Back-end Architect
2018 - 2018Skill Blaster- Reduced the AWS bill by 80% by applying best practices to DynamoDB usage.
- Improved the page-load speed by five times by prefetching and prewarming serverless APIs.
- Eliminated the need for additional Redis hosting and caching.
- Reduced the API latency by 70% by increasing parallelism and modifying DynamoDB calls.
- Proposed options for further long-term improvements.
Technologies: Amazon Web Services (AWS), Node.js, Amazon DynamoDB, AWS LambdaSenior Back-end Engineer
2015 - 2015Udacity- Optimized the back-end to reduce CPU usage by 70% and decreased the App Engine bill by $30,000/month.
- Migrated a legacy monolithic app engine site to AWS microservices.
- Internationalized and localized the main website for the India launch.
- Replaced the payment back-end in order to add Stripe support.
- Initiated a company-wide issue list to streamline employee processes.
Technologies: Google App Engine, PythonSoftware Engineer III
2012 - 2015Google- Added OCR and object graph queries to the Android M kernel.
- Performed R&D work on a Google-scale in-memory distributed graph database.
- Wrote two optimizing query compilers (for two source languages).
- Created a visual debugger for inspecting graph diffs.
- Led the project test infrastructure improvements.
Technologies: Kubernetes, Graph Databases, C++Scientist II
2009 - 2011Los Alamos National Laboratory- Designed and prototyped a 100,000–node fully decentralized command-and-control framework.
- Wrote firmware patches to update network packet capture software for new 10G interfaces.
- Carried out experiments to compare architectures for a custom petabyte-scale database.
- Assisted in the design and analysis of a 10,000–subject phishing experiment.
- Managed a data analysis with a MapReduce framework.
Technologies: Hadoop, C++, C, PythonSDE Intern
2006 - 2006Microsoft- Developed an antiphishing feedback site to coalesce IE user experiences into a knowledge database.
- Constructed prototype server frameworks to evaluate replacements for IE’s antiphishing service.
- Discovered and repaired a latent security vulnerability in the Microsoft antiphishing servers.
Technologies: ASP, .NET, C#
Hugh Wimberly
Python Developer in San Francisco, CA, United States
Member since June 7, 2018
Hugh has over thirteen years of professional experience developing software for scientific and business customers. He was one of the core developers on the graph database that powers Google's semantic interpretation of search queries and has worked on mission-critical software for Los Alamos National Laboratory. His focus is on building flexible high-performance architectures that scale well and adapt to changing needs.
Hugh is now available for hire
Portfolio
- Skill BlasterAmazon Web Services (AWS), Node.js, Amazon DynamoDB, AWS Lambda
- UdacityGoogle App Engine, Python
- GoogleKubernetes, Graph Databases, C++
Experience
- Python 13 years
- Machine Learning 12 years
- Test-driven Development (TDD) 10 years
- Data Analysis 9 years
- JavaScript 5 years
- Amazon Web Services (AWS) 3 years
- AWS Lambda 2 years
- Serverless Architecture 1 year
Availability
Full-time
Preferred Environment
PyTorch, Pandas, Python
The most amazing...
...thing I've created is an in-memory peta-scale distributed graph database.
Employment
Experience
- Structured Data Extraction from Scanned PDFshttps://github.com/project-deepform/deepform
This is a TensorFlow ML project designed to help reporters trace the money spent in US election cycles; we achieved a state-of-the-art performance for extracting the candidate's name, the dates the commercials aired, and amount spent on them.
- Spanish Stemmerhttps://github.com/moredatarequired/stem-pager
A lemmatizer/stemmer to extract stemmed tokens from Spanish text to build a word-frequency table that was independent of different conjugations and word forms.
Skills
Languages
Python, T-SQL, SQL, C, JavaScript, Java, C#, C++Tools
Git, Shell, Zsh, Apache AirflowStorage
Azure SQL Databases, Amazon DynamoDB, SQL Server 2016, Redshift, Graph DatabasesOther
Data Warehouse Design, Data Warehousing, Data Analysis, Machine Learning, Deep Learning, Neural Networks, OrchestrationLibraries/APIs
Pandas, PyTorch, Vue 2, MPI, Node.js, React, OpenMP, TensorFlow, KerasParadigms
Serverless Architecture, Test-driven Development (TDD), Behavior-driven Development (BDD), Agile Software Development, MapReducePlatforms
AWS Lambda, Amazon Web Services (AWS), Linux, Azure, Kubernetes, Google App Engine, CUDA, DockerFrameworks
Hadoop, .NET, ASP, Express.js
Education
- Master of Science Degree in Computer Science2007 - 2011New Mexico Institute of Mining and Technology - Socorro, NM, USA
- Bachelor of Science Degree in Computer Science2003 - 2007Rensselaer Polytechnic Institute - Troy, NY, USA
Certifications
- AWS Certified Developer — AssociateAUGUST 2018 - AUGUST 2021Amazon
- AWS Certified Solutions Architect — AssociateJUNE 2018 - JUNE 2021Amazon
