Sai ketan S.
CPEX (Customer Packaging Experience)
Experience
Dec 2018 - Dec 2024
6 years 1 monthHyderabad, India
CPEX (Customer Packaging Experience)
Amazon Development Center
- Provided packaging classification annotations for pressure sensitivity to reduce damage during robotic picking
- Identified polybag-eligible ASINs, reducing manual handling and FC testing efforts through quick visual inspections
- Contributed to increasing testing efficiency by certifying ASINs for polybag shipping and eliminating unnecessary picking, testing, and stowing
Dec 2018 - Dec 2024
6 years 1 monthHyderabad, India
Cardinal (Chute-fed Robotic Packing System)
Amazon Development Center
- Annotated product shapes, sizes, and bin positions for Amazon’s Cardinal robotic work-cell, ensuring safe placement into Go Carts using AI-based spatial analysis
- Supported functions such as singulation, identifying, sizing, picking, sorting, planning and placing packages into containers, and tracking fill volume, including defect detection, work-cell safety, and exception handling
Dec 2018 - Dec 2024
6 years 1 monthHyderabad, India
Nike/Hercules (Robotics Video Annotation)
Amazon Development Center
- Led a team in annotating video data to enhance Amazon’s Hercules robotic navigation, increasing robotic picking accuracy by 18%
- Documented Amazon Robotics’ Hercules robot features, including a 7.75 inch tall design lifting 1250 pounds with 50% fewer components to optimize fulfillment center space and efficiency
Dec 2018 - Dec 2024
6 years 1 monthHyderabad, India
Operations Support Specialist
Amazon Development Center
- Managed a team of 20–30 associates, enhancing productivity by 30% through training, performance reviews, and mentorship
- Led AI/ML data annotation initiatives including video, image, and robotic pipeline data across multiple high-impact projects
- Directed ML data annotation projects (Nike Hercules, Robin, Sparrow), ensuring 98%+ quality adherence and on-time delivery
- Annotated 10,000+ images/videos used in robotic picking, packaging pressure calibration, and queue monitoring
- Created SOPs, onboarding material, and QA feedback loops to streamline workflow and reduce annotation defects by 20%
- Built automated dashboards in Excel/Power BI for tracking KPIs, SLA breaches, and project status updates
- Provided weekly and monthly reports to senior leadership with insights into accuracy, performance, and risk mitigation
- Used Excel trackers to manage task flow, escalate risks, and align projects with strategic goals
- Reduced new hire ramp-up time by 40% by designing a comprehensive onboarding and training framework
- Designed and implemented customized training programs to improve individual capabilities and overall team performance
- Analyzed customer feedback to refine workflows and ensure the team met or exceeded SLAs and customer satisfaction metrics by 50% over 3 months
- Directed multiple machine learning pilots and data operations projects, ensuring on-time delivery and high-quality outputs
- Collaborated with training and nesting teams to streamline onboarding processes and enable quick integration of new associates
- Utilized data analytics and dashboards to monitor KPIs, assess team performance, and generate actionable insights
Dec 2018 - Dec 2024
6 years 1 monthHyderabad, India
Robin (Conveyor Belt Image Annotation)
Amazon Development Center
- Annotated conveyor belt images for robotic arm training, focusing on object detection, spacing, and orientation for accurate picking and grip alignment
- Applied key lessons including extensive data collection for A/B testing and continuous model retraining, early investment in simulation for parallel testing and automated ground truth, and prioritizing offboard tooling software for spatial data visualization and AI model evaluation
Dec 2018 - Dec 2024
6 years 1 monthHyderabad, India
Sparrow (AI Robotic Picking)
Amazon Development Center
- Supported development of Amazon’s Sparrow robotic system by annotating object categories, orientations, and tracking error cases for model retraining
- Contributed to automating fundamental fulfillment center capabilities such as product movement, handling, sorting, identification, and storage through advanced computer vision and AI annotations
Dec 2018 - Dec 2024
6 years 1 monthHyderabad, India
Truck Queue
Amazon Development Center
- Annotated still images from surveillance cameras to estimate queue fullness at Cross Docks and Fulfillment Centers in real time
- Provided metrics and triggered alerts when queues exceeded thresholds to prevent congestion, traffic violations, and legal issues while optimizing truck arrival times and site operations
Jun 2015 - Jul 2018
3 years 2 monthsHyderabad, India
Bachelor of Commerce in Computer Applications
Wesley Degree College
Summary
Adaptable and results-oriented AI operations and project specialist with 6+ years of experience at Amazon, leading end-to-end machine learning data annotation projects, streamlining operations, and managing cross-functional teams. Adept at building dashboards, reporting performance insights, and driving SLA and KPI improvements. Experienced in coordinating AI robotics data pipelines, team onboarding, and stakeholder reporting. Passionate about enabling AI development through structured data and operational excellence.
Languages
Hindi
NativeEnglish
AdvancedGerman
IntermediateEducation
Jun 2015 - Jul 2018
Wesley Degree College
Bachelor of Commerce · Computer Applications · Hyderabad, India
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