Headline

Machine Learning Intern | AI & Data Science | CNN, ML Pipelines, Azure | Generative AI Certified

About

I build machine learning systems that solve real-world problems, focusing on risk analysis, computer vision, and AI-driven automation. Currently working as a Machine Learning Intern in the compliance domain, where I develop risk analysis models and design scalable data pipelines using Azure. I have developed multiple end-to-end ML projects: • CNN-based weapon detection system achieving 92% accuracy • Audio-based mood prediction using feature engineering and PCA • Neural style transfer using custom CNN architectures I have also published research on AI-driven secure code review systems, analyzing ML, DL, GNN, and transformer-based approaches for vulnerability detection across datasets such as SARD and NVD. Certified in Oracle Cloud Infrastructure Generative AI, I am particularly interested in building scalable ML systems and working on real-world AI applications. I am actively seeking opportunities in machine learning, data science, and AI-driven systems.

Location

Nandyal

AI stack

hugging face

langsmith

mistral

windsurf

Work experience

Machine Learning Intern at Coinsell, Feb 2026 - Present · 5 mos, Remote, • Building machine learning models for risk analysis in compliance systems using Python and Azure Cloud • Engineering data preprocessing pipelines and feature extraction workflows for large-scale datasets • Training and optimizing models using Scikit-learn with performance evaluation using standard ML metrics • Implementing scalable ML workflows using Azure Machine Learning for automated training and deployment

Education

Bachelor of Technology - BTech, Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore

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