AI Project – Research Projects
Projects focused on applied AI, ML pipelines, and research-oriented implementations.
Projects focused on applied AI, ML pipelines, and research-oriented implementations.
Translating complex SOPs into accessible, multilingual video tutorials, driving user adoption, and demonstrating value through reduced training costs and accelerated onboarding.
Working effectively with cross-functional teams like packaging to re-engineer designs and then use detailed loading simulations to validate processes, achieving significant cost reductions and efficiency gains.
Lead strategic quality initiatives, using Lean tools like Gemba walks and Kaizen events to foster a culture of continuous improvement and achieve major, measurable enhancements in audit performance.
Design and implement solutions that span from user-facing tools (ordering websites) to advanced methodologies like FMEA and Predictive Maintenance, resulting in significant, quantifiable cost savings and improved equipment reliability.
Lead projects to digitalize critical workflows like FIFO, coordinating directly with technical teams to develop and deploy functions within SAP that ensure data integrity, process compliance, and real-time visibility.
Design and implement fully paperless digital workflows, creating real-time dashboards that provide end-to-end visibility and deliver significant time and resource savings for both internal teams and external partners.
Applying tools like SPC and Gauge R&R to identify sources of variation and make data-driven improvements.
Identifying skill gaps, collaborating with stakeholders (Quality, EHS, HR) to build a strategic plan, and deploying engaging, effective training materials that are validated by improvements in key production KPIs.
Apply detailed Methods-Time Measurement (MTM) studies to identify and eliminate non-value-added activities, resulting in major, quantifiable improvements in production output.
Using industry-standard simulation software (Siemens Tecnomatix) to model and de-risk complex manufacturing processes.
A key goal in my projects was to understand the developer’s workflow, creating a user experience that simplified the process of turning business needs into programming logic.