Amit Kale

*Lead three departments (Applied Research, Applied AI, and Engineering for R&D) com- prising 120 staff, with a budget of 7 million. • Drive research contributions to regional manufacturing and sales initiatives, and the global software development center. • Spearhead the development of GenAI assets for SW development, hybrid models to reduce simulation time, and virtual sensors • Expand research footprint in India through talent acquisition, retention, and leadership mentoring.

Responsible for technology development across the AI data lifecycle, including synthetic data generation, data curation, labeling, quality check, and validation. Led the development of a domain-specific foundation model (for automotive) leveraging legacy data and perception algorithms. Delivered assets contributing to Euro 20 million bottom-line impact and secured 40+ patents in AI. Guide the development of data-driven agents, leveraging LLMs and ensuring trust and reliability.

Defined technology strategy, drove project acquisition, and led a team of 30 scientists in AI/ML, focusing on NLP, time series analysis, and numerical methods for embedded hardware.

Led technology strategy, project acquisition, and the development of the computer vision and machine learning research group. Focused on core technologies to improve the AI development data loop, including acquisition, data selection, curation, search, and validation. Developed high-value, scalable assets with relevant IP, transferred to business units globally and regionally.

Led technology strategy, project acquisition, and research projects for the imaging and computer vision program. Explored the clinical collaboration ecosystem in India, publishing work in leading conferences and journals RSNA, Clinical Radiology Journal. Interfaced with the imaging and computer vision technology field to develop solutions for clinicians in India. Managed a team budget of approximately €500k

Led and drove the mission of the imaging program in India. Developed technical expertise within the team in computer vision applications (medical imaging, video surveillance). Responsibilities included staffing, budgeting, university relations, market opportunity scouting, and IP creation. Key projects included: Automated analysis of ECG and IECG signals. Development of a low-cost patient positioning and monitoring system.