Tyler Graf Email & Phone Number

Co-lead overhaul of our NPI process, spanning dozens of teams and multiple organizations, to enable next generation AI infrastructure in industry leading time. Improved our time-to-production by 5x while improving quality deliveries simultaneously. Piloted program on the Grand Teton platform (https://blogs.nvidia.com/blog/2022/10/18/meta-grand-teton/).Also:* Spearheaded 2 other rapid and highly non-standard NPIs, enabling productization in record time* Enabled rapid and customized system (i.e. server/rack/cluster) build and data center integration to facilitate experimentation and data-driven decision making that ultimately improves business decisions.

Co-led large cross-functional New Production Introduction team on a (internal) 0-to-1 archival storage project. Responsible for setting and driving technical direction on one of the world’s largest archival storage implementations.Served as technical lead for system architecture and validation. Drove for building scalable and reliable systems.Played key roles in technical relations and co-development efforts with vendor, mentored several colleagues, and collaborated on upward facing strategy discussions.

Co-founded cross-functional team to analyze the impact of data center environment on hardware health.Analyzed impact of free-cooled data center climate controls on unexpected server reboots and diagnosed repair actions via various statistical analysis and data visualization methods.

Corpus Christi, Tx, Us

• Specialize in teaching time management and task prioritization for optimizing productivity.• Help clients discover major causes of time management issues via root cause analysis.• Facilitate creation of healthy habits by patterning productivity and time management improvements as habit cycles.

Provide small businesses the analytical advantages normally reserved for large corporationsUtilize a diverse background to extract intelligible and actionable insights from business processes and data to improve critical to quality metrics and profitabilityTechnical skill set includes machine learning, Lean Six Sigma methodologies, predictive analytics, strategic marketing, and product development among others

Austin, Texas, Us

• Lead control engineer for reel-to-reel tape transport system.• Technical lead on several high impact projects that resulted in data-driven improvements in quality, performance, and customer experience.• Developed embedded firmware for the Oracle T10000E Tape Drive to improve reliability and performance of the reel system. • Created and maintained a suite of test scripts in Matlab, JavaScript, and tcsh to automate experimental data acquisition and support statistical analysis. • Certified in Design for Six Sigma (DFSS).

Madison, Wi, Us

• Performed first theoretical and experimental technical evaluation of flux tracking – a sensorless control methodology for surface permanent magnet AC motors.• Designed analytical models, simulations, and experiments to perform parameter sensitivity and performance analyses.

Madison, Wi, Us

• Designed syllabus, created course material, and led lectures associated with sustainability and making.• Acted as lead technical advisor to multi-disciplinary groups of students designing sustainability-related products to be used locally.• Facilitated several academic and industry topic experts to present and interact with students, greatly increasing productivity and exposure to 'real world' issues and solutions.• Mentored undergraduate students looking to pursue technical and non-technical sustainability careers.

Chicago, Illinois, Us

• Designed novel Radiofrequency Ablation (RFA) electrode deployment system for post-lumpectomy cancer therapy.• Utilized 3D printed prototypes to facilitate design improvement and provide physical design representation for business competitions and potential investor meetings.• Technology is patent pending.• Won ~$200,000 in business plan competitions throughout the Spring of 2014.

Franksville, Wisconsin, Us

• Designed practical sensorless control techniques for buried permanent magnet synchronous AC machines for zero to high speed applications.• Utilized high frequency, carrier signal injection to determine zero-low speed position estimation and back-emf methods for medium to high speed control.• Provided application specific simulations analyzing company products and new control technologies.• Presented actionable results to members of leadership upon completion of internship.

New Berlin, Wi, Us

Master Of Science (Ms), Mechanical Engineering

Bs, Mechanical Engineering

Minor, German