Chief Operating Officer

Direct and oversee company operations, focusing on scalability and process automation through GoHighLevel (GHL) integrations. Lead cross-functional teams (Implementation, Support, and Customer Success) to ensure 100% operational alignment with client business goals. Implemented a proactive Churn Control strategy, maintaining a high retention rate through strategic data analysis and customer health monitoring. Designed and standardized operational Playbooks, reducing implementation times for new accounts by 30%.

Responsible for the technical architecture and end-to-end setup of client ecosystems, ensuring a seamless transition from sales to operational success through advanced CRM configurations and automation. Executed full setup and customization of CRM environments (GoHighLevel), managing database structures and workflow automations. Designed and implemented automated systems for data entry and report generation. Acted as the primary technical point of contact during onboarding, resolving complex roadblocks. Developed standardized implementation templates and operational playbooks using process mapping tools.

Resolved technical inquiries through advanced troubleshooting and effective communication channels, supporting user satisfaction and platform engagement using CRM systems. Maintained user satisfaction by resolving support tickets through systematic analysis within CRM and ticketing systems. Composed user-friendly guides for the knowledge base. Facilitated information flow between customers and development teams using CRM tools. Streamlined conflict resolution leveraging communication platforms and feedback mechanisms.

Spearheaded data preparation and analytical processes to train high-performance AI models, focusing on precision-driven feature extraction and image segmentation. Specialized in high-fidelity data preparation and analysis for training advanced AI recognition models. Executed complex 2D and 3D image segmentation and Lidar data processing to enhance pedestrian detection models. Managed end-to-end data pipelines including collecting, cleaning, and labeling datasets. Performed rigorous model evaluation and data auditing to identify and correct biases.