I've worked as a Machine Learning Engineer, managing projects that involve model development, deployment, and optimization, while collaborating on infrastructure and cloud solutions for diverse business applications.
I’ve developed scalable machine learning systems integrating LLMs and computer vision models to automate workflows, optimize model performance, and deliver reliable AI-driven services for enterprise applications..
Develop AI for reading car license plates Or detect objects and AI to separate and identify the names of different types of vegetables or fruits.
I've created a large-scale website with hundreds of thousands of users, as well as other websites like chatbot systems and live chat platforms for businesses and general users.
I enjoy turning complex problems into simple, beautiful and intuitive designs. My aim is to bring across your message and identity in the most creative way.
Specialized in developing automated data pipelines by integrating Large Language Models (LLMs) to transform manual workflows, significantly enhancing efficiency and productivity within the Data Factory team.
Designed and implemented microservices for ML models like YOLO to analyze document data, enabling accurate effort estimation and automating manual labeling tasks.
Engineered and optimized prompts to boost the performance of task-specific ML models.
Developed and maintained LLM services integrating Gemini and ChatGPT, optimizing API interactions for faster response times and higher reliability.
Built scalable backend systems using Golang, connecting internal data management services seamlessly.
Implemented backend APIs with PostgreSQL and leveraged Google Cloud Storage and other GCP services for core infrastructure support.
Architected systems with a focus on maintainability, scalability, and efficient use of resources.
Translated user requirements into functional features and actionable tasks for development teams.
Designed and implemented secure components including authentication, logging, and middleware to ensure robust system security.
Managed infrastructure planning, resource allocation, and cost optimization to meet business objectives.
Automated data workflows to enable smooth integration across multiple internal platforms and services.
Experienced in developing AI-based facial verification systems for banking transaction services and insurtech solutions focused on vehicle damage analysis and fraud detection.
Designed and implemented microservices for machine learning models in vehicle inspection workflows.
Built scalable architectures using Python, TensorFlow Serving, TorchServe, MongoDB, Docker, GitLab CI/CD, and AWS EKS.
Fine-tuned and optimized ML model microservices to ensure high performance and reliability.
Managed Kubernetes clusters to maintain scalable and resilient infrastructure.
Developed ML model verification systems to monitor predictions and evaluate model accuracy.
Created GitLab CI/CD pipelines to efficiently deploy and manage over 10 microservices.
Diagnosed and resolved system issues to maintain continuous availability and optimal performance.
Collaborated closely with external partners including Kasikorn X and KLabs Research to co-develop and fine-tune ML models aligned with real-world performance benchmarks.
Proposed and implemented architectural improvements to enhance system stability, scalability, and maintainability across cross-functional teams.
Crafting Website and Mobile App for sell goods or game topup for over 250,000 customer. and intregate Facebook / Line Realtime Chatbot system.
I won at first place in the SWU X LOTUS'S Hackathon by developing an AI system to predict future sales of products in the store. By using the Nueral Network model and the data from the store's sales system.
Develop a Knowledge Base Editor website for AI by using PHP Html CSS Jquery and MySQL. And intrgate with backward chaining inference engine with Line ChatBot. and Typhoon LLM AI.
Develop the Chodelivery application, which is an application for ordering products from stores. By allowing shop owners to come in and open their own shops. And buyers can come in and make purchases from various stores within the application. which is developed with Flutter
Develop a RESTful API system for use in the Chodelivery project using Golang and Mysql. In this project, there are approximately 60 End Point APIs and 14 database tables, and there is collaboration with Web Socket system running on NodeJS
Develop a website for the Kartik game, which is a Davinci game of guessing words from pictures. It is developed as a project submitted within the Web Design subject, developed with NodeJS Express and has a Web Socket for sending data in real time. You can view the work. at https://cpe221.patta.dev
Developed the My SOS application, an application that collects emergency phone numbers for Thai people. and search for information on medical facilities near the user Including recording personal information for emergency use in the event of an accident, developed with the Flutter Framework.
