I was internally transferred to spearhead the development of a novel Machine Learning Pipelines product where I played a crucial role in its development. My primary contributions entailed enhancing product stability by rectifying bugs and refining the performance of the Execution Manager.

Additionally, I was instrumental in devising an MVP, leading the research and initial development while working with a team of experts to integrate MLFlow for experiment management and model registry, which constituted a significant product feature.

I was responsible for managing 5 major customer accounts and ensuring their satisfaction with our product. This involved conducting weekly meetings with customers to resolve any issues and responding quickly to any critical problems that arose.

I also played a key role in building Docker images for customer use and integrating third-party tools like TensorBoard, Dash, and SmartSheet. In addition, I resolved a number of network-related issues such as SSL certificates, DNS routing, and network proxies.

My work involved providing continuous feedback to the Engineering team based on my personal experiences with the product and feedback from customers. This helped to ensure that the product remained relevant and met the needs of our customers.

Finally, I built several internal tools that automated the majority of the manual work involved in product version migrations. This significantly streamlined the process and allowed for more efficient and effective product updates.

I was able to significantly reduce new hire on-boarding time by 85%. This was achieved by containerizing both the front and back end applications, and ensuring that the Jenkins pipeline built the latest branch for each image. Additionally, I was responsible for storing, retrieving, and manipulating data in order to analyze system capabilities and requirements.

I tackled metric inconsistencies in the Git data processor by improving legacy code, which resulted in smoother processing and improved data integrity. I also provided support for software integration and implemented maintenance enhancements to bolster the product development cycle.

As part of my efforts to continuously improve system performance, I made proactive adjustments and resolved bugs, resulting in a more stable and efficient system.

As an intern, I had the opportunity to contribute to various aspects of software development. One of my key responsibilities was improving the front-end stability of our applications. To accomplish this, I designed and developed unit, integration, and regression tests that ensured the quality of our codebase.

I also supported my fellow engineers by developing an internal tool for test data generation. This tool helped streamline the testing process and allowed our team to focus on higher-level tasks.

Another important aspect of my role was spearheading new projects. To this end, I created proof-of-concept projects that demonstrated the core value of potential new tools. These projects served as a starting point for further development, helping our team to stay innovative and forward-thinking.