Chotpisit Adunsehawat
Computer Engineering student specializing in Software Engineering, Infrastructure, and Data Science. Passionate about solving complex challenges through engineering and research.
Education
- Achieved 3.93/4.00 GPA (7 semesters)
- Integration Bee Competition Representative
- Exchange Program: Guangxi University, China
- Teaching Assistant: Backend Course (Computer Engineering Essentials)
- Coursework: Data Structures, Algorithms, Natural Language Processing, Pattern Recognition, Programming Methodology
- Participated in exchange programs, symposia, and competitions
- Won 1st Degree Diploma from 21st Kolmogorov Readings Conference, Russia
B.Eng. Computer Engineering, Chulalongkorn University, Thailand. 2022-Present (Expected Graduation: June 2026)
High School, Mahidol Wittayanusorn School, Thailand. 2019–2022 (GPA 4.00/4.00)
Secondary School, Suankularb Wittayalai School, Thailand. 2016-2019 (GPA 3.56/4.00)
Work Experience
Data Scientist, Intern
January, 2026 - April, 2026
- Researched market sentiment in FOMC minutes using NLP techniques to improve macroeconomic forecasting
AI Engineer, Part Time
January, 2026 - March, 2026
- Developed an AI agent chatbot for retail using LangChain, LiteLLM, and AWS services
- Designed an ML-based fraud detection POC for mule account detection using transactional data
AI Researcher and Technology Risk, Intern
August - December, 2025
- Researched US and Thai stock market prediction using transfer learning on ESG data
- Tested internal cybersecurity and AI risk-management chatbots
AI Researcher, Intern
June - August, 2025
- Investigated mechanistic interpretability of LLMs, focusing on chain-of-thought faithfulness and randomness
- Researched AI Safety and Alignment under the supervision of JAIST and Chulalongkorn University
Software Engineer, Part Time
May, 2025 - July, 2025
- Developed website features using Next.js and Nuxt.js
- Built and improved mobile app features using React Native
Data Engineer, Part Time
November, 2024 - June, 2025
- Built Google BigQuery data pipelines using Apache Airflow and integrated Krayin CRM APIs for internal lead management
Software Engineer, Intern
June - November, 2024
- Migrated role-management tools to Kotlin and integrated OPA and Okta OAuth2 Proxy for authorization
Full Stack Developer, Intern
June - August, 2023
- Implemented React forms and Express.js API endpoints
- Architected core structures for AI features
Software Engineer and Data Analyst, Part Time
March, 2022 - December, 2025
- Architected a TCAS ranking simulation service for 40k+ users
- Maintained internal platform using Next.js, NestJS, GraphQL, Prisma, and PostgreSQL
- Automated data synchronization bots and end-to-end tests using Selenium and Cypress
- Optimized VM deployments and resolved OS-level inode issues
Technologies and Languages
- Languages: C, C++, Python, HTML, CSS, JavaScript, TypeScript, Java, Scala, Kotlin, SQL
- Software: Node.js, React, Next.js, Vue.js, TailwindCSS, NestJS, SvelteJS, ExpressJS, Prisma, GraphQL, gRPC, FastAPI, Ktor
- Data Science: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
- Tools: Git, Docker, Kubernetes, Terraform, PostgreSQL, MongoDB, Redis, RabbitMQ, Selenium, Cypress, Grafana, Apache Airflow, MLflow, PySpark, Kafka
- Services: GCP, AWS, Azure, Firebase, GitHub Actions, GitLab CI/CD, Vercel
Project
- Thai Context Understanding Benchmark of Multimodal LLMs - Created a Thai multimodal LLM benchmark using Visual Genome data to generate evaluation questions.
- Fine-tuning Diffusion Language Model for Thai Text Summarization - Performed supervised fine-tuning and evaluated the LLaDA diffusion model for Thai text summarization against SOTA LLMs using DeepEval.
- Chess Move Detection using Transfer Learning with CNN - Engineered a computer vision pipeline (96.94% accuracy) for chess video-to-notation by fine-tuning ResNet and InceptionV3.
- Stock Return Forecasting with Portfolio Optimization - Forecasted S&P 500 returns (42.52% YoY) using various ML models and portfolio optimization techniques.
- Multimedia Learning Efficiency in Student Analysis using MASK R-CNN - Analyzed multimedia learning efficiency using Mask R-CNN and Random Forest.
- CU Get Reg - Chulalongkorn University course portal back-office (15k+ users). NestJS/GraphQL service managing 700+ reviews/500+ courses.
- CU Get Rekt - Hackathon winner: Student withdrawal app. Designed the backend (NestJS/Prisma) with automated PDF generation.
- CU First Date and Rub Puen Kao Mai 2024 - Developed the registration module for CU First Date (House selection, QR activities).
- CU Intania Open House 2024 - Developed a workshop reservation system (9k+ users) using Next.js and Firestore.
- Soul Seasons - Built an interactive exhibition site (5k+ users) using Next.js and Framer Motion.
- E-learning Website - Developed an e-learning backend using NestJS, Prisma, and Google Cloud Run.
- GFinder - Researched a math model for Tennis GOAT identification using Python and Pandas (IMMC 2021).
- MWIT29 Archive - Built a school archive using Next.js, MongoDB, and Cloud Storage.
Achievement
- Chula LegalTech Year 6 (2025) - Won 1st place (50,000 THB) for a youth job-matching web app. Built the frontend and OCR backend using Next.js and Flask.
- JUMP Thailand Hackathon by AIS Academy (2025) - 2nd Runner-up (40,000 THB) among 700+ teams for an AI massage teaching system using CV and multimodal LLMs.
- AI Hackathon Powered by MITR PHOL (2025) - 2nd Runner-up among 156 teams for a predictive maintenance system using sensor data forecasting models.
- Thinc's 10 Days in 10 Years Project (2022) - 1st place among 50+ teams for a student withdrawal app. Designed backend and database architecture.
- Computer Olympiad Camp (2019–2022) - Qualified for National Computer Olympiad Camps.
- Meta Hacker Cup (2022) - Qualified for Meta Hacker Cup 2022 Round 2.
- Google Code Jam (2020, 2021) - Qualified for Google Code Jam Round 1 (2020, 2021).
- KU01 Coding Competition (2019) - Achieved perfect score and won 1st place in competitive programming.
Other
- Languages: Thai (Native), English (Professional/IELTS 7.5), Chinese (Elementary)
- Offers Received (Declined):
- SCB Data Scientist Intern (2025)
- Thai Scholarship (ทุนกระทรวงวิทย์) from the Ministry of Science and Technology
- Faculty of Medicine, Chulalongkorn University
- Academic Tutor (Math/Computer/Physics/Chemistry/Biology/English)
- Extracurriculars: President of High School International Chess Club, Head of Information Dept. (Yearbook Committee)
- Hobbies: Badminton, Football, Table Tennis, Running, Games, Piano, Music Jamming