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Gabriel Woods Email & Phone Number

Back End Developer | Python Developer at Zillow
Location: Detroit, Michigan, United States 4 work roles 1 school
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Current company
Role
Back End Developer | Python Developer
Location
Detroit, Michigan, United States
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Who is Gabriel Woods? Overview

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Gabriel Woods is listed as Back End Developer | Python Developer at Zillow, a with 6314 employees, based in Detroit, Michigan, United States. AeroLeads shows a matched LinkedIn profile for Gabriel Woods.

Gabriel Woods previously worked as Back End Engineer at Zillow and Software Engineer at Redfin. Gabriel Woods holds Bachelor Of Science, Computer Science from Syracuse University.

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Zillow

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Profile bio

About Gabriel Woods

Backend Engineer with over 8 years of experience in designing and building distributed back-end systems for enterprise-scale applications. Strong advocate of collaboration and mentorship, leading by example and fostering a learning culture. Skilled in developing efficient and scalable solutions to meet business needs, with a focus on delivering straightforward, high-quality results.

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Zillow
Zillow
Back End Developer | Python Developer
seattle, washington, united states
Website
Employees
6314
AeroLeads page
4 roles

Gabriel Woods work experience

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Back End Engineer

Current

· Engineered and deployed Python-based solutions to automate the retrieval and containerization of analysis tools from Docker Hub, streamlining workflow efficiency by 30%.· Developed and maintained Django-based REST APIs, integrating FastAPI to establish a high-performance REST server, enabling real-time data predictions and enhancing client service offerings in the real estate market.· Designed and implemented a state-of-the-art content generation system using Large Language Models… Show more · Engineered and deployed Python-based solutions to automate the retrieval and containerization of analysis tools from Docker Hub, streamlining workflow efficiency by 30%.· Developed and maintained Django-based REST APIs, integrating FastAPI to establish a high-performance REST server, enabling real-time data predictions and enhancing client service offerings in the real estate market.· Designed and implemented a state-of-the-art content generation system using Large Language Models (LLMs), which increased user engagement by 40% through personalized, contextually relevant articles, significantly reducing content creation time and costs.· Automated data extraction, transformation, loading, cleaning, and curation processes on cloud infrastructure using S3 and Postgres, replacing manual tasks and freeing up team resources.· Delivered deep learning solutions for various internal use cases, utilizing custom-trained/fine-tuned BERT, LLM, sentence embedding, cross-encoder, and collaborative filtering models.· Ensured data accuracy and integrity by implementing rigorous problem-solving methodologies, boosting data-driven decision-making efficiency by 25%.· Led comprehensive code reviews and established stringent testing and debugging protocols, reducing production defects by 20% and elevating code quality.· Played a key role in designing and executing a cloud-based microservices architecture utilizing AWS, achieving a 20% improvement in system scalability and reliability, supporting Zillow's mission to deliver cutting-edge real estate data solutions. Show less

Apr 2021 - Present

Software Engineer

· Enhanced web application performance by 30% through the optimization of backend solutions, leveraging Python and Node.js for increased efficiency.· Implemented NLP techniques for complex languages, focusing on understanding linguistic concepts such as inflections in question answering systems.· Utilized deep learning methods to eliminate manual feature engineering, enabling models to develop their own feature representations.· Conducted feature selection and engineering to… Show more · Enhanced web application performance by 30% through the optimization of backend solutions, leveraging Python and Node.js for increased efficiency.· Implemented NLP techniques for complex languages, focusing on understanding linguistic concepts such as inflections in question answering systems.· Utilized deep learning methods to eliminate manual feature engineering, enabling models to develop their own feature representations.· Conducted feature selection and engineering to identify correlations with fraud patterns, improving the accuracy of fraud detection models.· Developed a Single Page Application (SPA) utilizing GraphQL and Elasticsearch, enabling advanced search and filtering of hundreds of millions of properties nationwide, significantly improving user interaction and data retrieval speed.· Architected and maintained a comprehensive suite of RESTful APIs and GraphQL services using Node.js, managing over 100,000 transactions daily on a high-traffic platform.· Engineered robust backup strategies and automated file synchronization processes using Rsync, integrated with Git for version control, and established a CI/CD pipeline, enhancing code deployment efficiency.· Championed agile methodologies across multidisciplinary teams, streamlining the journey from product design to software development and deployment, fostering a culture of productivity and collaboration. Show less

Sep 2019 - Apr 2021

Back End Developer

· Developed an API using Strapi and PostgreSQL to aggregate transaction data from multiple sources, enabling comprehensive data analysis for operational assessments.· Engineered scalable and robust backend solutions using Python, Django, MySQL, Neo4j, Gremlin, and Py2neo, enhancing system reliability and performance for handling extensive data sets and complex queries.· Advanced the application of object-oriented programming (OOP) principles through Python (Django, Flask) within a Linux… Show more · Developed an API using Strapi and PostgreSQL to aggregate transaction data from multiple sources, enabling comprehensive data analysis for operational assessments.· Engineered scalable and robust backend solutions using Python, Django, MySQL, Neo4j, Gremlin, and Py2neo, enhancing system reliability and performance for handling extensive data sets and complex queries.· Advanced the application of object-oriented programming (OOP) principles through Python (Django, Flask) within a Linux environment, contributing to modular and efficient software development.· Authored comprehensive documentation for RESTful APIs using Swagger, improving clarity and usability for internal teams and third-party partners.· Led the development and execution of unit and integration testing, ensuring robustness and reliability in software deliverables.· Optimized testing workflows with Pytest, significantly enhancing efficiency and effectiveness, resulting in the delivery of high-quality, reliable software. Show less

Mar 2018 - Sep 2019

Python Developer

· Managed extensive datasets by integrating data frames with MySQL, utilizing the Python-MySQL connector DB package to execute complex queries and retrieve critical information, streamlining data management processes.· Engineered real-time, multi-tasking systems with Python, enhancing operational efficiency and enabling the simultaneous execution of multiple processes without performance degradation.· Developed Python code for comprehensive data manipulation, using Django for creating… Show more · Managed extensive datasets by integrating data frames with MySQL, utilizing the Python-MySQL connector DB package to execute complex queries and retrieve critical information, streamlining data management processes.· Engineered real-time, multi-tasking systems with Python, enhancing operational efficiency and enabling the simultaneous execution of multiple processes without performance degradation.· Developed Python code for comprehensive data manipulation, using Django for creating graphics, processing XML documents, and facilitating data exchange and business logic between servers, resulting in a more dynamic and interactive user experience.· Debugged and resolved message encoding issues in server-to-server communication with third-party partners, preventing potential penalty fees due to high-volume transactions, leading to significant cost savings and enhanced reliability of data exchange mechanisms. Show less

Nov 2016 - Mar 2018
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Colleagues at Zillow

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1 education record

Gabriel Woods education

FAQ

Frequently asked questions about Gabriel Woods

Quick answers generated from the profile data available on this page.

What company does Gabriel Woods work for?

Gabriel Woods works for Zillow.

What is Gabriel Woods's role at Zillow?

Gabriel Woods is listed as Back End Developer | Python Developer at Zillow.

Where is Gabriel Woods based?

Gabriel Woods is based in Detroit, Michigan, United States while working with Zillow.

What companies has Gabriel Woods worked for?

Gabriel Woods has worked for Zillow, Redfin, Audible, and Caradvise.

Who are Gabriel Woods's colleagues at Zillow?

Gabriel Woods's colleagues at Zillow include Cameron Liu, Gary Flaskegaard, Sathish Kumar Somasundaram, Yulong Wang, and Zhiqing Yao.

How can I contact Gabriel Woods?

You can use AeroLeads to view verified contact signals for Gabriel Woods at Zillow, including work email, phone, and LinkedIn data when available.

What schools did Gabriel Woods attend?

Gabriel Woods holds Bachelor Of Science, Computer Science from Syracuse University.

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