Thanapapas Horsuwan Email & Phone Number

Pathum Thani, Thailand

• Collaborated with the State Railway of Thailand (SRT) to modernize Spare Part Inventory, Computerized Maintenance Management System (CMMS), and visualization through Business Intelligence (BI) Dashboard.• Initiated a Technician Management Platform branded as ChangTum Platform (ช่างทำ). With currently over 400 technicians registered, 3k jobs closed, and 6k Pre-Acceptance Test (PAT) Report generated. • Developed Business Intelligence (BI) Mobile Dashboard for Logistics Management Information System (LMIS) of the Royal Thai Air-Force (RTAF). Timely and visual reporting of the Aircraft Status System (ACSS) and Combat Equipment Status System (CESS).• Sped up legacy document retrieval of more than 1M pages from days to minutes with e-Document System and tag-based indexing for One Stop Service Royal Thai Air-Force (RTAF).

Pathum Thani, Thailand

Pathum Thani, Thailand

Bangkok Metropolitan Area, Thailand

Took part in designing medium-capacitance low bend-radius control cables for passenger boarding bridge system

Bangkok Metropolitan Area, Thailand

Part-time R&D Engineer • Developed a recommendation system using a fusion of collaborative filtering and content-based filtering with TF-IDF vectorization.• Designed ETL process for the Data Warehousing infrastructure using Apache HBase.• Experimented with Blockchain BFT state machines, Hierarchical Deterministic (HD) wallets using BIP 32/39/44, and signature verification with Secp256k1.

Bangkok Metropolitan Area, Thailand

Developed and performed comparison analysis on real-time License Plate Recognition System utilizing state-of-the-art convolutional neural network (CNN) architectures using Keras and Tensorflow.

Bangkok Metropolitan Area, Thailand

Designed and developed Q-Learning Reinforcement Learning traffic lights control agent with partial observability in the Chula-SSS dataset using the microscopic traffic simulator Simulation of Urban Mobility (SUMO). Distributed prioritized experience replay (Ape-X) Deep Q-Networks (DQN) architecture was utilized to optimize training speed and avoid state space explosion.

Master Of Engineering - Meng, Computer Engineering

Bachelor'S Degree, Information And Communication Engineering, 4.0

Activities and Societies: Sathorn Model Project (WBCSD SMP2.0), OF@TEIN+ Project • Conducted a comparative study on recent language models.

High School

• IB Bilingual Diploma Degree • AP Physics C