May Sabai

Operate humanoid robots in live customer scenarios, collecting 500MB+ multi-sensor (camera, LiDAR) data per session to support ML training pipelines.

Set up and calibrate sensors, improving data reliability and reducing capture errors by ~20%.

Conduct QA on 2D/ 3D/ 6D labeled datasets (1,000+ samples/week), defining validation criteria to improve downstream model performance.

Identify and document robot and sensor issues, collaborating with ML and software engineers to validate fixes and maintain >95% usable data rate.

Follow strict safety and equipment protocols, ensuring zero operational incidents.

Managed and optimized application database using Supabase (PostgreSQL), supporting up to 1GB of production data with real-time synchronization during A/B testing and post-launch phases.

Designed authentication and role-based access controls (RBAC) to protect sensitive client data and enforce admin-level permissions across systems.

Collaborated with full-stack mobile developers, leveraging AI-assisted development tools (Cursor, Claude AI) to accelerate feature implementation, debug backend logic, and improve development efficiency.

Took initiative in project planning across development, A/B testing, and launch phases — streamlining execution and delivering a 3-month roadmap in 2 months.

Built a structured consulting intake workflow to dynamically capture customer requirements, improving quote accuracy and increasing customer satisfaction by ~20%.

Took ownership of an existing AI chatbot project; integrated Gemini API with RAG architecture, connected it to the database and application layers, and enabled 24/7 automated client support.

Promoted to Project Leader, entrusted to oversee a team of 5 developers and lead the full mobile application development lifecycle.

Co-developed and delivered curriculum on Machine Learning and Computer Vision (YOLOv8, Jetson Orin Nano) for 40+ students, covering data preprocessing, model training, and real-time inference workflows.

Instructed Python, Linux, and ML pipeline fundamentals, simplifying advanced AI concepts for diverse learners while introducing best practices in data handling and model evaluation.

Supported hands-on projects where 50%+ of student teams successfully implemented AI/ML-based solutions, deploying models on edge devices for live object detection.

Led fundraising with an international team spanning Canada, the UK, China, Hong Kong, and Singapore to launch Bridge Burma’s first scholarship program.

Provided 12 students in Myanmar with access to English proficiency tests, enabling them to apply for global college scholarships.

The initiative was featured on Smart Ed DVB, a major national news channel known for spotlighting educational opportunities, amplifying our impact across the country.

Tutored advanced mathematics and sciences, helping students progress from barely passing to consistently earning As. Recognized for strong impact on student performance and promoted to Senior Tutor within 6 months.

Scaled membership from 20 to 200 students within one year by developing and executing a data-informed outreach and social media growth strategy.

Established a sustainable model that inspired the creation of BUSA chapters at other community colleges.

Increased annual cultural festival attendance from 50 to 300+ guests across 7 campuses through cross-campus partnerships, storytelling campaigns, and structured promotional planning.

Following my strategies, the annual Myanmar New Year (Thingyan) festival is now celebrated for 4 consecutive years and embraced as a tradition across campuses.

Participated in NASA & ASU's L'SPACE Mission Concept Academy program, gaining hands-on experience in space mission design and development.

Managed communications and coordinated activities within the Laboratory of Robotics and Artificial Intelligence, facilitating collaboration between research teams and external stakeholders.