Summary
Shubham Joshi is a Tech Lead AIML with 9 years of experience specializing in computer vision for industrial applications, leading teams to deliver end-to-end products from requirements through deployment with measurable outcomes. He combines deep learning research skills—segmentation, defect localization, OCR and depth measurement—with practical MLOps expertise, deploying models on Kubernetes, Docker, AWS and even Lattice FPGAs. Comfortable across the stack, he has built ETL and model pipelines, converted models for edge hardware, and managed production roadmaps at Griffyn Robotech and Softnautics. Based in Pune, he pairs a strong academic background in computer science with hands-on proficiency in Python, TensorFlow/Keras and embedded deployment, and has a history of evolving from solo deep learning projects to leading cross-functional product teams. A detail that stands out: he bridges industrial vision requirements and custom hardware deployment, turning research prototypes into field-ready instruments.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, A, Master's degree, Computer Science, A at Pimpri Chinchwad Education Trust'S. Pimpri Chinchwad College Of Engineering
lonavala, Computer Engineering, lonavala, Computer Engineering at Sinhgad College of Engineering