Teejuta
Sriwaranon
Computer Engineering Student & AI Enthusiast
Hi, I'm Gun — a passionate Computer Engineering student at Chulalongkorn University with a deep fascination for Artificial Intelligence, software development, and the mathematics behind algorithms.
Through internships and roles at industry leaders like LINE MAN Wongnai, Looloo Technology, AIMET, and KBTG, I've cultivated expertise across the full technology stack.
My journey spans building robust APIs, deploying AI-powered applications, crafting smart contracts, and developing wellness tech solutions for medical students.
Python
JavaScript/TypeScript
Go
Solidity
SQL
C/C++
Rust
Java
React/Next.js
Astro
Express.js
PostgreSQL
MongoDB
Python
JavaScript/TypeScript
Go
Solidity
SQL
C/C++
Rust
Java
React/Next.js
Astro
Express.js
PostgreSQL
MongoDB
PyTorch
TensorFlow
Scikit-learn
Hugging Face
OpenCV
Monai
Flower (FL)
Docker
AWS
Apache Airflow
Git/GitHub
CI/CD
TailwindCSS
GSAP
Nest.js
Gin
gRPC
Ntex
PyTorch
TensorFlow
Scikit-learn
Hugging Face
OpenCV
Monai
Flower (FL)
Docker
AWS
Apache Airflow
Git/GitHub
CI/CD
TailwindCSS
GSAP
Nest.js
Gin
gRPC
Ntex
React Native
Flutter
Redis
Gradio
Tauri
Python
JavaScript/TypeScript
React Native
Flutter
Redis
Gradio
Tauri
Python
JavaScript/TypeScript
Education
Chulalongkorn University
Computer Engineering Faculty (CP)
Bangkok, Thailand
Currently pursuing a Bachelor's degree in Computer Engineering. Developing expertise in software development, artificial intelligence, and algorithm design while maintaining strong academic performance.
Benjamarachutit School
Development and Promotion of Science and Technology Excellence (DPSTE)
Nakhon Si Thammarat, Thailand
Completed high school with a focus on science and technology development. Gained foundational knowledge in mathematics, physics, and computer science that sparked my interest in engineering.
Experience
Kasikorn Business-Technology Group (KBTG)
AI Engineer (Apprenticeship)
Bangkok, Thailand
Waiting for onboarding.
Khui AI
Software Engineer Pro Max (Part-time)
Bangkok, Thailand
I worked across frontend, backend, and AI engineering, developing a customizable layout system and building a mechanism for dynamically switching LLM model strategies to reduce hallucination and context loss, along with other features planned for future development.
LINE MAN Wongnai
Back End Developer (Internship)
Bangkok, Thailand
I developed a gRPC service in Go to retrieve data for feeding into DAGs and implemented the DAGs to automate report generation and email delivery to merchants. During this process, I also gained a strong understanding of encryption algorithms to ensure secure data handling throughout the pipeline.
AIMET
Software Developer (Part-time)
Bangkok, Thailand
I developed mobile and web platforms for the MDCU Wellness Center, supporting medical students at Chulalongkorn University, as well as mobile platforms for the CPIRD Wellness Center serving students in the CPIRD program. These applications were successfully deployed on both the App Store and Play Store, providing accessible wellness resources to medical students across programs.
Looloo Technology
Machine Learning Engineer (Internship & Part-time)
Bangkok, Thailand
I experimented with voice activity detection and speaker diarization models, integrating them into an automatic speech recognition (ASR) pipeline. I deployed AI services using the Gradio framework and Docker, ensuring scalable and user-friendly interfaces. Additionally, I scraped and preprocessed audio data and implemented audio enhancement modules to improve input quality for downstream tasks.
Kasikorn Business-Technology Group (KBTG)
Research Engineer (Apprenticeship)
Bangkok, Thailand
I developed Federated Learning models for fraud detection tasks, enabling collaborative training across decentralized data sources. To ensure data confidentiality, I applied privacy-preserving techniques and policies to enhance the privacy of sensitive datasets throughout the learning process.
Kasikorn Business-Technology Group (KBTG)
Blockchain Developer (Internship)
Bangkok, Thailand
I developed an E-learning platform using Next.js for the frontend and Express.js for the backend, featuring a course recommendation model that processes user input to suggest suitable courses. Additionally, I designed and implemented smart contracts for learning tokens and NFT-based course completion certificates, integrating blockchain technology into the educational experience.
Achievements & Recognition
Super AI Engineer Season 5
Super AI Engineering Research track, focusing on medical AI applications