Ougrid Dumdang Email & Phone Number

Bangkok City, Thailand

Worked as an AI Research Engineer in KBTG Labs (NLP Department)Responsibilities:- Hypothesis Formulation: Collaborate in developing hypotheses based on business challenges, actively contributing to problem-solving strategies.- Research: Conduct comprehensive research, including literature reviews and analysis of relevant studies, to identify current methodologies and their potential adaptations for new solutions.Identify potential areas to generate hypotheses and conduct research, with the aim of publishing new findings.- Solution Development and Testing: Design, develop, and test innovative software solutions with ML models to validate hypotheses, incorporating insights from existing research, findings from internal research, and guidance from senior researchers.- Performance Evaluation: Assess the effectiveness of proposed solutions using industry-standard metrics and evaluation methods, identifying potential for publication if results are unique and promising.- Paper Writing and Submission: Co-author research papers and prepare them for submission to academic conferences, ensuring adherence to publication standards and incorporating feedback from senior researchers.

Bangkok City, Thailand

- Utilized both theoretical and applied levels of AI knowledge (Generative AI, NLP, CV, Robotics & IoT, Signal Processing, and Data Science) to solve real challenges in business, governmental, and academic sectors, both as a team and individually, through consecutive weekly hackathons.- Led a team of 28 AI engineers in competitions, handling both technical and managerial responsibilities- Developed AI models & multiple applications: • Thai image captioning model: -- Developed an image captioning model that understands the Thai language, tourist attractions, and local dishes • Table-based Thai QA LLM with RAG: -- 🏆 "Winner" prize -- Developed and trained (PEFT: QLoRA) multiple Thai LLMs capable of QA over structured data in a database. -- Gained hands-on experience in using LANTA, Thai Supercomputer • Legal Act Classification: -- Developed and trained Thai LLM to classify and do NER on Thai legal documents • Brain motor imagery signal classification model: -- 🥇"1st runner up" prize -- Developed a classification model capable of pre-processing brain signals from BCI -- As a full-stack SWE, developed a web app containing the model • AIoT automated smart farm for micro greens: -- 🥈"2nd runner up" prize • LLM-based agentic workflow for data science: -- Developed an LLM-based agentic workflow for automated data science process in the global Kaggle competition "Home Credit Risk Modeling" • Liver lesion detection in ultrasound image model: -- 🏆 "Winner" prize -- Developed a liver lesion detection model capable of pre-processing ultrasound images and classify the presence of cancer • Forest type classification model: -- Developed a model for classification of forest types using satellite GIS data

Bangkok City, Thailand

Worked as a Software Engineer/ Machine Learning Engineer- Developed a backend service with ML models for image classification, image segmentation, depth estimation, and segmented area in image to actual area approximation to be used for claims process automation (with TensorFlow, Hugging Face, and OpenCV)- Developed an OCR-NLP model for document data extraction and content-aware data extraction software (with TensorFlow, Google Vision, and PyThaiNLP)- Developed a backend service with ML models for image classification of animal body parts (with TensorFlow, FastAPI)- Participated in the internal hackathon for processes automation (with MS Power Automate, Power Apps, Power BI, and SharePoint)- Learned API proxy development process for ingress-egress traffic and data logging of external service (with MuleSoft Anypoint Studio)- Learned backend service development for report generation (with C#, .NET | learned ASP.NET CORE - MVC)- Developed a fraud detection software with ML and DL models for health insurance claims (learned GAN, VAE, Decision Forest, DeepCNN)- Developed a chatbot for company knowledge management system (exploring LangChain, LlamaIndex, OpenAI GPT, Llama-2, Gemini Pro, Typhoon, OpenThaiGPT | learned Generative AI, Advanced RAG, LLM, Vector Store, Local LLM, GPU)- Modernized the data lakehouse infrastructure and perform ETL as an Associate Data Engineer- Oversaw AI projects as the PM, BA, and SA, as well as researched and developed Al modelsbased on the current SOTAs or suitable models for each business requirements, taking responsibility with end-to-end project ownership

กรุงเทพมหานคร, ประเทศไทย

- Applied extensive AI knowledge (NLP, CV, Robotics & IoT, Signal Processing, and Data Science) to solve real-world problems through multiple hackathons. Voluntarily resigned to transition to a new professional opportunity.

Bangkok Metropolitan Area

- Enrolled as a scholar in the fully-funded Full-stack Software Engineering Apprenticeship Program.

Bangkok City, Thailand

- Delivered business intelligence reports by utilizing Machine Learning in Jupyter Notebook and Power BI.- Contributed to the early design of architecture, data flow, and networking for the company's proprietary Chiller Plant Management System on Cloud (CPMS on Cloud).- Provided technical support in the HVAC industry.- Achieved sales targets.

Sei - Software Engineering Immersive Program (New York | Usa), Computer Software Engineering

became a scholar of General Assembly's Software Engineering Immersive Program (USA) fully-funded scholarship program by True Digital Group.

ปริญญาตรี, Mechanical Engineering

Bachelor Of Engineering - Be, Mechanical Engineering | Naval Architecture And Marine Engineering