Chicago, Illinois, United States
Operations & Workflow Automation Specialist with hands-on experience in workflow automation, process optimization, and operational systems across logistics and project-based environments. Skilled in integrating AI tools, APIs, and low-code platforms (Make, Zapier, n8n) to streamline workflows, reduce manual effort, and improve decision-making speed across multi-stakeholder processes. Proven track record of designing end-to-end automation solutions that reduced manual operational workload by 25–30%, cut administrative effort by 6–8 hours per week, and improved response times by 30–40%. Built AI-powered systems including customer feedback sentiment analysis, weather-based operational decision support, email classification and routing, automated reporting pipelines, and source-grounded academic research chatbots using LLMs (Gemini, ChatGPT, Claude) and prompt engineering. Technical expertise spans system integration (APIs, webhooks, JSON), Python, RPA (UiPath), AI agents, orchestration, and no-code/low-code development. Background in operations management - coordinating 40+ weekly shipments, 8–10 drivers, and 4–5 concurrent FF&E projects - provides strong systems thinking and the ability to translate complex business processes into scalable, automated solutions that deliver measurable business impact.
- Managed 4–5 concurrent FF&E projects (16–20 active vendor workflows per cycle), optimizing end-to-end project tracking by building structured Google Sheets systems for timelines, shipment status, and installation schedules, improving operational visibility and reducing coordination gaps across stakeholders - Led cross-functional process coordination between designers, vendors, and procurement teams to standardize specifications and resolve bottlenecks, contributing to a 20% reduction in project delivery delays and improving on-time execution rates - Designed and implemented automation workflows using Make and AI to process Gmail communications, extract structured project updates, and generate automated daily operational reports, reducing manual reporting workload by 6–8 hours per week - Implemented AI-driven email classification system (sentiment + intent analysis) to prioritize urgent and high-risk communications, improving response time to critical vendor/client issues by 30–40% - Structured and standardized operational data (emails, vendor updates, shipment tracking, and project milestones) into unified formats, enabling scalable automation workflows and improving data consistency across 4–5 simultaneous projects - Optimized operational workflows by identifying inefficiencies in communication and tracking systems, introducing process improvements that reduced manual follow-ups by 25% and improved task clarity across teams
- Managed end-to-end fleet operations for 8–10 drivers and 40+ weekly shipments, optimizing routing, dispatch, and scheduling workflows for oversized and heavy-haul freight, improving operational efficiency by 25–30% - Implemented structured dispatch and tracking processes to streamline load allocation, reduce scheduling conflicts, and improve visibility across active shipments, increasing on-time delivery performance to more than 95% - Ensured 100% regulatory compliance across multi-state operations by managing permits, routing constraints, and safety requirements, reducing compliance risks and preventing operational delays in high-complexity shipments