearheaded the creation of an intuitive social media platform built on the MERN stack.
Designed user authentication, media upload, and profile viewing functionalities.
Fostered community engagement through features like "like" and real-time notifications.
Smart Dustbin
Integrated Notify API for real-time fill-level notifications.
Utilized ultrasonic sensors for garbage detection.
Enhanced operational efficiency by organizing waste collection based on live data.
Skills
Deep Learning: Proficient in designing and optimizing models for complex tasks.
Languages: C, C++, Python, and JavaScript.
Frameworks: TensorFlow, Keras, and MERN Stack.
App Development: Experienced in developing apps using Flutter and Firebase.
