Dynamic Research Assistant at Ramrao Adik Institute of Technology, adept in Python programming and machine learning. Successfully organized research materials and facilitated project timelines, enhancing productivity and quality. Demonstrated strong adaptability while collaborating with teams to overcome challenges, ensuring timely completion of high-impact projects.
Artificial Intelligence specialist with strong background in machine learning, data analysis, and algorithm development. Known for effective collaboration, adaptability to evolving project needs, and delivering impactful solutions. Skilled in Python, TensorFlow, and natural language processing, with keen focus on driving team success and achieving tangible results. Reliable and flexible, consistently contributing to high-performing teams.
Python Programming
ATC Project
Full-Stack Animal Type Classification (ATC) System
Designed and implemented a full-stack web application for automated livestock evaluation using Deep Learning and Computer Vision.
Built and deployed AI models with Python, TensorFlow/PyTorch, achieving 92%+ classification accuracy.
Developed backend APIs using FastAPI/Flask and integrated with a React/Node.js frontend for user interaction.
Implemented MLOps workflows (Docker, GitHub Actions, MLflow) for model versioning, deployment, and monitoring.
Improved evaluation consistency by reducing human error and enabling real-time animal trait assessment.
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