Eric Meadows Email & Phone Number

Marina Del Rey, Ca, Us

Fixing major problems...

▶ Created a dev-tools platform that enabled engineering teams to know the risky areas within Pull Requests, who & what the change affected, and how risky the PR was.▶ Built out a universal code-mapping solution, giving teams the ability to know who and what they were affecting. Each supported programming language (Go, Java, JavaScript, Python, Ruby, and TypeScript) was translated from code to abstract syntax trees (ASTs) to a universal map.▶ Managed a team of 5 engineers, customer relations, and investor relations while also writing code.▶ Built all SOC 2-compliant infrastructure on top of Kubernetes using Terraform, Helm, and GitHub Actions, and Argo CD.

New York, New York, Us

▶ Created MLB’s GitOps-based CI-CD process, enabling software engineers to launch new microservices & data processing pipelines by adding a single file to their code base.▶ Created an in-house debugging platform that sped up debugging time by 3x.▶ Improved the developer experience for launching machine learning models by building an in-house platform.▶ Modified the underlying GKE infrastructure to enable driver upgrades on “locked” platforms, cutting out all manual work on GPU-based ML model launches.

▶ Improved the dev experience for DS/ML teams by building an in-house ML experimentation platform.▶ Reduced over $100k in costs by migrating platforms and centralizing data infrastructure.▶ Improved ML model delivery experience through an in-house ML platform.▶ Enhanced the developer experience by creating a standardized, in-house debugging platform focused around the most-efficient workflow.▶ Ran a software organization of 12 developers that improved their velocity by over 15%.

San Francisco, Ca, Us

▶ Managed a construction project, cutting the build time from 4 months to 4 weeks.▶ Built an iOS app that handled payment transactions similarly to Square, but at under 1/10th the cost.▶ Built a stress-detection wearable that accurately measured stress and, through our remediation methods, reduced users’ stress by over 80%.

Bangalore, Karnataka, In

▶ Designed and created a self-learning OCR (Optical Character Recognition) system that deciphered text, handwriting, and doctors’ handwriting into text from flip-phone quality images.▶ OCR engine outperformed Microsoft and Google within 2 weeks.▶ OCR engine auto-corrected warping, page curves, and ink splotches.

Austin, Texas, Us

▶ Created analytical tools for the Autopilot team that decreased bug prevalence search time by 80%, from 1-2 days to under 1 hour.▶ Created the Tesla-internal MR-DBSCAN (Minimal Revisiting Density-based Spatial Clustering of Applications with Noise) algorithm that created a lane-level-accurate world map in under 48 hours without pre-existing data.▶ Implemented ML algorithms for Autopilot that enabled the vehicle to navigate a 3D world, instead of the 2D world assumption with which the system was designed.

Tampa, Florida, Us

▶ Instructed students on proper implementation of PLC designs, along with proper use of simulation tools.▶ Creates laboratory experiments requiring real-world techniques and the application of Matlab.▶ Assisted students with troubleshooting procedures and developing problem-solving techniques.

Raymond, Ohio, Us

▶ Led efforts to determine performance effectiveness of wireless communication protocols for the USDOT/NHTSA Vehicle-to-Vehicle research program. ▶ Demonstrated the viability of a 2-camera self-driving system for vehicles. ▶ Created a streamlined method to determine the safety level of Honda’s driver’s assist systems. ▶ Engineered data harvesting tooling that enabled next-generation intelligence system research.

Columbus, Oh, Us

▶ Increased operations center staff efficiency by 5% be developing software that automatically troubleshot backup 3G connections issues at all brand stores.▶ Increased productivity by 25% for the operations center staff by developing and implementing a software program that automatically configured networking equipment. ▶ Programmed an automated collaboration tool to be used for new store openings that provided an immediate status of a store’s IT readiness, and verified acquired data from store equipment. ▶ Software developed also provided real-time updates to all involved staff in a non-interrupting manner except when necessary.

• Created a software model of a DC motor within the Matlab and LabVIEW environment.• Presented model and study results at the DCASS in March 2009.• Reduced model’s error to 3% from incalculable errors present by accounting for all time and static friction delays that were not accounted for in the linear system model.