• Provided key support to the Large Languages Model Team in developing a Python system for integration of LLM based summary the core product. A system that required a large degree of accuracy due to the sensitivity of the data.• Researched and Implemented specific compliance SOC-2 based rules in Terraform based IaC. Ensuring compliance and automating work away from the Ops team.• Created new GitHub Issues templates to enhance deployment requests, reducing process time by 10% and… Show more • Provided key support to the Large Languages Model Team in developing a Python system for integration of LLM based summary the core product. A system that required a large degree of accuracy due to the sensitivity of the data.• Researched and Implemented specific compliance SOC-2 based rules in Terraform based IaC. Ensuring compliance and automating work away from the Ops team.• Created new GitHub Issues templates to enhance deployment requests, reducing process time by 10% and overall making the process more manageable.• Monitored and maintained daily database backups, as well as migrating critical databases during deployments in both production and non-production, ensuring the 98% uptime SLA by performing these tasks during off-peak hours.• Improved monitoring and logging visualizations with Grafana and Prometheus, leading to a 15% reduction in time spent interpreting the graphs.• Created a groundbreaking retrospective meeting that led to a 20% reduction in release process errors, fostering a culture of candor-based blameless improvements to our systems.• Oversaw the deployment and a weekly operations rotation of both production and non-production AWS environments with complex network configurations. Achieving a 97% uptime by doing late night deployments.• Successfully resolved >3 support tickets weekly by implementing Infrastructure as Code (IaC) and declarative configuration management using Terraform, Nix, and NixOS, resulting in a significant reduction of the backlog. Show less

• Spearheaded the project to migrate our infrastructure to Google Kubernetes Engine (GKE) from a Docker Compose deployment, resulting in a 5% increase in uptime by leveraging Kubernetes to automatically restart crashed containersand maintain state.• Conducted a course on Kubernetes for the team, ensuring their proficiency with the technology and allowing the team to succeed with the migration.• Enhanced efficiency by reducing Bitbucket Pipelines CI/CD build times by 50%… Show more • Spearheaded the project to migrate our infrastructure to Google Kubernetes Engine (GKE) from a Docker Compose deployment, resulting in a 5% increase in uptime by leveraging Kubernetes to automatically restart crashed containersand maintain state.• Conducted a course on Kubernetes for the team, ensuring their proficiency with the technology and allowing the team to succeed with the migration.• Enhanced efficiency by reducing Bitbucket Pipelines CI/CD build times by 50% through transitioning test asset setup to a Docker base image and relocating Bitbucket Pipelines runners to an on-premises Kubernetes pod.• Led cross-functional teams in adopting DevOPS and Data Science best practices, becoming the primary technical resource for them. Addressing 2-3 system inquiries per week via Slack.• Explained machine learning fundamentals to major clients on a regular basis, incorporated their feedback into updates,and reduced follow-up queries by 25%.• Proactively introduced new technologies and methodologies to the team from PyCon and other industry sources with minimal supervision.• Managed the quality assurance of our custom built Python ETL pipeline, collaborating with the process engineering department to ensure accurate daily results for 6 total large global customers in the Middle East and Australia .• Lead contributor of testing code to team source code repositories via Pytest, resulting in a 15% reduction in bugs and an increase in overall system efficiency.• Designed and implemented a microservice-based API a results API for machine learning forecasts using FastAPI, Pydantic, and Pytest with 95% test coverage. Show less

• Utilized TensorFlow, scikit-learn, XGBoost, PCA, Feed Forward Neural Networks, and a range of proprietary optimizers to develop a time series forecasting neural network model for desalination plant optimization. Showcasing my ability to learn new technologies quickly and adapt my skills to the problem at hand.• Translated ambiguous business ideas into a product customers paid for while serving as a founding engineer at a brand new startup, demonstrating adaptability and a positive… Show more • Utilized TensorFlow, scikit-learn, XGBoost, PCA, Feed Forward Neural Networks, and a range of proprietary optimizers to develop a time series forecasting neural network model for desalination plant optimization. Showcasing my ability to learn new technologies quickly and adapt my skills to the problem at hand.• Translated ambiguous business ideas into a product customers paid for while serving as a founding engineer at a brand new startup, demonstrating adaptability and a positive attitude throughout the startup process.• Created a Python-based minimum viable product to deploy this model, achieving 95% uptime and consistent daily results.• Constructed scalable ETL data pipelines using Python data for water plant optimization, A system that resulted in a 5% decrease in the carbon footprint and operational costs when deployed on a plant.• Created customer facing reports visualizations of results in Tableau, Plotly and Matplotlib and worked with product managers and data scientists to ensure an accurate data story. As well as adapting my product based on their feedback.• Educated the growing team on proper Git practices and set up and maintained the CI/CD pipelines using Bitbucket pipelines.• Built and designed the initial PostgreSQL database from scrach. This includes coming up with a functional schema and creating the corresponding Python integrations in the codebase.• Estimated and fulfilled software deadlines,consistently delivering high-quality results on time and within budget.• Managed on-call duty throughout the entire duration of employment, maintaining a 98% uptime and ensuring critical machine learning results reached customers.• Worked remotely throughout the entire duration of employment. Meaning that I was a remote professional before2020 Show less

- Communicated with end-users to determine their needs and provided technical support to users.- Took full responsibility for the production HyperV servers and their uptime.- Maintained a custom Microsoft Access database in VBA for over 10 users, adding features and fixing bugs.- Deployed the software to those users, ensuring that the new software works for them.- Remotely administered IT environment with remote desktop while attending university.

- Communicated visual ideas to other editors- Collaborated with an editorial board- Managed tight production schedule- Resolved disputes between volunteers