Eddie Zeng

Delivered AGV/AMR automation solutions for global manufacturing clients, supporting projects from planning and system setup through commissioning and on-site deployment. Integrated and configured RCS systems to enable fleet coordination, route execution, and operational efficiency. Designed vehicle routes, facility layouts, and storage location plans to support automation implementation. Performed PLC commissioning to improve system reliability and ensure smooth integration across controls and equipment. Calibrated, configured, and troubleshot AMR and AGF vehicles during testing, validation, and deployment. Configured databases to support system setup, deployment readiness, and project execution. Trained and applied deep learning models for computer vision-based auto-detection in automation workflows. Configured and optimized 2D and 3D LiDAR systems, including SICK sensors, to support perception integration, calibration, and performance. Applied a software-driven, systems-oriented approach to connect robotics, controls, perception, and field execution.

Built SoulMirror, an AI-assisted self-reflection mobile app; designed core flows integrated Tarot & I-Ching modules, and ran end-to-end beta testing with documented issue triage.

Designed and implemented an AI-driven pipeline for automated GIS validation of utility poles, benchmarking YOLOv8 vs. Mask R-CNN on 300+ labeled images and reporting accuracy/latency metrics. Integrated detections into ArcGIS to auto-flag GIS discrepancies and prioritize manual review improving defect/asset identification by 20%.

Aligned and merged stock price and bond yield datasets by trading dates (handling holidays and missing observations) to ensure time-series consistency for macro/market analysis. Converted daily series into month-end returns, analyzed correlation patterns during stress periods and visualized insights in Tableau (rolling correlations, scatter/line views) for executive-style reporting.

Built a Python regression model to evaluate production/delivery indicators as leading signals, identifying key drivers and quantifying impact to support insight generation. Automated weekly data extraction and refresh workflows, cutting reporting turnaround time by ~30%; built Excel dashboards tracking 5+ KPIs to monitor trends, highlight inflection points, and support recurring stakeholder updates.

Analyzed Tesla’s 2022 delivery trends using Python regression modeling, linking Gigafactory ramp-ups to a 40% YoY increase in global deliveries. Automated weekly production data extraction and built Excel dashboards to visualize supply-chain impacts on delivery timelines.

Engineered Python-based analysis of 1M+ TikTok video metrics, optimizing audience targeting and boosting engagement by 30%. Segmented user groups via data classification, enhancing campaign ROI for commercial promotions.

Conducted market analysis and implemented brand marketing strategies for helmet products, facilitating partnerships with 4+ major brands to expand market reach. Researched consumer trends in the electric bicycle industry, analyzing 1,000+ units of production capacity, sales volume, pricing, and future market projections in China and globally.