Built a pipeline orchestration system using AWS and Kubernetes which improved reliability and speed of customer data delivery.

Implemented data corrections and transformations in Spark and Scala that enabled new insights by both the data team and customers.

Deployed and managed services in Kubernetes using Helm, facilitating simpler, more reliable deployments and releases.

Managed infrastructure with Terraform, automating repetitive tasks and increasing the recoverability and resilience of systems.

Automated legacy code to enable regular updates of internal tooling vital to the data scientists' work.

Mentored and paired with junior engineers, improving the productivity and culture of the team.

Designed, developed, trained and tuned neural networks to solve NLP problems in pharmacovigilance, including NER and classification tasks.

Developed a microservice that determines if an adverse event is serious, including a RESTful API and neural network backend.

Developed an automatic tuning module to help determine the best network structure and hyperparameters for a given problem.

Worked in HIPAA and GDPR compliant environments adhering to regulation to protect the privacy of patients as well as fulfill FDA requirements.

Maintained close direct contact with business partners to ensure solutions fulfilled functional requirements and complied with regulatory constraints.