Sawaiz Qaisar

• Serve as a recurring technical and operational contact for international enterprise customers using hardware-enabled AI and SaaS systems across multiple sites and time zones.

• Coordinate complex customer escalations across software, AI, hardware, production, integration, product, commercial, finance, and logistics teams, translating ambiguous problems into clear owners, actions, and next steps

• Managed day-to-day relationships and technically complex operational needs for international customers using AI, software, cameras, servers, and control systems.

• Connected customer workflows, site constraints, and adoption needs with product, technical, integration, and commercial stakeholders.

• Supported customer onboarding, deployments, software releases, and operational restoration by co

Supported customer-experience and process-improvement initiatives in a hardware-enabled AI technology company. Analyzed customer and operational workflows to improve consistency, scalability, and service quality and helped translate improvement opportunities into documented actions.

• Supported customer-experience and process-improvement initiatives within a growing hardware-enabled AI technology company.

• Analyzed customer and operational workflows to identify opportunities for greater consistency, scalability, and service quality.

• Contributed to a continuous-improvement initiative focused on feeding strategies and operational performance.

• Coordinated cross-functiona

• Reduced a recurring control-check process from 45 to 15 minutes—a 67% reduction—by improving the underlying workflow.

• Developed SQL queries to support data retrieval, analysis, and reporting.

• Streamlined data-processing workflows to improve consistency and reduce manual effort.

• Applied Lean Engineering principles to identify inefficiencies and reduce process errors.

Improved a recurring control-check process by updating the underlying workflow, reducing runtime from 45 to 15 minutes (67% reduction). Developed SQL queries for data retrieval and reporting, and streamlined data-processing workflows using Lean engineering principles to reduce errors.

• Used Linux Terminal and AWS CLI to support cloud-based data and resource tasks.

• Analyzed fish-feeding data to support operational investigations and feeding-strategy improvements.

• Contributed to video annotation and investigation of feeding behaviour used in AI-system development.

• Applied data-driven analysis to problems involving fish biology, system performance, and production operati

Used Linux terminal and AWS CLI to support cloud-based data and resource tasks. Analyzed fish-feeding data to support operational investigations and feeding-strategy improvements, and contributed to video annotation used in AI-system development.

• Coordinated bunker-barge delivery schedules and stakeholder communication supporting on-time marine-fuel delivery to commercial vessels.

• Maintained operational records and communicated schedule requirements across delivery stakeholders.

• Supported purchasing, order fulfilment, and distribution of PVC cable products.

• Coordinated invoicing, packing, shipping, and customer-order communication.

Engineering background focused on process improvement, operations, data analysis, systems thinking, and structured problem-solving.