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.
Learning has been the singular constant in my life. Whether through contests, hackathons, or side projects, I enjoy continuously pushing myself to learn new skills and solve interesting technical challenges.
I strive to embody a startup mentality. At each of my previous internships, I have taken the intiative to reduce developer toil, increase value to customers, or solve mission-critical problems in addition to completing my core project.
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.
Developed and launched a Golang microservice to analyze configuration changes and estimate their impact on production resource availability. Built a data pipeline that aggregated data from the microservice and generated AngularJS web reports for project managers to review.
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 (all terms), President's Scholarship of Distinction.
12/12 GPA, voluntary withdrawal after second year to focus on computer science.
How I've done.
Get in touch!