Skip to content

driphireweb/resume

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 

Repository files navigation

Jeff Corliss

Chief Technology Officer (CTO)

Location: Los Angeles, CA
Email: jeff.corliss@example.com
LinkedIn: linkedin.com/in/jeffcorliss
GitHub: github.com/jeffcorliss


Summary

Seasoned technology leader with over 15 years of experience in software development, cloud architecture, and AI-driven solutions. Proven track record in building and managing high-performing teams, driving product innovation, and scaling businesses from inception to multi-million dollar revenue. Seeking AI-focused leadership roles in dynamic and emerging industries.


Technical Skills

  • Cloud Platforms: Google Cloud Platform (GCP), Firebase, AWS, Azure
  • Search & AI: Typesense, Chroma, Algolia, OpenAI, Anthropic, Huggingface, Elasticsearch
  • Frontend: Vue3, React, Tailwind CSS, Ant Design, Storybook, Pinia (for Vue), Vuex, Redux, SASS, LESS, Webpack, Vite
  • Backend: Node.js, PHP, Serverless Architecture, Express.js, NestJS, GraphQL, RESTful APIs, Microservices
  • Databases: SQL (MySQL, PostgreSQL), NoSQL (MongoDB, Firebase Firestore, DynamoDB), Redis, Elasticsearch, Vector (Chroma, Faiss, Typesense vector, Pinecone, etc)
  • DevOps: CI/CD (Jenkins, GitHub Actions, GitLab CI), Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, Helm
  • Testing & Quality Assurance: Test-Driven Development (TDD), Behavior-Driven Development (BDD), Jest, Mocha, Chai, Cypress, Selenium, JUnit, PyTest
  • Other: Custom Design Language Systems (DLS), Data Pipelines, Visualization Dashboards, Apache Kafka, RabbitMQ, gRPC, OAuth, JWT, WebSockets, API Gateway, Load Balancing, Monitoring & Logging (ELK Stack, Splunk), Agile & Scrum Methodologies, Version Control (Git, SVN), Code Review & Collaboration (Bitbucket, GitHub, GitLab)

AI and Machine Learning

Model Training and Vertex AI Technologies

As a CTO with a strong focus on AI and machine learning, I have extensive experience in model training and leveraging advanced AI technologies. Below are the key Vertex AI technologies and stack components I have utilized:

  • Workbench: Integrated Jupyter-based environment for building, training, and deploying ML models.
  • Pipelines: Managed service for orchestrating ML workflows, enabling reproducibility and CI/CD for ML models.
  • Training: Scalable service for training ML models using custom containers or pre-built environments.
  • Prediction: Managed service for deploying ML models for real-time or batch predictions.
  • Feature Store: Centralized repository for managing, sharing, and serving ML features.
  • Model Monitoring: Service for monitoring the performance and behavior of deployed models.
  • Experiments: Tool for tracking and comparing ML experiments.
  • Metadata: Service for managing and tracking metadata related to ML workflows.
  • Explainable AI: Tools and techniques for understanding and interpreting model predictions.

AI and ML Stack

  • Data Ingestion and Preprocessing: Apache Beam, Dataflow, BigQuery
  • Model Development: TensorFlow, PyTorch, scikit-learn
  • Hyperparameter Tuning: Vertex AI Vizier
  • Model Deployment: Vertex AI Prediction, Kubernetes, Docker
  • Monitoring and Maintenance: Vertex AI Model Monitoring, Prometheus, Grafana
  • Collaboration and Version Control: Git, GitHub, Vertex AI Experiments

Professional Experience

Chief Technology Officer (CTO)

Qualle
Los Angeles, CA
Drayage Logistics Marketplace
January 2021 - Present

  • Leadership & Team Management: Built and managed both domestic and offshore teams, fostering a culture of innovation, collaboration, and high performance. Conducted regular performance reviews, provided mentorship, and facilitated professional development opportunities.
  • Strategic Planning: Developed and executed the company's technology strategy in alignment with business goals. Set OKRs and KPIs to measure progress and drive continuous improvement.
  • Product Development: Spearheaded the first integration with Maersk, developing an internal portal for their landside equipment division. Led the design and development of a multi-sided marketplace for drayage logistics, ensuring scalability and robustness.
  • Fundraising & Financial Management: Played a key role in raising $2M in venture capital. Managed the technology budget, ensuring optimal allocation of resources to meet strategic objectives. Successfully scaled the company from $0 to over $1.5 million in Annual Recurring Revenue (ARR)
  • Cloud Architecture: Architected a fully cloud-native solution using GCP and Firebase, ensuring high availability, security, and performance.
  • Innovation & R&D: Continuously explored emerging technologies and trends to drive innovation. Implemented AI and machine learning solutions to enhance product offerings.
  • Stakeholder Engagement: Collaborated with key stakeholders, including investors, partners, and customers, to gather feedback and ensure alignment with business objectives.
  • Design & UX: Designed and implemented a comprehensive design language system, ensuring a consistent and intuitive user experience across all platforms.
  • Risk Management: Identified potential risks in technology projects and implemented mitigation strategies to ensure project success.
  • Compliance & Security: Ensured all technology solutions adhered to industry standards and compliance requirements, including data privacy and security regulations.

Senior Cloud Engineer (Contract)

Nike
Remote
March 2020 - November 2021

  • Data Engineering: Designed and implemented ETL and data pipelines for footwear analytics using AWS and serverless technologies, ensuring data accuracy and reliability.
  • Frontend Development: Developed a user-friendly frontend UI to display key statistics to stakeholders, enhancing data-driven decision-making and operational efficiency.
  • Cross-Functional Collaboration: Partnered with data scientists, analysts, and business stakeholders to gather requirements and deliver impactful solutions.
  • Performance Optimization: Applied performance optimization techniques to ensure fast and responsive data processing and visualization.
  • Documentation & Training: Created comprehensive documentation and conducted training sessions to ensure smooth knowledge transfer and onboarding of new team members.
  • Quality Assurance: Implemented rigorous testing protocols to ensure the reliability and accuracy of data pipelines and frontend applications.

Tech Lead

DreamWorks
Los Angeles, CA
February 2019 - October 2020

  • Dashboard Development: Developed internal visualization dashboards, schema visualization, and editing tools to support data-driven decision-making.
  • Team Management: Managed an offshore team in Ukraine, ensuring timely delivery and high-quality work. Conducted code reviews and provided technical guidance.
  • Integration: Spearheaded integrations with the DreamWorks production team, ensuring seamless data flow and collaboration.
  • Frontend & Backend Development: Utilized React, Ant Design, and custom DLS with Storybook for frontend development. Developed backend services using Node.js.
  • Quality Assurance: Implemented rigorous testing protocols and automated testing frameworks to ensure high-quality code and system reliability.
  • Project Management: Coordinated project timelines and deliverables, ensuring alignment with business objectives and stakeholder expectations.

Lead Software Engineer

Disney
Los Angeles, CA
April 2017 - September 2019

  • CMS Development: Developed an internal CMS for the consumer products division, managing thousands of terabytes of data. Ensured data integrity and security.
  • AI & Automation: Built an early AI metatagging asset ingestion tool, significantly increasing the productivity of the metadata team. Implemented asset-level ACL and security rules.
  • Team Collaboration: Worked closely with cross-functional teams, including product managers, designers, and data scientists, to deliver high-quality solutions.
  • Scalability: Ensured the CMS was scalable to handle increasing data volumes and user demands.
  • User Training: Conducted training sessions for end-users to ensure effective utilization of the CMS and AI tools.

Engineer 3 (Contract)

Oracle
Seattle, WA
May 2016 - December 2017

  • Ecommerce Solutions: Developed scalable and robust eCommerce platforms for CX Cloud Fusion, similar to Shopify.
  • Collaboration: Partnered with senior engineers and product managers to gather requirements and deliver impactful solutions.
  • Performance Optimization: Applied performance optimization techniques to ensure fast and responsive eCommerce experiences.
  • Code Quality: Ensured high code quality through code reviews, unit testing, and adherence to best practices.
  • Feature Development: Contributed to the development of new features and enhancements, ensuring alignment with business goals and user needs.

Engineer 2

Nordstrom
Seattle, WA
February 2014 - November 2016

  • Feature Development: Contributed to the core team, working on shopping cart, reviews and ratings, and A/B testing features. Ensured high-quality and user-friendly implementations.
  • Collaboration: Worked closely with senior staff to enhance the user experience and functionality of Nordstrom's online platform.
  • Performance Optimization: Implemented performance optimization techniques to ensure fast and responsive user experiences.
  • User Feedback: Gathered and analyzed user feedback to continuously improve features and user experience.
  • Quality Assurance: Conducted thorough testing and debugging to ensure the reliability and performance of new features.

UX Engineer

Amazon
Seattle, WA
March 2012 - December 2014

  • Ad Development: Worked in the Kindle ADX Advertising group, redesigning and developing ad templates. Ensured high-quality and engaging ad experiences.
  • Tool Development: Developed a bolt-on search tool for the Amazon CMS (Content Symphony), improving the efficiency of content management.
  • Collaboration: Worked closely with designers, product managers, and engineers to deliver high-quality solutions.
  • User Experience: Conducted user research and usability testing to ensure ad templates met user needs and preferences.
  • Innovation: Explored and implemented new technologies and design trends to enhance the user experience and engagement.

Founder/CEO

Whitebox Laboratories
Seattle, WA
January 2005 - August 2012

  • Business Development: Founded and led a web development agency, building websites and apps for various clients. Ensured high-quality and timely delivery of projects.
  • Technical Leadership: Utilized technologies such as WordPress, Drupal, PHP, JavaScript, and CSS to deliver high-quality solutions. Provided technical guidance and mentorship to the team.
  • Client Engagement: Worked closely with clients to understand their requirements and deliver impactful solutions. Ensured high levels of client satisfaction.
  • Project Management: Managed multiple projects simultaneously, ensuring on-time delivery and adherence to budget constraints.
  • Marketing & Sales: Developed marketing strategies and sales pitches to attract new clients and grow the business.

Education

Design/Computer Science
Mt. San Antonio College
Walnut, CA


Projects

  • AI Metatagging Tool: Developed an AI-driven tool for Disney to automate the metatagging process, increasing efficiency by 300%.
  • Drayage Logistics Marketplace: Built a multi-sided marketplace for Qualle, integrating with major logistics providers like Maersk.

References

Available upon request.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors