Divyam Chandak

I am a versatile engineer specializing in full-stack development (MERN stack) and machine learning (Python/TensorFlow), with professional certifications in Data Engineering and Analytics and hands-on experience in architecting scalable systems and computer vision models.

I have developed and deployed machine learning models for image recognition and data validation, engineered scalable data pipelines to process high-volume real-time scan data, and implemented BLE gateway and Raspberry Pi solutions that improved system efficiency and reduced latency. I also built a full-stack e-learning platform backend to handle over 1,000 concurrent users and an MRI brain tumour classification pipeline that achieved 85% validation accuracy using VGG-16 and OpenCV preprocessing.

I am passionate about leveraging this blend of hands-on and certified knowledge to deliver robust, end-to-end solutions, collaborate with cloud-native teams, and continue growing as an engineer focused on data pipelines, computer vision, and scalable application architecture.