Golda Velez

Creating transparency in health care pricing! Designing data models and pipelines to make the best use of domain-specific Agentic AI.

Watching the bytes go by. I do observability. Specifically - ceramicnetwork/observability package, produce weekly metrics for executive meeting, on-call and support for decentralized node operators. Have worked with growth team, diagnosing issues with performance, onboarding flows for operators. Typescript, python, terraform, ansible. Some rust.

Order Platform Team - data pipes!

Fighting the bad guys

Designed and led implementation of a pandas-based pipeline for cleaning, normalizing and resolving campaign finance data and donor features. Also ML/analysis. Stack: Python/pandas/MySQL on AWS/ Flask/Google APIs

Data and analytics. Designed event data processing system to pull events from Moodle and perform real-time reporting with strong privacy protections. Also Django-based system for gathering educational objects and mapping to multiple curricula. Stack: Django/ MySQL/ Nginx; Django Rest Framework; scrapy

Internet Workshop, a search technology company. Licensee and developer of Webglimpse and Glimpse local search engines. Lectured, created websites, administered servers for approx 100 clients. Created customized search and document management solution for National Law Center for Inter-American Free Trade. Led projects of 2-5 programmers for various client projects. Perl, PHP, MySQL, Javascript primarily. Some Java. Innovated techniques using compressed bit vectors to speed up category browsing and searching. Wrote freelance articles for Linux Journal, Wall St & Technology and Semantic Report. "The Searchable Site" - https://www.linuxjournal.com/article/8379

Implemented spider/votes system for aggregating data from disparate sources. Scraped, cleaned, normalized and imported approximately 1M attorney data points from individual bar associations and other sources. Stack: Django/MySQL, Highcharts

Designed and implemented REST interface in Perl for management of large scale data storage systems (SAN/NAS)

a New York based startup company in the area of personalization and recommendation systems. Managed team, wrote backend for recommendation system in Java and Perl using RESTlet framework. Wrote "poor man's classifier" to do sentiment analysis using configurable rules in XML. Retrieved mashup data using Eventful, Yelp, Amazon APIs. Debugged issues with YUI-based Javascript front end. Designed architecture for producing optimized recommendations for combinations of friends in a social network. Wrote PRD and SOW documents for clients. Wrote small Facebook application.

user interface in C++ for imaging application. Interfaced with code from 4-5 other engineers providing image processing, database interface, printer interface. Had dumb idea to create the UI as a DTD, implemented that way instead of using a RAD tool. Project was successful anyway.

LANtastic networking assembly code. Specialized in tracing bugs in NetBIOS layer. Worked closely with test engineering group and provided in-house beta testing for new versions. Managed relationship with the vendors for Lantastic for Macintosh and our OEM'd TCP/IP stack. Supervised small development project of a user interface/installation program.

Sun workstation and wrote scripts to use DNA and protein sequence matching algorithms. Also wrote small application 'GeneBook' in DBASEIII+ on Windows to manage sequence repository.

Wrote C code to do real-time imaging on OC-300 processing board.