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Vivin Jayanth A MVM
Open to opportunities

Vivin Jayanth A M

@vivinjayantham

AI & ML engineer building scalable, data-driven solutions with cloud and Python expertise.

India
Message

What I'm looking for

I am seeking an AI/ML role where I can apply model optimization, cloud platforms, and production-ready pipelines in a collaborative, impact-driven team.

I am an AI & ML engineering student focused on building scalable, production-ready machine learning solutions that deliver business impact. I bring hands-on experience in model evaluation, fine-tuning, and optimization using RLHF techniques to improve model performance.

I've contributed as a freelance AI engineer to improve model outputs by 20% and streamlined data training pipelines by curating structured datasets for scalable development. My academic work includes an AI-driven traffic congestion management system with multi-agent coordination and real-time signal adjustments.

I have practical experience with Python, Scikit-learn, YOLOv8, OpenCV, and cloud platforms (AWS, GCP), and I leverage data visualization and database tools to support end-to-end ML workflows. I have published project findings in a UGC-approved journal and hold certifications from AWS, Google Cloud, IIT Madras, Microsoft, and LinkedIn.

I thrive in collaborative, agile environments, contribute to cross-functional teams, and seek roles where I can drive innovation through applied ML solutions and cloud-native architectures.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

JU

JIT (Jayachamarajendra Institute of Technology) Visvesvaraya Technological University

Bachelor of Engineering, Artificial Intelligence & Machine Learning

Grade: 85%

Activities and societies: Treasurer, Aakruthi Design Club; NSS Space Settlement Contest (2nd place)

Pursuing a Bachelor of Engineering in Artificial Intelligence & Machine Learning with strong academic performance (85%) and hands-on projects in AI-driven systems and clustering-based recommendations.

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