Jirayu Klinudom
Greeting, I am James, a graduate computer science student from Mahidol University, passionate about software development and AI, with a focus on NLP and Generative AI.
Education
Assumption College Sriracha
Science-Mathematics
Highschool (Grade 10 & 12)
Tower Grove Christian Academy
Exchange Student at USA
Junior Highschool (Grade 11)
Mahidol Univesity
Computer Science
Bachelor Science of Information and Communication Technology (ICT)
Technical Skills
Work Experience
MUOSS - ASP.NET Core Blazor Developer
Faculty of Information and Communication Technology, Mahidol University
- Led a team for Mahidol's One Stop Service, overseeing both frontend and backend development.
- Utilized ASP.NET Core Blazor for the front-end development, and generated controllers and services to handle various API requests.
- Worked together with a UX/UI designer to implement a functional and operational front-end interface.
- Established a robust code foundation to guide and support other team members in their work.
MUICT Laboratory Assistant - Fundamental of Programming (C)
Faculty of Information and Communication Technology, Mahidol University
- Assisted in teaching basic C programming to retake MUICT freshmen who are retaking the course.
- Evaluated students' assignments and laboratory work through targeted questioning to gauge their implementation and understanding of the code.
- Assisted students in understanding the method for resolving the problem with alternative solutions.
Corporate Strategy Planning and Management - Developer Internship
MFEC Public Company Limited
- Fine-tuned local large language models using LoRA techniques to answer organizational questions using internal documents as the knowledge base.
- Assisted in researching and evaluating the performance of embedding models, rerankers, and LLMs for translation tasks.
- Implemented Retrieval-Augmented Generation (RAG) with a vector database and reranker, enhancing LLMs' ability to access and utilize external knowledge.
- Developed a Streamlit web app for generating datasets focused on fine-tuning LLMs with Retrieval-Augmented Generation (RAG).
- Developed a React.js and FastAPI app leveraging RAG and LLMs to align resumes with job openings, score applicants for efficient hiring, and match relevant job opportunities based on resumes.
- Revamped the UI and upgraded the PoC project into a fully functional application, using Svelte for the frontend and PocketBase with SQLite for the backend and database.
Bremen Spatial Cognition Center - Research Internship
University of Bremen, Germany
- Collaborated closely with Dr. Mihai Pormalan at University of Bremen to gain expertise in Natural Language Processing (NLP).
- Created a machine translation from human instructions to robot commands for navigational purposes.
- Prepared the EGGNOG dataset and focused on gesture annotations for model training.
- Developed a language model to anticipate intentions based on gesture annotations using the EGGNOG dataset.
MUOSS - ASP.NET Core Blazor Developer
Faculty of Information and Communication Technology, Mahidol University
- Led a team for Mahidol's One Stop Service, overseeing both frontend and backend development.
- Utilized ASP.NET Core Blazor for the front-end development, and generated controllers and services to handle various API requests.
- Worked together with a UX/UI designer to implement a functional and operational front-end interface.
- Established a robust code foundation to guide and support other team members in their work.
MUICT Laboratory Assistant - Fundamental of Programming (C)
Faculty of Information and Communication Technology, Mahidol University
- Assisted in teaching basic C programming to retake MUICT freshmen who are retaking the course.
- Evaluated students' assignments and laboratory work through targeted questioning to gauge their implementation and understanding of the code.
- Assisted students in understanding the method for resolving the problem with alternative solutions.
Corporate Strategy Planning and Management - Developer Internship
MFEC Public Company Limited
- Fine-tuned local large language models using LoRA techniques to answer organizational questions using internal documents as the knowledge base.
- Assisted in researching and evaluating the performance of embedding models, rerankers, and LLMs for translation tasks.
- Implemented Retrieval-Augmented Generation (RAG) with a vector database and reranker, enhancing LLMs' ability to access and utilize external knowledge.
- Developed a Streamlit web app for generating datasets focused on fine-tuning LLMs with Retrieval-Augmented Generation (RAG).
- Developed a React.js and FastAPI app leveraging RAG and LLMs to align resumes with job openings, score applicants for efficient hiring, and match relevant job opportunities based on resumes.
- Revamped the UI and upgraded the PoC project into a fully functional application, using Svelte for the frontend and PocketBase with SQLite for the backend and database.
Bremen Spatial Cognition Center - Research Internship
University of Bremen, Germany
- Collaborated closely with Dr. Mihai Pormalan at University of Bremen to gain expertise in Natural Language Processing (NLP).
- Created a machine translation from human instructions to robot commands for navigational purposes.
- Prepared the EGGNOG dataset and focused on gesture annotations for model training.
- Developed a language model to anticipate intentions based on gesture annotations using the EGGNOG dataset.
MUOSS - ASP.NET Core Blazor Developer
Faculty of Information and Communication Technology, Mahidol University
- Led a team for Mahidol's One Stop Service, overseeing both frontend and backend development.
- Utilized ASP.NET Core Blazor for the front-end development, and generated controllers and services to handle various API requests.
- Worked together with a UX/UI designer to implement a functional and operational front-end interface.
- Established a robust code foundation to guide and support other team members in their work.
MUICT Laboratory Assistant - Fundamental of Programming (C)
Faculty of Information and Communication Technology, Mahidol University
- Assisted in teaching basic C programming to retake MUICT freshmen who are retaking the course.
- Evaluated students' assignments and laboratory work through targeted questioning to gauge their implementation and understanding of the code.
- Assisted students in understanding the method for resolving the problem with alternative solutions.
Projects
A digital service that allows users to request or submit all documents online, eliminating the need to physically visit the faculty or location.
A Next.js web application, utilizing the dataset from Kaggle, alongside with Elasticsearch and Kibana to create a search engine for food vendors and restaurants in Thailand.
A fake version of ShortURL that only looks like the real thing but doesn't actually shorten any links.
I developed a React.js and FastAPI web app that uses Retrieval-Augmented Generation (RAG) and LLMs to analyze and align resumes with relevant job openings, including a feature to score applicants' resumes against job criteria for efficient hiring. The app also includes a job search function to match applicants with suitable opportunities based on their resumes efficiently.
I developed a Streamlit web app for generating datasets, focusing on Retrieval-Augmented Generation (RAG). This involves extracting meaningful data from PDF documents to create datasets and build a vector database for semantic searching. I enhanced large language models to answer organizational questions using internal documents as the knowledge base.
The project introduces a machine translation system utilizing a Transformer model and mediapipe to translate Thai text input into Thai Sign Language gestures for output.
This project aim to create a mcahine translation that can predict intentions from body language using the Sequence to Sequence model, focusing on the EGGNOG dataset.
A digital service that allows users to request or submit all documents online, eliminating the need to physically visit the faculty or location.
A Next.js web application, utilizing the dataset from Kaggle, alongside with Elasticsearch and Kibana to create a search engine for food vendors and restaurants in Thailand.
A fake version of ShortURL that only looks like the real thing but doesn't actually shorten any links.
I developed a React.js and FastAPI web app that uses Retrieval-Augmented Generation (RAG) and LLMs to analyze and align resumes with relevant job openings, including a feature to score applicants' resumes against job criteria for efficient hiring. The app also includes a job search function to match applicants with suitable opportunities based on their resumes efficiently.
I developed a Streamlit web app for generating datasets, focusing on Retrieval-Augmented Generation (RAG). This involves extracting meaningful data from PDF documents to create datasets and build a vector database for semantic searching. I enhanced large language models to answer organizational questions using internal documents as the knowledge base.
The project introduces a machine translation system utilizing a Transformer model and mediapipe to translate Thai text input into Thai Sign Language gestures for output.
This project aim to create a mcahine translation that can predict intentions from body language using the Sequence to Sequence model, focusing on the EGGNOG dataset.
A digital service that allows users to request or submit all documents online, eliminating the need to physically visit the faculty or location.
A Next.js web application, utilizing the dataset from Kaggle, alongside with Elasticsearch and Kibana to create a search engine for food vendors and restaurants in Thailand.
A fake version of ShortURL that only looks like the real thing but doesn't actually shorten any links.
Certificate
