Welcome to my site!
My name is Jeff.
I like to build things.
ML models & pipelines...
...you name it!
If it's challenging...
You can bet I'll love it.
Check out my work ↓!
Welcome to my site!
Full Stack Developer | ML & Cloud Engineer | Co-founder of Open Mind
What I'm all about.
I am a highly driven and inquisitive engineer with a passion for the sciences, a love for the arts, and a strong commitment to community.
Apart from change, learning has been the singular constant in my life. From business to chemistry, web dev to machine learning, I have always spent my time gaining the skills I can use to make the greatest positive impact on myself and others. My latest focus, in addition to my curricular computer science studies, is entrepreneurship and project management - the art of driving an idea home from start to finish.
What I can do.
React, Redux, Meteor and anything else that can be npm-installed
Artificial neural nets, convolutional neural nets, Bayes classifiers
AWS λ, EC2, EC2 ASG/ELB, ECS, SQS, CloudWatch, SNS...and Azure
Jenkins, CircleCi, Slack Integrations, Dependency Caching, Microservices
NodeJS/ExpressJS servers, nginx load balancing, Dockerized services
A passion for delivering above and beyond expectations every time
Where I've been.
Designed a Kubernetes service to predictively adjust AWS capacity in response to internal testing demand, saving 1.3 million dollars in the first year. Expanded Splunk's supported platforms to Kubernetes with a custom operator capable of bootstrapping distributed Splunk deployments.
Managed development of a blockchain lending platform in an Agile scrum team. Created and ensured adherence to product roadmap. Led investor communications by drafting the product whitepaper and pitch emails, which ultimately secured funding from the 1517 investment fund.
Overcame a company-wide blocker by proposing and implementing an auto-scaling, self-replicating EC2 cluster capable of bypassing Instagram’s 200 request/hr API rate limit. Built a triplet convolutional net in Pytorch to identify stylistically similar Instagram users. Developed this model into a content sourcing feature, enabling client managers to automatically find relevant images to repost on customers’ Instagram accounts.
Implemented a location-based search results caching feature using the Java Spring framework and PostgreSQL, improving load time by an average of 45%. Designed and implemented a cross-domain cookie authentication system to securely load and cache proprietary images from a partner company. Overhauled CI system by upgrading Jenkins, porting a Windows build process to Linux, and refactoring Selenium tests, saving at least $50,000 in hardware maintenance costs.
How I've learned.
4.97/5 GPA, Dean's Honor List three terms in a row (all terms since first semester in freshmen year), President's Scholarship of Distinction.
12/12 GPA, voluntary withdrawal after second year.
How I've done.
Get in touch!