An Giang
I'm An Giang, a data-driven mechanical engineer and AI enthusiast currently pursuing a Master of Science in Artificial Intelligence at the University of Houston Downtown.
About
I’m An Giang, a data-driven mechanical engineer and AI enthusiast currently pursuing a Master of Science in Artificial Intelligence at the University of Houston Downtown. I blend hands-on robotics experience with analytics to drive product and process improvements. My background spans robotics engineering, manufacturing workflows, and building AI-powered analytics pipelines for real-world applications, from robotics to enterprise data platforms.
I’ve shipped projects across manufacturing, logistics, and software domains, including analytics dashboards, multi-robot assembly lines, and knowledge-retrieval systems. I thrive on turning data into actionable insights and delivering practical, scalable solutions with cross-functional teams.
- 1 year's experience
- Joined March 2026
Industry experience
- Manufacturing
- Software & Internet
- Professional Services
- Media & Entertainment
More experts in Houston, United States
Work experience
Developed Mixpanel analytics dashboards for F&B clients to track engagement and loyalty metrics; drove 40% dashboard adoption and reduced stakeholder decision-making time by 20%. Benchmarked 6 competitors to identify strategic feature gaps, synthesizing pricing and feedback to drive growth opportunities, resulting in a 15% lift in user engagement.
Collaborated within a cross-functional team to design and deliver end-to-end robotics solutions for clients, validating factory layouts and manufacturing workflows with Visual Components, streamlining 20+ production processes. Engineered perception-guided robotic workstations using Intel RealSense depth camera and computer vision for tomato classification and truss localization; integrated custom end-effectors with Universal Robots (UR) to enable multi-step packaging and achieve a 20% performance uplift.
Spearheaded the implementation of a multi-robot assembly line for color-based sorting, reducing processing time by 30%. Integrated robotics with laser guidance system and a hand-sketch-to-G-code pipeline for reliable laser engraving operation.
Education
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