Shravan Parunandula is a Senior Data Scientist with 11 years of experience building AI-driven products at the intersection of computer vision and industry impact, currently leading multimodal and Transformer-based R&D for automotive imaging at ATAMAI. He has a proven track record delivering production-grade solutions—from real-time background removal and fine-detail vehicle segmentation that boost dealer sales to explainable fraud-prevention engines at JPMorgan Chase. His work spans deep learning research and applied engineering, including privacy-preserving GAN anonymization, face recognition with blockchain-backed logins (patented), and data condensation for efficient continual learning. Comfortable in cloud and big-data environments, he combines PyTorch/TensorFlow expertise with PySpark, Airflow, and MLOps practices to move models from prototype to web-scale. Based in Hyderabad, he blends academic research roots at IIIT Hyderabad with enterprise impact, and consistently prioritizes measurable business outcomes alongside technical innovation.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering, First, Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering, First at Ganapathy College of Engineering
Master of Technology (M.Tech.), Electrical, Electronics and Communications Engineering, A+, Master of Technology (M.Tech.), Electrical, Electronics and Communications Engineering, A+ at Auroras Technological and Research Institute (ATRI)
Deep Learning, Computer Vision, Machine Learning, Statistics and Probability, BCI, First, Deep Learning, Computer Vision, Machine Learning, Statistics and Probability, BCI, First at International Institute of Information Technology
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