On a mission to build AI employees for Manufacturing Supply Chain.Reach out to me at sanjay@suchama.ai to know more.

• Led multiple Research and Development projects in the domain of AI in manufacturing with multi-disciplinary teams across the Industry and Academia (Stanford University, IIT Bombay, TU Darmstadt, IISC Bengaluru and IIT Delhi).• Incubated patent strategy and successfully filed four patents in US, EU, and India.• Developed process-specific standardized pipelines to perform feature engineering, prescriptive quality analytics, and AI model development, enabling the scalability of the solution.• Collaborated with decision-makers CXOs, Plant Head, DGM Quality and Maintenance Heads to identify and frame compelling AI use cases and deliver ROI based solutions.• Led the foundation of German Industrial AI (GIAI) Consortium in partnership with Automotive OEMs, their suppliers, University & Fraunhofer institutions, IT and IoT devices companies etc, supported by Hessian State Chancellery and Minister for Digital Strategy and Development.• Piloted Strategy, planning, operations, and research project management across various business critical horizontal functions for the founder/CTO.

Guide: Prof. Andreas Uhl, Department of Artificial Intelligence and Human Interfaces (AIHI), University of Salzburg, Austria• Efficient Fingervein Sample Image Encryption using Transparent JPEG2000 Encryption - Wavelet packet basis selection in Layer and Resolution progression. (Accepted in the International Workshop on Biometrics and Forensics IWBF, 2020)• Rotation Invariant Finger Vein Recognition using Multi Perspective Enrolment and Perspective Cumulative Finger Vein Templates in the domain of Extracted Vascular Features.• Developed Encrypted FingerVein Image Restoration (Circumventing-Image decryption) using Deep Convolutional Encoder-Decoder and Generative Adversarial Network.

Guide: Prof. Vikram M Gadre, SriJa Texas Instrument DSP Lab, Department of Electrical Engineering• Developed a Deep Learning and Scattering Wavelet Network based Feature Extraction Algorithm for face recognition and obtained state-of-the-art recognition accuracies on standard unconstrained face datasets.• Investigated various multi-biometric fusion schemes using learnt and handcrafted eigen face features.

Advisor: Prof. Vikram M Gadre & Prof. Sachin C Patwardhan• Teaching associate for the TEQIP-III KITE Active Learning with the theme: Mathematics in Engineering Workshop (Technical Education Quality Improvement Program–III) (Knowledge Incubation under TEQIP), initiative of the Ministry of Human Resources Development, Govt. of India, assisted by World Bank, conducting activities in pedagogy, educational outreach, academic system reform & research and developmental activities for increase in the quality of systemic transformation of India’s technical education system.

Guide: Dr. Parmeshwar Birajadar, Senior Scientist & Prof. Vikram M Gadre• Worked on monogenic wavelets to simultaneously extract local phase and orientation can be exploited for iris recognition applications.