ณภัทรพงศ์ โชควิริยะจิตต์

Internship

AI Engineer at IFCG Public Company Limited (2026-05 – Present)

Internship

• Researched ML frameworks and developed a proof-of-concept streaming Automatic Speech Recognition (ASR) pipeline optimized for the Thai language.
• Engineered an Optical Character Recognition (OCR) prototype for passport data extraction, implementing Pydantic for strict schema validation and structured data output.

Researcher at Chulalongkorn University (2026-05 – Present)

LLMs behavior in Board Game (Coup) - Project in NLP for Social Sci

• Designed a comprehensive evaluation matrix to assess LLM reasoning, bluffing capabilities, and logical consistency based on generated outputs in the imperfect-information game Coup.
• Defined the core output requirements, specifying the exact data points and strategic decisions that needed to be extracted from the LLM's text.

Researcher at Chulalongkorn University (2026-05 – Present)

Time Series Modeling in Base R - Project in Time Series

• Designed a comprehensive evaluation framework to assess the accuracy, volatility, and statistical reliability of 10 different ARIMA models based on simulated financial time series data.
• Defined the core forecasting requirements, specifying the exact confidence intervals and residual diagnostics (Ljung-Box, ACF) that needed to be extracted to validate the mathematical integrity of the projections.

Independent Research at Chulalongkorn University (2026-06 – Present)

Fraud Detection - SENIOR PROJECT

• Researched structural and transactional fraud patterns within public Anti-Money Laundering (AML) datasets to optimize feature engineering pipelines.
• Defined the core performance metrics to rigorously test and compare the efficacy of Graph Neural Networks (GNN) versus traditional tree-based ensembles (Gradient Boosting, Random Forest).

Data collector, Proposer at Chulalongkorn University (2025-03 – Present)

R studio project - Final Project in Stat Method

• Designed and executed a multiple regression and experimental design framework in R to statistically analyze and predict key factors influencing life expectancy.
• Spearheaded data collection and formulated the core research methodology, culminating in a formal presentation of statistical findings and predictive insights to the faculty mentor.

Data analyst, ML engineer at Chulalongkorn University (2026-02 – Present)

PetAdoption Kaggle - Project in Applied Deep Learning

• Managed in planning project about multimodal machine learning
• Built scalable end-to-end machine learning pipelines using Scikit-learn such as data preprocessing, transformation, model training, and validation
• Performed feature engineering and feature selection to improve model performance and reduce overfitting.

Project Developer at Chulalongkorn University (2026-02 – Present)

Recommender System - Project in Applied Deep Learning

• Built a local AI research assistant using FastAPI, FAISS, and Llama-3 (Ollama) to perform semantic search and summarize subjects in faculty of science.
• Implemented vector-based search using SentenceTransformers to retrieve contextually relevant documents based on user queries.

Competitor at Artificial Intelligence Association of Thailand (AIAT) (2026-04 – Present)

Hackathon Super AI Engineer Season 6

• Extracted and structured voting data from scanned 2026 Thai election documents by implementing advanced OCR and image processing pipelines.
• Built and optimized a Retrieval-Augmented Generation (RAG) system for improving LLM response accuracy through effective vector search and prompt engineering.
• Performed comprehensive Exploratory Data Analysis (EDA) on Bangkok's electricity consumption data to visualize time-series trends and extract actionable insights regarding urban energy demand.

Bachelor of Science in Mathematics – Chulalongkorn University (2027-05)