Highly motivated AI/ML engineer with a proven track record of developing AI-powered diagnostic systems for early disease detection. Proficient in Python, TensorFlow, PyTorch, Scikit-learn, and SciPy, with expertise in signal processing, feature extraction, and data preprocessing. Passionate about leveraging AI to revolutionize healthcare and improve patient outcomes. Seeking a challenging role to contribute to innovative research and development
AI and Machine Learning Developer – Biomedical Applications
Collaborated on AI-powered diagnostic systems for early disease detection. Expertise in signal processing, multiscale feature extraction, and data preprocessing using tools like PyWavelets. Developed and optimized machine learning models with TensorFlow, PyTorch, Scikit-learn, and SciPy. Proficient in Python programming and advanced AI frameworks, ensuring high diagnostic accuracy through effective collaboration with multidisciplinary teams.
1. Multiscale Feature Extraction and AI Framework in Biomedical Applications
Developed an AI-powered diagnostic system for early disease detection, focusing on multiscale feature extraction, signal processing, and machine learning using Python, PyWavelets, and TensorFlow.
2. Fine-Tune BERT for Text Classification
Fine-tuned the BERT model with TensorFlow for text classification, improving accuracy through preprocessing and hyperparameter tuning.
3. Optical Character Recognition (OCR) with Document AI
Built an OCR system using Python and Document AI to efficiently extract and process text from scanned documents.
4. IoT-Based Soil Monitoring System
Designed an IoT-based system to monitor soil moisture, NPK content, and temperature, enabling real-time data collection for improved agricultural practices.
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