Dinesh Yadav

Leading a startup that develops AI‑powered computer vision solutions and agentic AI workflows for industrial and real‑world challenges. Key Responsibilities & Achievements: Architected and deployed AI models for object recognition, visual data interpretation, and automation of inspection and monitoring workflows. Designed AI prototypes achieving 90%+ accuracy in object detection and visual analytics across 3+ computer vision projects. Built and managed a cross‑disciplinary team of engineers, designers, and domain experts to deliver end‑to‑end AI solutions. Partnered with early‑stage investors and clients to align AI capabilities with business objectives and operational constraints. Delivered measurable outcomes including enhanced automation, reduced manual error, and improved process visibility for pilot use‑cases.

• Collaborated with the sales team at CoolBoots to manage the sales pipeline effectively. • Focused on fresh product offerings, driving customer engagement and satisfaction. • Achieved a remarkable conversion rate of 12%, contributing to the company's growth. • Played a key role in doubling monthly revenue, showcasing strong sales acumen.

Worked on data pipeline optimization and system integration projects that supported real-time analytics and industrial automation systems. Key Contributions: Engineered efficient data transformation workflows using modern ETL tools. Collaborated with software and AI teams to improve data accessibility and quality. Supported predictive maintenance projects and machine learning model testing.

Engaged in community-led initiatives promoting AI education and innovation awareness. Key Activities: Conducted workshops and webinars on AI and emerging technologies. Led communication drives for public relations and event outreach. Enhanced collaboration across IEEE networks and student chapters.

Responsible for member engagement, growth strategies, and internal communication. Key Highlights: Managed membership drives and chapter-level operations. Collaborated with technical leads to organize AI and robotics events. Strengthened IEEE’s local community presence through outreach programs.

Supported leadership in robotics and AI-related initiatives while coordinating events and publications. Key Highlights: Facilitated technical sessions and robotics competitions. Maintained team coordination and project documentation. Promoted research collaboration across interdisciplinary domains.