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RoboflowNo subject matter listed
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Medical DicomI am a Machine Learning Engineer with hands-on experience in building end-to-end AI solutions, specializing in data preprocessing, feature engineering, and model deployment. My background includes working with a wide range of data types and domains, such as computer vision for object detection and segmentation (YOLO, ResNet, MONAI), NLP for text extraction and classification (BERT, Spacy, Pytesseract), and medical imaging for fracture detection. I have developed and evaluated models for real-world applications like damaged road detection, form data extraction, and medical diagnostics, ensuring high-quality training data through meticulous annotation and validation. My proficiency spans Python, TensorFlow, Keras, Scikit-learn, Databricks, and collaborative tools like Git, with a strong focus on data quality, model accuracy, and scalable AI workflows. I am passionate about leveraging my skills to deliver impactful AI solutions that rely on robust, well-labeled datasets.
I had to annotate diacom images of rib fractures, to locate the fracture and assess its severity.
I had to annotate info based on NER, with a certain set of criteria in mind. Based on a category I had to annotate the same
This project was focused on detecting cracks on roads and assessing the severity of the same. I had to annotate both bounding box for detecting the crack on the road, and polygon for instance segmentation to exactly pinpoint the width of the crack.
Master of Computer Applications, Computer Applications
Bachelor of Computer Applications, Computer Applications
Full Stack Intern
Machine Learning Engineer
