As a Technical Lead at OneOrigin, I drive the development of innovative web applications and data solutions, with a strong emphasis on scalability, cloud infrastructure, and efficient data management. My leadership has been pivotal in the successful delivery of complex projects, including the creation of Triangulator, a course equivalency suggestion engine built on AWS Neptune and Python. This project involved managing large-scale datasets with millions of nodes and edges, providing clients with accurate and actionable data insights.

Key Responsibilities & Achievements:

Project Leadership: Led a team in developing and optimizing ELT/ETL pipelines, resulting in a 10x improvement in data ingestion speed and reducing data inconsistencies to less than 1%.

Cloud Architecture: Implemented Infrastructure as Code (IaC) using Terraform, automating cloud resource provisioning and reducing deployment times by 50%.

Backend Engineering: Developed scalable RESTful APIs using Flask, contributing to enhanced backend efficiency and reliability.

Client Liaison: Served as the primary technical contact, ensuring alignment between technical solutions and business objectives, leading to successful project outcomes and high client satisfaction.

Performance Optimization: Spearheaded initiatives that reduced cloud environmental costs by 57% and improved the performance of large graph queries by 7x, significantly enhancing application stability.

In this role, I continue to refine my expertise in cloud technologies, data engineering, and team leadership, consistently delivering solutions that exceed client expectations and drive business success.

In my role as an Associate Technical Lead, I played a crucial role in bridging the gap between development and management, guiding a team of engineers in the implementation of scalable and efficient software solutions. During this period, I was instrumental in the early stages of the Triangulator project, setting the foundation for its success.

Key Contributions:

Team Leadership: Enhanced the productivity of a 4-member team by streamlining processes and ensuring the successful integration of complex data pipelines with AWS services.

Technical Development: Worked closely on developing the backend architecture, including RESTful APIs and the implementation of IaC practices using Terraform, which improved deployment efficiency and consistency.

Client Collaboration: Engaged directly with clients to gather requirements, provide technical insights, and ensure that the delivered solutions met their needs and expectations.

Performance Improvement: Contributed to optimizing cloud-based solutions, leading to a significant increase in system performance and reliability.

This role allowed me to sharpen my leadership skills, deepen my technical expertise, and lay the groundwork for my subsequent promotion to Technical Lead.

As a Software Engineer II at OneOrigin, I was responsible for developing robust backend solutions and integrating advanced machine learning models into our projects. My work primarily focused on building scalable applications and improving data processing pipelines.

Notable Projects & Achievements:

Machine Learning Integration: Developed a TensorFlow-based computer vision model for human behavior analysis, which was seamlessly integrated with existing data pipelines.

Automation & Efficiency: Created an automated website monitoring tool using JavaScript and AWS, demonstrating my ability to enhance backend systems and streamline operations.

Data Pipeline Management: Played a key role in the development and maintenance of data pipelines, handling large, interconnected datasets that enhanced processing efficiency and data quality.

Cross-Functional Collaboration: Worked closely with other teams to ensure that our backend solutions supported frontend requirements, contributing to the overall success of our projects.

This role provided a solid foundation in backend development, data engineering, and machine learning, setting the stage for my advancement within the company.

• Contributed to multiple scientific open source software projects.

• Performed quality control and created reporting metrics to ensure full functionality from the production environment.

• Developed a CLI tool to allow a user to download and interact with mission specific data, acquired from various global aerospace agencies, directly through the use of AWS S3 Buckets.

• Built data pipelines to support back end functions to preface team's development to front end.