Steve Crampton Email & Phone Number

Leverkusen, North Rhine-Westphalia, De

- Created Python framework to listen to messages on a queue, collect data, and perform inference using an ML model * Designed overall system including REST API server and asynchronous model-running server * Worked with teammates to deploy system to Microsoft Azure using Terraform - Used the model-running framework to productionalize and deploy ML model to automatically determine field-tract boundaries based on satellite imagery - Created GitLab templates to run jobs to build containers and store in the Azure Container Registry, test Python code, deploy libraries to Artifactory, and update or deploy services as Kubernetes pods - Designed and led team that implemented an unsupervised-learning system to distinguish regions of farmland by productivity based on satellite imagery - Designed and implemented proprietary algorithm using economics to improve recommendations (patent 10,028,451) - Implemented method for auto-selecting K in K-means clustering for recommendation system * Read scientific papers and met with data scientists to understand the methodology * Designed and implemented modifications to the algorithm to make results more useful to users - Led or participated in multiple inter-company Hackathon teams * Identified relevant and significant issues or products * Recruited high-quality product managers, data scientists, and engineers * Executed or led execution of proof-of-concepts * Wrote, narrated, and edited video presentations - Interviewed candidates, mentored junior engineers, and gave technical talks on Python concurrency, unsupervised learning, and Clojure - Technologies used: AWS DynamoDB, AWS EC2, AWS ECS, AWS RDS, AWS S3, AWS SNS, Azure APIM, Azure Blob Storage, Azure Kubernetes, Azure Service Bus, Bash, Clojure, GraphQL, Java, JBLAS, Linux, Python (including asyncio, poetry, pedantic, and other libraries and tools), R, Redis, Scala, SQL

St. Louis, Missouri, Us

Climate was acquired by Bayer.- Created Python framework to listen to messages on a queue, collect data, and perform inference using an ML model * Designed overall system including REST API server and asynchronous model-running server * Worked with teammates to deploy system to Microsoft Azure using Terraform - Used the model-running framework to productionalize and deploy ML model to automatically determine field-tract boundaries based on satellite imagery - Created GitLab templates to run jobs to build containers and store in the Azure Container Registry, test Python code, deploy libraries to Artifactory, and update or deploy services as Kubernetes pods - Designed and led team that implemented an unsupervised-learning system to distinguish regions of farmland by productivity based on satellite imagery - Designed and implemented proprietary algorithm using economics to improve recommendations (patent 10,028,451) - Implemented method for auto-selecting K in K-means clustering for recommendation system * Read scientific papers and met with data scientists to understand the methodology * Designed and implemented modifications to the algorithm to make results more useful to users - Led or participated in multiple inter-company Hackathon teams * Identified relevant and significant issues or products * Recruited high-quality product managers, data scientists, and engineers * Executed or led execution of proof-of-concepts * Wrote, narrated, and edited video presentations - Interviewed candidates, mentored junior engineers, and gave technical talks on Python concurrency, unsupervised learning, and Clojure - Technologies used: AWS DynamoDB, AWS EC2, AWS ECS, AWS RDS, AWS S3, AWS SNS, Azure APIM, Azure Blob Storage, Azure Kubernetes, Azure Service Bus, Bash, Clojure, GraphQL, Java, JBLAS, Linux, Python (including asyncio, poetry, pedantic, and other libraries and tools), R, Redis, Scala, SQL

Seattle, Wa, Us

- Delivered backend components for a new system using MySQL and MongoDB to manage user accounts and vend machine-generated targeting segments for online advertising. * As part of a 4-person team of senior engineers, designed and built a mission-critical system from backend through UI and delivered it on the original due date * Designed and implemented an automatic term splitter for hashtags using statistical techniques to split composite words (e.g., "thisisgreat" -> "this is great") - Designed and built a sandbox for testing predictions and prediction algorithms * Designed, prototyped, and benchmarked alternative architectural proposals * Delivered system to meet business requirements and also added a UI dashboard so that stakeholders could observe relevant prediction metrics in easy-to-understand graphs and visualizations - Re-architected machine-learning system to achieve greater efficiency and scale to meet strategic business goals - Interviewed job candidates, participated in planning meetings, and otherwise assisted in the operation of a lean startup

Seattle, Wa, Us

- Designed and implemented portions of a comprehensive system to manage and automatically generate social-media ads * Drafted and presented design documents and data schemas * Wrote distributed workflows using SWF and EMR, and automated tests for the workflows * Integrated with the Facebook API, DynamoDB, Oracle DBs, and internal Amazon systems - Designed and delivered a robust and scalable internal service to handle asynchronous requests, including automated testing and deployment procedures - Designed and built a component to suggest keywords based on Bayesian statistical inference, which out-performed manually generated keywords - Designed and ran ETL jobs and SQL queries on large databases to obtain relevant, actionable information for decision-makers - Designed and built components of a highly scalable system that was a drop-in replacement for a business-critical legacy system on time for Q4 - Scrum Master for team divided between the U.S. and India - Wrote Hive jobs for and maintained an internal Hadoop cluster to perform view-through attribution for offsite-display ads - Designed and implemented system expansions of the Amazon Associates Program to new marketplaces with different languages and currencies - As an appointed member of the Engineering Excellence Group, organized workshops to improve our software-development process

Jacksonville, Florida, Us

- Designed and taught electives and math classes in a dedicated math and science magnet school- Created a thin-client computer lab using Linux and other free, open-source software * Drafted a standards-based curriculum proposal to support the lab * Secured funding from school and district leaders * Designed and constructed the physical and electrical layout- Configured and maintained a Moodle course-management website with MySQL and Apache

Reston, Va, Us

- Designed an algorithm to track multiple objects flying in front of a video camera * Used an object-oriented approach, programming in Python * Wrote and linked to image-processing code in C, enabling near real-time performance. * Built portable code to run on Windows, MacIntosh, and Linux systems * Designed and customized a friendly user interface based upon client requests

Englewood, Nj, Us

* Design and Teach AP Computer Science * Design and Teach Technology classes for Math–Science–Technology program * Faculty Advisor, Computer Club * Math–Science–Technology Photographer * Advise students on topics including the following: generating functions, chatterbots, computational fluid dynamics, 3D animation

Boston, Ma, Us

- Wrote and graded assignments, and ran labs, on neural networks and other topics in artificial intelligence- Taught Introduction to Computers to sections as large as 120 students- Supervised 2 Teaching Fellows and 4 Graders- Planned and prepared Syllabus, assignments, and examinations

Salem, Ma, Us

* Taught concurrent sections of "Civil Rights, Individual Liberties, and the Judicial Process"* Prepared and presented the Political Science Department's prize-winning offering to the college's "Celebration of Arts and Sciences"* Accompanied student field trips to the Harvard National Model United Nations and to Washington, DC

* Taught voice and coached singers in groups and private lessons* Performed professionally as vocalist, pianist, guitarist, or bassist* Arranged music for and music-directed shows* Mixed and mastered live and studio recordings

Washington, Dc, Us

* Delivered oral arguments, interrogated witnesses, negotiated settlements, and advised clients* Drew up letters, pleadings, briefs, memoranda, affidavits, and other legal documents* Supervised other attorneys, legal assistants, and paralegals* Volunteer Teacher (DC public high schools), Street Law, Inc.

M.A., Computer Science

Certificate, Neural Networks And Deep Learning

Education record

B.A., Mathematics And Computer Science

J.D., Law