Fabrice Bokovi

Researched and evaluated multiple clinical data storage options (InfluxDB, TimescaleDB, ClickHouse) and recommended TimescaleDB for usability and scalability. Led the architecture and development of a time-series database to ensure auditable, secure management of surgery logs and videos. Built an automated system using the Google Drive API to migrate seven years of clinical data to an on-premises database, preserving data integrity. Developed a Python data pipeline with Pandas and Dask to align video frames with telemetry data, speeding processing by up to 90%. Implemented a REST API backend with EF Core and Dapper. Designed a React/MUI clinical case intake form replacing paper copies to improve data accuracy for reporting. Created a Zoom-like video feature for the surgical console with React and WebRTC. Designed UI components in Figma following modern design principles and established a GitLab CI/CD pipeline to automate tests and builds, reducing deployment time and improving code qua

Researched and evaluated multiple database solutions (InfluxDB, TimescaleDB, ClickHouse) to support future clinical data infrastructure; presented findings to engineering leadership and recommended TimescaleDB based on usability, interpolation capabilities, and scalability. Led architecture and development of a time-series database using TimescaleDB to ensure auditable and secure management of surgical logs and videos, demonstrating data governance. Built an automated data migration workflow using the Google Drive API to transfer seven years of critical clinical data to the on-premises database, preserving data integrity and compliance. Implemented a Python-based data pipeline with Pandas and Dask to align video frame timestamps with telemetry data, speeding up processing by up to 90%. Implemented a REST API backend for the time-series database using Entity Framework Core and Dapper. Designed and developed a clinical case intake form (React, MUI) replacing paper copies, improving data

Researched and evaluated database solutions (InfluxDB, TimescaleDB, ClickHouse) to support future clinical data infrastructure; recommended TimescaleDB. Led architecture and development of a time-series database to ensure auditable and secure management of surgical logs and videos, demonstrating data governance. Implemented an automated system using Google Drive API to migrate seven years of clinical data to the on-premise database, ensuring data integrity and compliance. Built a Python-based pipeline using Pandas and Dask to align video frames with telemetry data, speeding up processing by up to 90%. Implemented a REST API backend for the time-series database using Entity Framework Core and Dapper. Designed and developed a clinical case intake form (React, MUI) that replaced paper copies. Built a Zoom-like video feature for the OR console using React and WebRTC. Created UI components in Figma adhering to modern design principles for intuitive UX. Established a robust CI/CD pipeline wi