• Led planning, task delegation, and implementation for a new greenfield machine learning development experience that allowed users to rapidly train, test, and deploy Large Language Models.

• Collaborated with stakeholders, including product managers and designers, to gather requirements, define project goals, and align technical solutions with business objectives and coordinated efforts across interdisciplinary and cross-functional teams, including frontend, backend, DevOps, and machine learning engineers to deliver cutting-edge software solutions.

• Built frontend and backend applications, as well as command line interfaces using Python, Golang, ReactJS, Kubernetes, Kserve, MLFlow, Llama Index, and Postgres to enable large scale distributed machine learning workflows.

• Developed, maintained, and improved the open-source HPE Machine Learning Development Environment software application including planning and implementing features that were highly requested by users as well as increasing software stability.

• Collaborate with backend developers, UX designers, and product managers to implement front end applications using ReactJS, NextJS, ReTool, and TypeScript.

• Develop server less applications using the AWS platform including AWS Lambda, Lambda@Edge, and DynamoDB.

• Improved monitoring and observability across multiple applications and infrastructure utilizing New Relic, Terraform, Google Cloud Platform, and Kubernetes.

• Led initiatives, worked with clients, and developed backend systems to support a wide range of integrations allowing third parties to sell various insurance products through Bestow’s Protect API.

• Utilized both data and domain driven design to decrease code complexity and enable faster development iteration.

• Collaborate with clients and various interdepartmental teams to create intelligent transportation systems and applications in an agile manner.

• Refactor legacy monolithic systems into modernized service orientated applications primarily using AngularJS, Python, and Java.

• Architected, developed, and took ownership of one of the startup’s flagship products, the Smart Cities Control Center, which allows users to manage, monitor, and configure roadside devices and connected vehicles in real time.

• Utilized various technologies and API’s, including Python, Django, Java, Google Protobuf, Grafana, Graphite, Docker, Jenkins, and more to build various software applications and services.

• Handled and executed all parts of the software development life cycle including agile development, testing, CI/CD, and maintenance.