Personal details
Gerry W.
Senior Software Engineer
Based in: 🇺🇸 United States
Timezone: Central Time (US & Canada) (UTC-5)
Summary
I am a collaborative, fun, gregarious, and little-to-no-ego, hands-on true full stack software engineer (front, back, devops, and observability). I am an empathetic, friendly, creative, and pragmatic problem-solver with proven abilities to thrive in a fast-paced, technically challenging environment. My robust business background gives me the ability to provide mature analysis to current problems.
Work Experience
Senior Software Engineer
Evisort | Nov 2022 - Present
Python
Django
Machine Learning
Elasticsearch
Docker
NLP (Natural Language Processing)
Datadog
Terraform
AWS (Amazon Web Services)
- Sr. Software Engineer responsible for building dashboard features using Python, Django, and ElasticSearch for an NLP focused contract management application.
- Responsibilities included adding detailed observability utilizing Open Telemetry, Prometheus, Grafana, Honeycomb in addition to implementing key features related to AWS’s S3, EC2, OpenSearch, API Gateway, Lambda, DynamoDB, and RDS.
- Architected and implemented backend services to retrieve complex aggregations from ElasticSearch.
- Initiated and upgraded the Python application and its dependencies from Python 3.7 to Python 3.10.
- Uncovered a large, unnecessary database expense by implementing code which removed 300 million cells of data from aPostgres database (RDS).
Senior Software Engineer
Conduit Financial | Jun 2022 - Sep 2022
TypeScript
JSON API
Terraform
NestJS
AWS (Amazon Web Services)
- Sr. Software Engineer responsible for building a JSON / API compliant API at the intersection of the WEB2 and WEB3 space utilizing the following technologies: Typescript, Node, NestJS, and AWS (Step Functions, SQS, Lambda, API Gateway, DynamoDB, and RDS).
- Responsible for building Terraform recipes to be deployed to AWS as well as implementing Consul & Vault for key value storage and retrieval.
- Architected and implemented AWS step functions for an authentication and cryptocurrency pair trading service.
Education
Syracuse University
Master's degree・Computer Science
Apr 2018 - May 2021
Personal Projects
2020
Python
NumPy
Pandas
Machine Learning
NLP (Natural Language Processing)
TensorFlow
Keras
Project focusing on both unstructured and structured data, using Natural Language Processing.
COVID-19, short for "coronavirus disease 2019", has majorly affected millions of people around the globe. In the U.S. alone as of the end of this week (June 1, 2020), there have been 1,790,191 total cases, with 104,383 deaths. In the entire world, there have been 6,166,978 cases, with 372,037 deaths, these are just the reported cases. Our focus in this research is in evaluating a repository of research papers to extract knowledge related to COVID-19 and possible treatments. Driven by the COVID-19 Open Research Dataset Challenge from Kaggle, we focused on a subset of that, COVID-19 Pulmonary Risks Literature Clustering.
The second dataset we are using is from the Maryland Transportation Institute (MTI). The data is broken up into four categories: (1) Mobility and Social Distancing, (2) COVID and Health, (3) Economic Impact, and (4) Vulnerable Population. The data is sourced from NPR, ESRI, The COVID Tracking Project, CDC, and several other sources. MTI then takes the data and calculates the values for the respective columns. MTI has been the source of several papers regarding mobility impact, social distancing, stay-at-home orders, and non-pharmaceutical interventions.
Certifications & Awards
NA