John is available for hire
Hire JohnJohn Noecker
Verified Expert in Engineering
Full-stack Engineer and Developer
Schuylkill Haven, PA, United States
Toptal member since December 1, 2022
Bio
John is a performance-driven full-stack engineer offering experience and insight into solutions to complex problems. He is a skilled communicator and leader who has successfully overseen various projects, with a proven track record of enhancing business operations based on customer specifications. John has also successfully bootstrapped his own forensic linguistics consulting startup and worked in various domains, including biomedical report summarization and author, speaker, or fraud detection.
Portfolio
Noecker & Associates
Java, Node.js, JavaScript, React, Python 3, Software Engineering, MySQL...
Karat
Interviewing, Mentorship & Coaching, Java, Python 3, JavaScript, C++, MySQL...
Enzyme
Java, Ruby, Ruby on Rails (RoR), Spring Boot, Machine Learning, Management...
Experience
- Java - 17 years
- Machine Learning - 15 years
- Python 3 - 12 years
- Mentorship & Coaching - 10 years
- JavaScript - 10 years
- React - 6 years
- Amazon Web Services (AWS) - 6 years
- Node.js - 5 years
Preferred Environment
Java, Node.js, JavaScript, React, Redux, Machine Learning
The most amazing...
...thing I've worked on is a real-time fraud detection system for online sales, which rapidly reacts to emerging market threats.
Work Experience
Freelance Full-stack Developer
2021 - PRESENT
Noecker & Associates
- Provided full-stack development process expertise to meet and exceed client expectations in various technologies and situations as appropriate.
- Participated in the development process, including sprint planning and postmortem meetings.
- Mentored junior developers to assist with best practices and client system knowledge transfer.
Technologies: Java, Node.js, JavaScript, React, Python 3, Software Engineering, MySQL, Express.js, Full-stack, TypeScript, Architecture, Microservices, APIs, Python, API Integration, Front-end, CSS, HTML, Mathematics, Computer Science, Amazon Web Services (AWS), Amazon S3 (AWS S3), Back-end, Web Architecture, Web Development, Serverless, Amazon EC2, AWS Lambda, Serverless Architecture, GraphQL, REST, HTTP REST, REST APIs, Bootstrap, Object-oriented Programming (OOP), API Architecture, WebSockets, Amazon DynamoDB, Redis Cache, DevOps, AWS DevOps, Amazon RDS, Amazon CloudFront CDN, Amazon CloudWatch, Leadership, Terraform, CI/CD Pipelines, Scrum, Git, AWS Amplify, Amazon Cognito, Webhooks, JSON Web Tokens (JWT), RESTful Web Services, Project Management & Work Tracking Tools, API Development, Back-end Development, SaaS, Back-end Architecture, MongoDB, Full-stack Development, Software Architecture, Docker, AWS Cloud Development Kit (CDK), Amazon Aurora, Amazon CloudFront, Amazon Virtual Private Cloud (VPC), Infrastructure as Code (IaC), Linux
Senior Interview Engineer
2019 - PRESENT
Karat
- Conducted fair and consistent technical interviews, utilizing state-of-the-art interviewing technology to maximize signal while ensuring a positive candidate experience.
- Participated in content development, provided feedback, and engaged in question testing to ensure that newly-developed questions were fair, understandable, and level-appropriate.
- Performed quality control on technical interviews to ensure all were conducted to Karat's high standards.
Technologies: Interviewing, Mentorship & Coaching, Java, Python 3, JavaScript, C++, MySQL, Full-stack, TypeScript, Microservices, APIs, Python, CSS, Mathematics, Computer Science, Amazon Web Services (AWS), Amazon S3 (AWS S3), Back-end, Front-end, Web Architecture, Web Development, Serverless, Amazon EC2, AWS Lambda, Technical Leadership, Serverless Architecture, REST, HTTP REST, REST APIs, Bootstrap, Object-oriented Programming (OOP), API Architecture, Leadership, CI/CD Pipelines, Scrum, Git, JSON Web Tokens (JWT), API Development, Back-end Development, Back-end Architecture, Infrastructure as Code (IaC)
Head of Machine Learning
2019 - 2021
Enzyme
- Built a new machine learning division from zero to eight employees over two years.
- Developed hiring processes to find quality qualified candidates and conducted technical interviews.
- Led research and development efforts on the 510(k) report auto summarization project, resulting in the initial product's successful launch.
Technologies: Java, Ruby, Ruby on Rails (RoR), Spring Boot, Machine Learning, Management, MySQL, PostgreSQL, Full-stack, Architecture, Microservices, APIs, Spring, Python, API Integration, Front-end, CSS, HTML, Mathematics, Computer Science, Amazon Web Services (AWS), Amazon S3 (AWS S3), Express.js, Back-end, Web Architecture, Web Development, Amazon EC2, Technical Leadership, GraphQL, REST, HTTP REST, REST APIs, Bootstrap, Object-oriented Programming (OOP), API Architecture, Amazon DynamoDB, Amazon CloudFront CDN, Leadership, ETL, CI/CD Pipelines, Scrum, Git, Webhooks, RESTful Web Services, Project Management & Work Tracking Tools, API Development, Back-end Development, SaaS, Back-end Architecture, MongoDB, Full-stack Development, Software Architecture, Docker, DevOps, Amazon Virtual Private Cloud (VPC), Infrastructure as Code (IaC), Linux
Software Engineer
2016 - 2019
Signifyd
- Designed and trained models for Signifyd's customer fraud protection system.
- Supported the model training pipeline end-to-end, from data collection to real-time decisions.
- Identified new metadata sources and modeling techniques, reducing the loss rate from 24 to 16 basis points.
- Improved at-scale capabilities, increasing the case processing rate from 20 to over 50 cases per second.
- Reduced third-party data costs by more than $100,000 per month.
Technologies: Java, Python 3, Scala, Machine Learning, Amazon Web Services (AWS), Amazon S3 (AWS S3), Amazon Elastic MapReduce (EMR), SQL, Redshift, Weka, NumPy, MySQL, PostgreSQL, Full-stack, Architecture, Microservices, APIs, Spring, Python, API Integration, CSS, HTML, Mathematics, Computer Science, TypeScript, Back-end, Front-end, Web Architecture, Web Development, Amazon EC2, REST, HTTP REST, REST APIs, Object-oriented Programming (OOP), API Architecture, WebSockets, Amazon DynamoDB, Redis Cache, Amazon CloudFront CDN, ETL, Terraform, CI/CD Pipelines, Scrum, Git, Stripe API, Webhooks, RESTful Web Services, Project Management & Work Tracking Tools, API Development, Back-end Development, SaaS, Full-stack Development, Software Architecture, Docker, DevOps, Amazon Virtual Private Cloud (VPC), Infrastructure as Code (IaC), Linux, Amazon Redshift
Chief Scientist
2010 - 2016
Juola & Associates
- Designed and developed tools that employ state-of-the-art techniques for authorship attribution and verification, psychometric stylometry, and first-language detection.
- Directed research efforts and published original findings at industry conferences.
- Identified and connected with potential clients and provided forensic consulting services, personally generating over $1 million in consulting fees.
Technologies: Research, Machine Learning, Generative Pre-trained Transformers (GPT), Natural Language Processing (NLP), Java, Weka, Go, MySQL, Full-stack, Architecture, Microservices, APIs, Python, API Integration, Front-end, CSS, HTML, Mathematics, Computer Science, Back-end, Web Architecture, Web Development, Technical Leadership, REST, HTTP REST, REST APIs, Object-oriented Programming (OOP), API Architecture, Leadership, Scrum, Git, RESTful Web Services, Project Management & Work Tracking Tools, API Development, Back-end Development, SaaS, Back-end Architecture, Full-stack Development, DevOps, Linux
Software Engineer | Research Scientist
2010 - 2014
EVL Labs
- Performed and published original research in computational stylometry and authorship profiling, resulting in approximately 15 peer-reviewed publications.
- Developed in-house tools utilizing machine learning techniques to support the lab's research.
- Created an open-source stylometry-based machine learning library with an easy-to-use graphical interface to allow different experts, such as linguists and historians, to easily experiment with techniques.
Technologies: Java, Research, Machine Learning, Generative Pre-trained Transformers (GPT), Natural Language Processing (NLP), MySQL, Full-stack, Architecture, Microservices, APIs, Python, API Integration, Front-end, CSS, HTML, Mathematics, Computer Science, Back-end, Web Architecture, Web Development, Technical Leadership, REST, HTTP REST, REST APIs, Object-oriented Programming (OOP), API Architecture, Leadership, Scrum, Git, API Development, Back-end Development, SaaS, Back-end Architecture, Full-stack Development, DevOps, Linux
Experience
Real-time Fraud Detection System
A system that integrates with eCommerce platforms, analyzes incoming orders, and uses statistical models to predict the probability that an order is fraudulent.
This eCommerce protection platform provides guaranteed ship or no-ship decisions to merchants in near real-time and supports a throughput of several million daily orders. I contributed to building the platform using Java, Python, Scala, machine learning, AWS, Amazon S3, Amazon EMR, SQL, Redshift, WEKA, and NumPy.
This eCommerce protection platform provides guaranteed ship or no-ship decisions to merchants in near real-time and supports a throughput of several million daily orders. I contributed to building the platform using Java, Python, Scala, machine learning, AWS, Amazon S3, Amazon EMR, SQL, Redshift, WEKA, and NumPy.
Automated Summarization System to Extract QMS Data
A summarization system that automatically scans thousands of pages of work products in the quality management system (QMS) to extract pertinent summary information and assist with the FDA's 510(k) application requirements.
Bringing new medical products and software to the market is a complicated process fraught with pitfalls that can delay the launch or even result in outright denial. I helped to build the automated summarization system, which helps to save time and avoid human error in this process, mainly because historical work documents may have conflicting information that this system could detect and bring to the attention of relevant parties.
Built on Spring Boot, our MVP prototype extracted relevant information on several key categories, such as contraindications or modes of use. I solely handled the MVP's initial design and implementation.
Bringing new medical products and software to the market is a complicated process fraught with pitfalls that can delay the launch or even result in outright denial. I helped to build the automated summarization system, which helps to save time and avoid human error in this process, mainly because historical work documents may have conflicting information that this system could detect and bring to the attention of relevant parties.
Built on Spring Boot, our MVP prototype extracted relevant information on several key categories, such as contraindications or modes of use. I solely handled the MVP's initial design and implementation.
Authorship Attribution Tool for the Scholarly Community
A tool that brings stylometric analysis to folks with a humanities background, who may not be comfortable writing code or with the mathematics behind some common machine learning techniques.
I contributed to building this open-source software, which provides an experimentation engine to facilitate stylometry research and has been widely adopted by the scholarly community.
I contributed to building this open-source software, which provides an experimentation engine to facilitate stylometry research and has been widely adopted by the scholarly community.
Education
2017 - 2020
Master of Science Degree in Computer Science
Georgia Institute of Technology - Atlanta, Georgia, USA
2005 - 2009
Bachelor of Science Degree in Computer Science
Duquesne University - Pittsburgh, Pennsylvania, USA
2005 - 2009
Bachelor of Arts Degree in Mathematics
Duquesne University - Pittsburgh, Pennsylvania, USA
Certifications
AUGUST 2023 - AUGUST 2026
AWS Solutions Architect Associate
Amazon
FEBRUARY 2023 - PRESENT
AWS Technical Accredited
Amazon Web Services
FEBRUARY 2023 - PRESENT
AWS Well-architected Proficient
Amazon Web Services
FEBRUARY 2022 - PRESENT
AWS Technology Architecting
Amazon Web Services
Skills
Libraries/APIs
Node.js, React, REST APIs, API Development, AWS Amplify, Stripe API, NumPy
Tools
Amazon CloudFront CDN, Amazon CloudWatch, Git, Amazon Cognito, Amazon Virtual Private Cloud (VPC), Weka, AWS Cloud Development Kit (CDK), Amazon CloudFront, Amazon Elastic MapReduce (EMR), Terraform, Amazon Athena
Languages
Java, JavaScript, TypeScript, Python, Python 3, SQL, CSS, HTML, GraphQL, C++, Ruby, Scala, Go
Paradigms
Microservices, Web Architecture, REST, Object-oriented Programming (OOP), API Architecture, Scrum, Back-end Architecture, Serverless Architecture, DevOps, ETL, Management
Platforms
Amazon Web Services (AWS), Amazon EC2, AWS Lambda, Linux, Docker
Storage
Amazon S3 (AWS S3), Amazon DynamoDB, MongoDB, MySQL, PostgreSQL, Redis Cache, Redshift, Cassandra, Amazon Aurora
Frameworks
Spring Boot, Express.js, Spring, Bootstrap, JSON Web Tokens (JWT), Redux, Ruby on Rails (RoR)
Other
Mathematics, Computer Science, Software Engineering, Interviewing, Research, Full-stack, Architecture, APIs, Back-end, Technical Leadership, HTTP REST, Amazon RDS, Leadership, CI/CD Pipelines, Webhooks, RESTful Web Services, Project Management & Work Tracking Tools, Back-end Development, SaaS, Cloud Architecture, Full-stack Development, Software Architecture, Machine Learning, Mentorship & Coaching, Natural Language Processing (NLP), API Integration, Web Development, Serverless, WebSockets, AWS DevOps, Generative Pre-trained Transformers (GPT), Infrastructure as Code (IaC), EMR, Front-end, AWS Cloud Architecture, Amazon API Gateway, Amazon Redshift
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