Artificial Intelligence Developer
Innovative AI and Computer Vision Specialist with a strong academic foundation and extensive hands-on experience in designing and implementing advanced AI solutions. Proficient in Deep Learning, Computer Vision, and various programming languages. Skilled in developing applications that require intensive data processing and user interaction, with a focus on usability and efficiency.
- ๐ Develop Comprehensive AI Solutions: Specializing in the creation of bots and character chatbots to enhance digital interactions.
- ๐ค Lead Development Projects: Utilizing cutting-edge technologies such as Stable Diffusion, LLM, and Semantic Search to drive project success.
- ๐ Advanced Analytics and Machine Learning: Employing sophisticated analytics and machine learning frameworks to inform decision-making and create innovative user experiences.
- ๐ ๏ธ Robust Infrastructure Management: Building and managing scalable, high-performance infrastructures using AWS and other cloud platforms.
I am always interested in collaborating on projects that push the boundaries of AI and Machine Learning. Feel free to reach out for collaboration opportunities or just to connect. You can email me at [email protected] or reach me on LinkedIn.
July 2023 - Present
- Developed a comprehensive bot integration platform managing both frontend and backend functionalities, including UI, data processing, API integration, CRUD operations, authentication, and secure database design.
- Conducted LLM experiments and prompt tuning to improve bot functionality and user interaction.
- Implemented information retrieval from documents using text embedding models, LangChain, and semantic search.
- Added LINE login and messaging features for user convenience.
- Managed project infrastructure on AWS (EC2, S3, RDS, Route 53) for scalability.
- Created AI character images using Stable Diffusion, developed their personalities, and integrated them as chatbots capable of interpreting both visual and text inputs using LLM.
- Conducted LLM experiments and prompt tuning to enhance chatbot functionality.
- Implemented named-entity recognition and information retrieval from documents using LLM, text embedding models, LangChain, and semantic search.
- Developed a feature to optimize the timing for advertising the Brookreator website features to users during conversations, integrating it into the chatbot.
- Developed language input filtering and user intention detection features using NLP techniques and LLM.
- Managed project infrastructure on AWS (EC2, S3, Route 53) for scalability.
- Designed and implemented classic QR code generation features for streamlined user access.
- Enhanced image quality and focus through the implementation of auto portrait cropping and face restoration using CodeFormer.
- Developed a LINE chatbot enabling users to generate images and videos directly from the Brookreator website.
- Contributed innovative AI product ideas and provided system design recommendations for AI projects.
- Conducted research to select the best LLM for system integration.
- Prepared datasets for LLM fine-tuning and fine-tuned custom LLMs from Hugging Face, such as LLaMA-2 and Qwen, for specific tasks.
- Experimented with voice cloning, text-to-speech, and singing voice conversion technologies.
- Experimented with video generation using Stable Diffusion.
May 2022 - Sep 2023
- Analyzed 2D and 3D point cloud technologies to guide project direction and technology selection.
- Assessed hardware specifications for optimal system integration.
- Designed electronic circuit diagrams for high-precision measurement devices.
- Enhanced 3D hardware design in SketchUp for increased precision and durability.
- Developed real-time preprocessing methods for 3D point clouds.
- Implemented Principal Component Analysis (PCA) for effective 3D-to-2D point cloud conversion.
- Formulated a point cloud-based trench profile measurement algorithm, achieving accuracy within a 5% error margin.
- Designed a user-friendly GUI for efficient measurement operation, data review, and uploading.
- Standardized data formats for seamless integration with web servers, enhancing data management.
- Contributed to the development of an AI-driven real-time trench profiling algorithm.
- Acquired 2D and 3D point cloud data using Intel RealSense cameras.
- Gathered image data with mobile phones and CCTV for YOLO algorithm training.
- Configured Ubuntu on Jetson Xavier NX for system operations.
- Implemented a docker-based containerized approach for hosting the GUI and processing algorithms.
- Conducted field tests of the measurement algorithms at the University Campus and the MWA site in Bangkok, confirming real-world applicability and accuracy.
- Produced detailed technical documentation and code comments to support future maintenance and scalability.
- Created a user manual with clear installation instructions, facilitating end-user setup and deployment.
Aug 2021 - June 2023
- Supervised a student to publish a paper titled "Reinforcement Learning application on Gamification" at the 8th International STEM Education Conference 2023.
- Taught Machine Learning classes.
- Developed a computer vision algorithm for servo motor's angle control by hand angle detection.
- Developed the following courses:
- Machine Learning
- Web Development with Python Django
- Embedded Systems and IoT with MIT App Inventor, Blynk, ESP32, Google Sheets, and MicroPython
- Mobile App Development with MIT App Inventor
Mar 2021 - July 2021
- Implemented an embedded system and mobile app to control a 3-wheel mobile robot.
- Developed a voice-controlled IoT smart home automation system.
- Designed 3D models of products.
MEng. in Data Science & Artificial Intelligence, Asian Institute of Technology, Thailand (Aug 2021 - Nov 2023)
- CGPA: 3.4/4
- Thesis: Experiments on Vision-based Simulation and Real-world Lane Following and Obstacle Avoidance with PPO
BEng. in Mechatronics, Assumption University of Thailand (Jan 2017 - Oct 2020)
- CGPA: 3.79/4
- Honor award: Magna Cum Laude
- English (Fluent)
- Myanmar (Native)