Michael Payne Email & Phone Number

Atlanta, GA, US

Arlington, Virginia, US

• Managed 14 on- and offshore data engineers across four cross-functional scrum teams. These teams were responsible for collecting and onboarding data as well as developing data pipelines to deliver customer-specific.
• Reduced technology costs 15% by right-sizing customer data warehouses and reducing data duplication.
• Identified, planned, and organized upgrades to critical infrastructure including AWS Glue jobs, Apache Airflow, and vulnerable open-source components.
• Implemented resource monitoring and alerting for data pipelines and frontend APIs for timely notification of errors and outages.
• Performed architectural and technical reviews to ensure development, architecture, and cloud best practices were followed.
• Instituted reoccurring lunch-and-learn sessions to reduce information silos across technology and provide training on engineering best practices.

London, UK, GB

• Managed two teams of software/data engineers to deliver data analysis tools/pipelines for airline schedules, ticketing, and booking data.
• Worked directly with product owners, SMEs, directors, and VPs to build product roadmaps.
• Reduced cloud compute spend by 67%
• Promoted the adoption of a cloud-native strategy (AWS), resource monitoring, and infrastructure-as-code among the Engineering teams and stakeholders.
• Led technology-focused continuous improvement sessions to accelerate the transition from costly proprietary software to general-purpose programming languages.
• Identify and implement innovative solutions to reduce cloud technology costs.

London, UK, GB

• Core framework developer and subject matter expert for new technology stack for flight connection building.
• Managed foundational data and pipelines to support multimillion-dollar downstream products and processes.
• Developed and maintained strong stakeholder relationships.
• Architected and designed new production system that includes mechanisms for both high-availability and disaster recovery for flight connection processing.
• Reduced technical debt by simplifying inherited codebase with varying degrees of refactorization, modularization, and abstraction. This resulted in a significant reduction in job configuration time (days to hours).
• Optimized how data flows through existing production system components.

London, UK, GB

• Sole developer for RELX Group's Innovation Team under direct supervision of the VP of Innovation, contributing software engineering/machine learning expertise in the development of several applications and projects for.
• Implemented project-specific machine learning and statistical algorithms.
• Evaluated the effectiveness of both open-source and proprietary technologies for use within RELX Group products.
• Developed and tested contributions to machine learning library for High Performance Computing Cluster (HPCC Systems) platform.
• Contributed to the Innovation Team’s communications about machine learning and data intensive computing/experimentation.
• Mentored summer interns and assisted in their successful contribution to company's proprietary technical resources.

Alpharetta, GA, US

• Implemented scalable machine learning algorithms for HPCC Systems platform resulting in upwards of 11x speed-up in performance over existing implementations.
• Contributed to lower-level linear algebra libraries for HPCC Systems using Parallel Block Basic Linear Algebra Subprograms (PB-BLAS).
• Presented to both executive and technical audiences on the inefficiencies of the existing machine learning strategy as well as plans and progress made on strategy improvements.

Clemson, SC, US

• Analyzed complex panel data, using nonparametric statistical methods, to evaluate impact of high dollar instrument acquisitions on academic output and research institutions.
• Evaluated social media phenomena in post-secondary research.
• Developed efficient algorithms for aggregating, modeling, transforming, and analyzing complex, big data.
• Provisioned and monitored big data clusters (Hadoop, Spark, HPCC Systems) and analyzed their behaviors and strengths.

Greensboro, NC, US

• Developed machine learning techniques for biometric feature selection, extraction, and weighting using genetic and evolutionary computational methods.
• Demonstrated the ability to classify sex of fruit flies by wing texture using above techniques with 80% accuracy.
• Collected and normalized image data sets
• Created and analyzed cyber identity profiles and fingerprints to identify unique users within a system.

Liberty, South Carolina, US

Developed proof of concept for parallel fsck (file system check) for OrangeFS (Parallel Virtual File System) file system

Pine Bluff, AR, US

• Examined intrusion detection in large-scale cyberinfrastructure-oriented environments.
• Participated in the initial setup of the university's first cyber security lab.

Abd, Computer Science

Bachelor Of Science, Computer Science - Information Systems

Master Of Science, Computer Science - Information Assurance