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AI Engineer with less than a year in Machine Learning and Python for data analysis and deep learning
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Highly motivated and results-driven individual with practical experience in Machine Learning and Python. Possesses a solid foundation in data preprocessing, model building, and evaluation. Experienced in developing deep learning models for image generation and human activity recognition, leveraging libraries like TensorFlow, PyTorch, NumPy, and Pandas. Certified in Generative AI and Machine Learning, seeking to apply strong analytical and technical skills to innovative AI engineering challenges.
Alliance University
Bachelor of Technology · Computer Science
September 1, 2022 – May 1, 2026
Narayana Junior College
12th Grade
June 1, 2020 – March 1, 2022
INTRAINZ innovation
Machine Learning with Python
November 1, 2024 – January 1, 2025
India
Synthetic Medical Image Generation for Data Augmentation using GANS
May 20, 2026 – Present
This project uses GANs to generate synthetic X-ray images, improving dataset size, model accuracy, and data privacy. Developed DCGAN and CGAN models to generate synthetic X-ray images for COVID and Normal cases using deep learning techniques. Applied data preprocessing methods such as image resizing (64×64) and normalization to increased model performance and training efficiency. Enhanced dataset diversity by combining real and generated images, boosted model accuracy while maintaining data privacy.
Enhancing Human Activity Recognition: An Exploration of Machine Learning Models
May 20, 2026 – Present
This project focuses on detecting violent activities in videos using deep learning to improve real-time surveillance systems. It processes video frames in real-time using OpenCV and improves performance through techniques like transfer learning and data augmentation. The system is trained on datasets such as UCF Crime and CCTV-Fights to handle real-world scenarios. When violence is detected, it sends instant alerts with images using a Telegram bot for enhanced security and surveillance.
Oracle Cloud Infrastructure 2025 Certified Generative AI Professional
Oracle
January 1, 2025 – Present
Power BI Fundamentals
Coursera
January 1, 2025 – Present
Generative AI with Large Language Models
Coursera
January 1, 2025 – Present
Machine Learning with Python
Coursera
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a proactive approach to applying AI/ML concepts to diverse problems (medical imaging, surveillance), indicating a strong interest and drive in the field. The chosen certifications (Generative AI, ML with Python) align well with current industry trends and the target AI Engineer role, suggesting a commitment to continuous learning and staying updated. The breadth of skills, including Python, various deep learning frameworks, and data manipulation libraries, indicates a solid foundation for contributing to various AI initiatives.
Soft Skills & Operational Fit
The candidate demonstrates initiative and self-learning through diverse academic projects and certifications. Experience with basic project tools like Jira (listed in skills) suggests an understanding of structured project environments. The detailed project descriptions indicate an ability to articulate technical processes and outcomes clearly.