Machine Learning Engineer
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B.Tech in Artificial Intelligence and Machine Learning with expertise in Python, machine learning, and computer vision. Experienced in building AI-powered solutions including Face Recognition Voting System, Automatic Crop Recommendation System, and Visual Hertz (AR-based transcription). Skilled in TensorFlow, PyTorch, Flask, and OpenCV, with hands-on knowledge of real-time data processing, model deployment, and edge computing.
Seeking opportunities in AI/ML development, embedded software testing, or AI-driven automation to create scalable and impactful solutions.
Currently working as an AI Lab Intern at WorldQuant (Apr 2025 – Present), focusing on deep learning for computer vision.
Developing a CNN using PyTorch to classify wildlife images into multiple categories.
Responsible for image preprocessing, tensor operations, and model optimization (convolution, pooling, normalization).
Gaining practical experience in deploying computer vision models in real-world applications.
B.Tech in Artificial Intelligence and Machine Learning (2021–2025)
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
CGPA: 7.77/10
Focused on machine learning, deep learning, computer vision, and AI-driven solutions with hands-on experience in real-time model deployment and intelligent systems.
