Qifan Wen

Summary

I recently graduated from Ohio State with a master’s degree in ECE, specializing in applied machine learning, retrieval augmented generation (RAG), and agentic AI design. Through my program I built hands on projects across classification, RAG systems, model inference analysis, reinforcement learning for control and decision making, and more advanced work like ultrasonic signal localization. I am now looking for an industry position where I can apply this knowledge and pursue my interest in machine learning.

I am looking for AI Engineer, Machine Learning Engineer, and Data Scientist positions.

Education

The Ohio State University Columbus, OH

M.S. Electrical & Computer Engineering August 2024 – May 2026

Coursework: Machine Learning, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization

Organizations: RAMSIS Lab, IEEE, ACM, OSU AI Club, BDAA, OSU AWS Club, OSU Claude Builder Club

University of Electronic Science and Technology of China (UESTC) Chengdu, China

B.E. Science & Engineering of Microelectronics September 2020 – June 2024

Coursework: Calculus, Linear Algebra, Differential Equations, Probability & Statistics, Signals & Systems

Work Experience

RAMSIS Lab, The Ohio State University Columbus, OH

Research Technician (Part-Time) May 2026 – August 2026

Own an AI-assisted guided-wave screening pipeline for heat-exchanger tubes end to end, from a high-fidelity Abaqus torsional-wave FEM simulation to 1D CNN, MLP, and U-Net defect classifiers and a signal-processing QC gate, the team’s most imminent client deliverable.
Built a COMSOL multiphysics model for transmission-line failure prediction, raising fidelity by modeling the sag effect as a nonlinear elastic displacement of nodes along the line rather than the usual linear approximation.
Formalized a visiting company technician’s inspection expertise into a systematic decision tree (re-test, defect present, defect type), making the screening logic reproducible; collected real signals hands-on with physical tubes and probes and designed the support and defect configurations.

Projects

OSU Campus Buildings Energy Consumption Analytics FEB 2026 ASR Models Fairness on Accents and Ethnicities FEB – MAY 2026 RL for Soft Robotics SEP 2025 – APR 2026 RL for Imperfect-Info Games JAN – APR 2025 Drone Rental Database SEP – DEC 2025 Regression Analysis · Kaggle DEC 2024

Timeline

Skills

Applied & Scientific Machine Learning Regression, classification, and harder tasks such as localizing the informative window within a pipeline
Reinforcement Learning (RL) LLM alignment, control, sequential decision-making
Agentic AI & Retrieval-Augmented Generation (RAG) Tool-using multi-step agents, fast question-answering over private knowledge bases
Finite Element Analysis & Physics-Based Simulation Static, transient, and explicit-dynamic analysis, multiphysics, Abaqus and COMSOL
Knowledge Graph & Knowledge Base Construction Ontology design, relational, graph, and vector databases