Chung-I Huang

- Pioneered the integration of Gemini into Camera products, enabling searchable and AI captions capabilities. - Automation Tab features NPI such as Upcoming carousel, Feedback cards, and Suggestions.

• Laed WW NPI for mainstream PowerEdge servers, focusing on rack/tower 1-socket servers, achieving a safe launch yield rate of ~95% across WW factories (Mexico, Poland, Malaysia, India, Brazil, and China) • Ops lead for managing pre-concept/define/plan stages of the AI/ML server XE8712 with Nvidia GB200, NVL4, and utilizing liquid cooling technology. • Coordinated with software engineers to ensure Delldiags/Mdiags met key KPIs across NPI and Sustaining. • Resolved major factory-related HW/FW issues across Qual Build/Pilot/Safe Launch phases. • Developed a tool to enhance BOM/SKU data matching efficiency, improving Qual/Pilot orders accuracy from ~80% to 97%. • Led cross-functional teams to drive DFx/NUDD implementation, ensuring on-time phase exit. • Represented ISG GOE NUDD/LL Modernization, onboarding SQE and SchM teams onto JIRA to streamline software automation.

• Led NPI display products (V, M, P, U series) overseas development system team. On-time hit rate >90% during global material shortages in 2021. • Program lead the Supply Chain shortage mitigation forum, secured ~7Mu panel and scaler IC supply gap, and increased material flexibility allocation by 60%. • Program lead the HP's 1st WWCB-certified (Works With Chromebook) Display. Overall, I’ve delivered a total of 6 WWCB-certified displays.

• Coordinated with the program lead and introduced HP internal database software to the D&A department staff. I’ve helped define the processes and coached staff. The program overall enhanced D&A’s productivity by ~30%. • Promoted after 6 months joined HP, and directed management of 2 entry-level engineers.

• Solved a customer complaint regarding window pop-outs by innovating an auto-dispenser. This reduced material waste by approximately 25% and boosted productivity by 18%. • Implemented an eco-friendly paint/coating technique for the SurePal device, preventing global shipment disruptions. • Managed all of the reusable autoinjectors, ensuring lifecycle management quality and operational excellence.

• Developed new products, improvements, and display concepts in 3D modeling. • Managed various aspects of a project plan including product’s BOM, prices negotiation, and goods delivery schedule. • Sourced and interfaced with IC distributors (Arrow, Microchip, etc) and manufacturers. • Responsible for leading cross-functional teams and managing end-to-end product development programs from idealization to commercialization. • Engineering lead, and designed 10+ various lighting products. • Accomplished projects: o Electro Glove – Lead, 2015 o ePoi balls – Lead, 2016 o Spectra BT – ME Lead, 2016 o Leviwand– Lead, 2017 o Proton Orbits – Lead, 2017

• Oversaw successful development of mechanical components for multiple product lines from concept sketch to completed production. • Performed FEA analysis at a Component Level for Structural Analysis. • Ensured product quality is satisfied with NSF requirements. • Accomplished Projects in plastic parts and sheet metal parts’ design: o All kinds of the water filter housings o Reverse Osmosis (RO) end cap design for food services purposes. o Straw Water Filter. o Inline filter with pleat papers and melt-blown. o India Filter of pleat pack cartridge project. o Valve-in-Head (VIH) bypass design for Sediment Cartridge Filtration. o 3/8” 4-way KFA converter. o Sport Bottle & Pitcher Replacement Filter. o Die tubes and center rods for manufacturing carbon blocks

• Utilized PLC Creo 2.0 to modernize and expand product development capabilities and provide a means for conveying design concepts and intent to customers. (Power backup, 17” Laptop case). • Conducted rapid feasibility studies to direct design for optimal cost, schedule, and performance. Interfaced with vendors and contract manufacturers to ensure compliance of materials, components, and processes.

Building Lighting Retrofits Project: • Re-measured the light levels and performed an economic analysis for the LED replacement. Worked in a team that proposed minimizing pre-inspect defects and saved over $20,000/year in a cost-benefit analysis that was later implemented.

Skills learned in this class: - Module of Pandas application. - Matplotlib & Seaborn - Naive Bayes - Linear Regression with Single and Multiple Variables - Classification and Regression tree - Randomforest & Kmean clustering - Scikit-learn : Support Vector Machines (SVM) linear and non-linear classification - Concept of Multi-Layer Perceptron (MLP) - Convolutional Neural Networks (CNN) - Handwriting recognition using Tensorflow and Keras, an open-source software library. - Recurrent Neural Network (RNN) algorithm