Open to opportunities

VIJAY User

@vijayuser

Message

Aspiring machine learning engineer with a focus on innovative solutions.

India

Message

What I'm looking for

I seek a collaborative environment where I can innovate and grow.

I am a dedicated and passionate machine learning engineer currently pursuing my Master's in Computer Application at MIT-World Peace University. My academic journey has equipped me with a solid foundation in machine learning, data structures, and algorithms, complemented by hands-on experience in developing innovative solutions. I thrive on challenges and enjoy leveraging technology to solve real-world problems.

During my internship at Bhabha Atomic Research Centre, I designed a machine learning-driven defect detection system that achieved an impressive 95% precision in identifying pipe defects. My projects, including a crop yield prediction model and an IoT-based traffic density detection system, showcase my ability to apply machine learning techniques to diverse domains. I am eager to contribute my skills and knowledge to impactful projects that drive technological advancement.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Intern

Current

Bhabha Atomic Research Centre

Jan 2025 - Present (5 months)

Designed and implemented a machine learning-driven defect detection system for industrial pipelines using computer vision and deep learning frameworks. Achieved 95% precision in identifying pipe defects and reduced manual inspection time by 30%.

Machine Learning Computer Vision OpenCV Deep Learning Anomaly Detection Python Data Analysis Team Collaboration Problem Solving Software Development

Crop Yield Prediction Model

MIT-World Peace University

Aug 2024 - Nov 2024 (3 months)

Built a machine learning model using 10+ years of agricultural data, achieving 92% accuracy, which could potentially increase crop yield by 15% for optimized selections.

Machine Learning Python Pandas NumPy Data Analysis Agricultural Data Problem Solving

Traffic Density Detection System

MIT-World Peace University

Oct 2023 - Jan 2024 (3 months)

Developed an IoT-based project to detect traffic density and control traffic lights based on real-time data analysis, utilizing Raspberry Pi and other hardware components.

IoT Raspberry Pi Data Analysis Python Hardware Development Problem Solving Innovation Team Collaboration

College Admission Predictor

Vidyalankar School of Information Technology

Jan 2023 - Mar 2023 (2 months)

Developed a linear regression model to predict college admission chances based on caste and academic marks, creating a user-friendly web tool for interaction.