Rajesh Singh

About Rajesh Singh

Rajesh Singh has over 25 years of experience applying technologies in the automation industry to simplify operations and provide new insights into manufacturing platforms. He strives to connect the ideas, the opportunities, and the people to deliver a tangible profitable impact to his businesses. He uses his deep technical mastery and technical curiosity, with effective knowledge transfer, strategic intellectual property management, and business understanding to drive his organizations to sustainable breakthrough performance.He is a registered Professional Engineer in Electrical & Computer Engineering. Rajesh has had on the ground experiences domestically and internationally including extended operation in Japan, S. Korea, Germany, Italy, Hungary, France, India & Canada. Rajesh has recognized mastery in control systems, data acquisition, PLC programming, servo control, HMI design, machine vision systems, automation networks, web handling, design & build coordination, project management, and on site startup support. He is a visionary and early adopter of technologies, understanding the potential benefits and risks when strategically integrating them into critical infrastructure. Rajesh has protected this innovation with multiple patents and patents pending. Rajesh has designed, implemented and maintained genetically heterogeneous infrastructures to reduce risks from environmental changes (commercial obsolescence, intellectual property, and evolutionary migration). Rajesh has experience in all life cycle stages of consumer goods from definition of consumer need, prototyping & concept development through full supply chain scale-up delivery. Rajesh has deep knowledge of statistical process control and real time application of statistical methods to deliver business results. Rajesh is also trained in Incident Command Systems management and has implemented this methodology to move from business crisis to successful market delivery.

Experience

1. Director (Tech) Sustainable Packaging, Automation R & d, and Global Operations Ai

   Amazon

   Apr 2023 — Present · Seattle, WA, US

   Leading a talented individual global team across India, North America and Europe improving our customer\'s e-commence experience. Eliminating unnecessary packaging, optimizing the type of material, and packaging materials when needed, and eliminating unnecessary packaging altogether to deliver products safely. Reducing Plastics use and developing curbside recyclable packaging materials. Leading the packaging material and field execution teams for a multibillion-dollar global packaging operation. Global Operations Artificial Intelligence is a leading organization in full-cycle AI/ML life cycle management, expertly guiding the process from initial data gathering to model training, quality assurance, and reinforcement learning. We utilize a global workforce and advanced data management workflows to create and maintain high-quality datasets essential for developing and fine-tuning foundational models in generative AI, including Large Language Models (LLMs), Machine Learning (ML), and Deep Learning (DL). By combining AI-driven techniques with human oversight, we ensure the delivery of highly accurate, annotated images and videos that power visual perception-based computer vision (CV) models, specifically designed to meet the needs of the e-commerce retail industry. Our approach includes real-time human intervention for low-confidence AI/ML results, providing essential confirmation and correction to maintain high standards of performance and reliability.Leading Amazon’s worldwide development labs where we focus on delivering a more convenient and consistent customer experience through a variety of technologies, including autonomous mobile robots, sophisticated control software, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands.

Education

• University of Illinois Urbana-Champaign

  BS, Electrical and Electronics Engineering

  1993 — 1993

Skills

• Plc
• Product Innovation
• Machine Safety
• Control Systems Design
• Manufacturing
• Cross Functional Team Leadership
• Consumer Products
• Rslogix
• Control Charts
• Reliability Engineering
• Consumer Goods
• Innovation Management
• Spc Charts
• Motion Control
• Platform Innovation
• Lean Manufacturing
• Web Handling
• Intellectual Property
• Strategy
• Mind Mapping
• Product Design
• Process Engineering
• Control Logic
• Automation
• Product Lifecycle Management
• Process Simulation
• Mes
• Knowledge Management
• Engineering Incident Command
• Cross-Functional Team Leadership
• Requirements Definition
• R&D
• Process Improvement
• Open Innovation
• Statistical Modeling
• Business Strategy
• Failure Mode, Effects and Criticality Analysis (Fmeca)
• Product Development
• Process Control
• Linux