Abhuday Sudhir
@abhudaysudhir
Aspiring ML Engineer with hands-on experience in neural networks.
What I'm looking for
I am an aspiring ML Engineer with a strong foundation in algorithms and data structures, and hands-on experience in building neural networks and deploying real-time vision systems. My proficiency in Python and popular ML frameworks like scikit-learn and TensorFlow has enabled me to work on innovative projects that enhance user experiences and improve system efficiencies.
One of my notable projects is Drowsguard, a real-time drowsiness detection system that achieved over 80% accuracy in detecting driver fatigue. By optimizing model performance and applying Transfer Learning techniques, I significantly improved the system's responsiveness. Additionally, I engineered a sentiment analysis model for YouTube comments that boosted prediction accuracy by 40%, demonstrating my ability to leverage NLP for practical applications.
As I pursue my Bachelor of Technology in Computer Science and Engineering, I actively engage in competitive programming and contribute to coding clubs. My commitment to continuous learning is reflected in my certifications in Data Science and Machine Learning, as well as Natural Language Processing. I am eager to bring my skills and passion for machine learning to a dynamic team.
Experience
Work history, roles, and key accomplishments
Deep Learning Developer
Abhuday Sudhir
Jun 2025 - Present (0 months)
Developed a neural network from scratch using NumPy, implementing core ML concepts like forward/backward propagation and gradient descent, achieving 95.2% test accuracy on the MNIST dataset. Trained on 60,000+ handwritten digit images using mini-batch gradient descent, reducing training error by over 90% and demonstrating a solid understanding of deep learning fundamentals.
ML Engineer (Drowsguard)
Abhuday Sudhir
Nov 2024 - Present (7 months)
Built a real-time drowsiness detection system using CNN, processing 5000+ images, resulting in over 80% accuracy in detecting driver fatigue. Optimized model performance and reduced inference time by 30% through fine-tuning and feature engineering on a dataset of 5000+ labeled facial images, improving real-time responsiveness of the alert system.
Coordinator
Tachyon, BITWISE Coding Club
Nov 2024 - Present (7 months)
Planned and scheduled the execution of various coding workshops and technical talks for the club. Coordinated Codeathons, ensuring smooth operations and successful event delivery.
Sentiment Analysis Developer
Abhuday Sudhir
Jul 2024 - Present (11 months)
Engineered a sentiment analysis model for YouTube comments using pretrained embeddings, which boosted prediction accuracy by 40% and enabled content teams to enhance user strategies, increasing engagement by 25%. Integrated NLTK and Scikit-learn in a Flask app to classify comments into positive, negative, or neutral, achieving 70% accuracy.
Volunteer
Computer Society of India (CSI), BITWISE Coding Club
Jan 2023 - Present (2 years 5 months)
Attended coding workshops and technical talks, actively participating in club activities. Secured 5th place in Codeathon 1.0, demonstrating strong problem-solving and competitive programming skills.
Education
Degrees, certifications, and relevant coursework
Jaypee University Of Engineering And Technology
Bachelor of Technology, Computer Science and Engineering
Grade: 7.7 CGPA
Activities and societies: Volunteer for the Computer Society of India (CSI) and BITWISE coding club, attending coding workshops and technical talks, and securing 5th place in Codeathon 1.0. Coordinator for Tachyon and BITWISE coding club, planning and scheduling coding workshops, technical talks, and Codeathons.
Currently pursuing a Bachelor of Technology in Computer Science and Engineering. Focusing on core computer science principles and engineering applications.
St. Conrad’s Inter College
High School Diploma, General Studies
Grade: 91.25%
Completed Class 12th (ISC) with a strong academic performance. Focused on general academic subjects.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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