Wai Yan Min

Key Skills

Software

AWS SageMaker

Appen

Clickworker

Google Cloud Vertex AI

Img Lab

Labelbox

OpenCV AI Kit (OAK)

Scale AI

Toloka

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Image

Top Task Types

Bounding Box

Classification

Computer Programming Coding

Fine Tuning

Object Detection

Freelancer Overview

I am a highly motivated Computer Science Engineering student at Myanmar Institute of Information Technology (MIIT) with hands-on experience in AI, robotics, and data-driven systems. My background includes developing AI projects such as face recognition, OCR, voice-based interfaces, and an autonomous EV delivery robot, all of which required a deep understanding of data accuracy, model training, and annotation logic. This practical exposure has given me strong insight into the importance of clean, well-labeled datasets in building effective AI systems. In addition to my technical knowledge, I bring excellent attention to detail, consistency in following complex guidelines, and a high level of responsibility—skills reinforced through competitive programming, national hackathons, and mentoring roles. As the founder of MIIT Infinity Club, I have led large student teams across AI, IoT, and cybersecurity projects, ensuring quality output and collaboration. With fluency in both English and Myanmar, a deep commitment to ethical and accessible AI, and a proven ability to work independently and meet deadlines, I am confident in my ability to contribute effectively to any data labeling or AI training project.

Labeling Experience

Sensor and Image Annotation for Autonomous EV Delivery Robot Navigation

Opencv AI Kit OakVideoBounding BoxSegmentation

I worked on a nationally funded project to develop an Autonomous EV Delivery Robot capable of navigating indoor/outdoor environments. My role included annotating sensor and camera data for object detection (obstacles, road/path markers), classifying terrain types, and tracking moving objects (e.g., pedestrians, other bots). I labeled over 10 hours of video data and thousands of sensor logs to support training of computer vision and path-planning models. I also contributed to map-based annotation for routing and SLAM (Simultaneous Localization and Mapping), ensuring alignment with navigation logic.

I worked on a nationally funded project to develop an Autonomous EV Delivery Robot capable of navigating indoor/outdoor environments. My role included annotating sensor and camera data for object detection (obstacles, road/path markers), classifying terrain types, and tracking moving objects (e.g., pedestrians, other bots). I labeled over 10 hours of video data and thousands of sensor logs to support training of computer vision and path-planning models. I also contributed to map-based annotation for routing and SLAM (Simultaneous Localization and Mapping), ensuring alignment with navigation logic.

2024 - 2024

Multimodal Annotation for Voice and Text Recognition AI System

Scale AITextEntity Ner ClassificationClassification

Contributed to an AI system that integrates voice recognition and OCR (Optical Character Recognition) for Myanmar language support. Tasks included annotating spoken commands, classifying user intents, tagging named entities in text, and validating audio-transcription pairs. I also labeled scanned handwritten Myanmar documents to train a neural OCR engine, ensuring pixel-level accuracy in character extraction. The project involved over 3,000 text/audio samples and included quality control measures such as inter-annotator agreement checks and annotation audits.

Contributed to an AI system that integrates voice recognition and OCR (Optical Character Recognition) for Myanmar language support. Tasks included annotating spoken commands, classifying user intents, tagging named entities in text, and validating audio-transcription pairs. I also labeled scanned handwritten Myanmar documents to train a neural OCR engine, ensuring pixel-level accuracy in character extraction. The project involved over 3,000 text/audio samples and included quality control measures such as inter-annotator agreement checks and annotation audits.

2024 - 2024

Facial Recognition Dataset Annotation for Human-Robot Interaction System

LabelboxImageBounding BoxEntity Ner Classification

This project involved annotating multimodal datasets (images, voice, and text) used to train a Myanmar-language human-robot interaction system powered by generative AI. Tasks included bounding box labeling of facial features, emotion recognition for contextual responses, audio sample classification, and intent classification for conversational AI. I contributed to dataset design, annotation guideline creation, and performed manual verification for quality assurance. Over 5,000 data points were labeled with an emphasis on cultural accuracy, emotion nuance, and linguistic clarity, ensuring alignment with safety and ethical AI practices.

This project involved annotating multimodal datasets (images, voice, and text) used to train a Myanmar-language human-robot interaction system powered by generative AI. Tasks included bounding box labeling of facial features, emotion recognition for contextual responses, audio sample classification, and intent classification for conversational AI. I contributed to dataset design, annotation guideline creation, and performed manual verification for quality assurance. Over 5,000 data points were labeled with an emphasis on cultural accuracy, emotion nuance, and linguistic clarity, ensuring alignment with safety and ethical AI practices.

2023 - 2023

Education

Work History