Aniruddh speaking. My profile may be incomplete, but my interest in new opportunities is fully formed.

**PhD Dissertation with Veterans Affairs Medical Center:** Developed a novel BCI-based neurofeedback method for motor rehabilitation in stroke patients using fMRI, fNIRS, EMG & Functional Electrical Stimulation.

University of Florida

_Led vision aligned with Ford’s tech strategy by pioneering innovations in driver monitoring &_ _human-machine interaction._                                         

*   Synthesized insights from customer/patient needs, market research & industry trends and led the due diligence of next generation technologies to identify high-potential new product opportunities and guide research strategy.
*   Spearheaded an R&D program and directed technical teams globally to complete 6 research projects in neuroscience and biomedical technologies to explore new applications areas, with a total budget of $1M.
*   Designed & developed systems & algorithms as part of product concepts using emerging technologies like brain-computer interfaces (BCI), wearables and Artificial Intelligence (AI) that informed strategic product development.
*   Created and maintained project documentation including project plans, schedules, budget, resources, technical specifications, risk evaluations, regulatory compliances, milestones and changes.
*   Devised a set of core metrics to track the performance of driver monitoring systems, projected to improve process improvement by decreasing supplier evaluation time by 25%.
*   Identified, established and managed strategic business partnerships with key external partners including research collaborations, technology scouting, supplier & vendor relationships and critical quality assessments.
*   Granted critical patents by USPTO solidifying Ford’s leadership in driver state monitoring & AI.
*   Effectively communicated complex research insights and provided status reports to senior leadership and various stakeholders, influencing Ford's strategic direction.

Biomedical Research Scientist/Engineer

*   Initiated a process improvement project by leading the design & development of an internal platform to build, test & deploy AI/ML models for automated driving features, resulting in 20% reduction in processing times.
*   Led a 10-person engineering team to deliver an AI-based self-parking feature through computer vision, controls & systems engineering, resulting in 40% improvement in parking accuracy rates & 30% increase in user satisfaction.
*   Owned & executed a data-driven product roadmap and implemented an Agile development process to iteratively improve an AI-based automated driving feature, leading to improved feature safety ratings.
*   Developed pipeline for computer vision model development which included data collection, data annotation, data curation, model training, testing, model optimization, integration and deployment.
*   Conducted user interviews, usability tests & customer feedback analyses to draw user insights and define product requirements, technical specifications & development plans that resulted in de-risking product solutions.
*   Collaborated cross-functionally with research, engineering, design, functional safety, marketing & business development teams to strategically prioritize high-impact features & ensure feature compliance with safety standards.
*   Developed data analytics framework and metrics to measure product success amongst customers.

Aniruddh Ravindran

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