Python
JavaScript/TypeScript
C++
MATLAB
OpenAI, HuggingFace, AWS Bedrock, MCP
LangGraph, LangChain, LangSmith
ChromaDB, Pinecone, PGVector
Pytorch, Tensorflow, Scikit-Learn, Keras
Numpy, Pandas, Matplotlib
Git, GitHub, GitLab
Postgres, ElasticSearch
Docker, Kubernetes
Developed AI Customer Chatbot for Fixbet-related queries from Turkish Client. The chatbot supports query regarding customer API from GraphQL query, FAQ integration using pgvector database, multi-language support through LangGraph, and deepseek as primary LLM used.
Containerized the Chatbot through Docker and docker-compose. Exposed the chatbot logic through FastAPI.
Developed Gitlab CI Pipeline for continuous integration.
Helped with building kubernetes manifest for development, preproduction, and production cluster.
Teaches Electrical, Electronics, and Computer Engineering subjects (Control Systems, Robotics, Signals Processing, Machine Learning)
Published research articles about machine learning and electrical engineering applications
Supervised students about machine learning topics about classification, regression, object detection, and building chatbots.
Research project titled "Development of CNN and RNN Topology for Impedance Spectroscopy Analysis" funded by Department of Science and Technology (DOST-PCIEERD).
Responsible for data visualization, feature engineering, and machine learning optimization process.
Taught Electrical Engineering Board Exam Subjects in preparation for the board exam of recent EE graduates.
Taught undergraduate students in MAPUA, LPU-Cavite, and CDM for their EE Correlations Subject in preparation for the board exam.
GPA: 1.76/1.00
Rank 3 of Class of 2020
Berdin R., Caduyac R.C. (2025): Towards interpretability: Assessment of residual networks for tomato leaf disease classification. Res. Agr. Eng.
R.C.M. Caduyac, J.P.A. Ramoso, J.P.R. Arazas, and R.C.V. Tomas, "Electrochemical Impedance Spectroscopy based Discrimination of Materials using Artificial Neural Networks," UP Los Baños Journal, vol. XXII, no. 1, pp. 62, Apr.-Oct. 2024.
R.C.M. Caduyac and J.F.R. Chan, "Comparative Analysis of Water Potability Prediction Based on Classical Machine Learning Algorithms and Artificial Neural Networks," in CRC Press eBooks, 2024, pp. 149–153.
A.D. Sta. Cruz, J. Osayan, L.R. Moreno, and R.C. Caduyac, "Performance of ArUco Detector in ArUco Marker Detection Using Non-GPS Drone," in CRC Press eBooks, 2024, pp. 63–67.