
Education:
Experiences:
Undergrad Research Assistant
May.2024-Aug.2024 (FT); Sep.2024-Dec.2024 (PT)
JD:
1. Analyzed and distilled academic literature to provide strategic recommendations/insights for Three-way Decisions
Making research under the supervision of Mengjun Hu.
2. Identified drawbacks and then re-designed consensus search algorithm to improve algorithm performance, enhancing
decision making accuracy and efficiency in modelled conflict scenario.
3. Contributed to research project with authorship: Three-way Strategy Design for Conflict Analysis (Included in Rough
Sets, Part 3, IJCRS 2025). Learn More.
Part time Teaching Assistant
Sept.2024-Apr.2025; Sep.2025-Dec.2025
JD:
1. Served as a Marker responsible for grading Labs/Recs and Assignments for Department of Math/CompSci in CSCI 1226 (Introduction to Computer Programming), CSCI 3430 (Principles of Programming Languages)
and for Sobeys School of Business in MGSC 1205 (Quantitative Methods) & MISA 2320 (Business Application Programming), MISA 1225 (Introduction to Computer Applications).
2. Provided students detailed and constructive feedback to support their learning experiences in courses using
Brightspace and proctored exams of these courses.
Undergrad Research Assistant
June.2025-Aug.2025
JD:
1. Advised Dr. Somayeh Kafaie on the research project: Optimizing Healthcare Delivery: Advanced Computational Methods for
Safe Medication Practices in Nova Scotia’s Aging Population through weekly online and in-person presentations of
research reports.
2. Managed and organized academic resources using Zotero as the primary file management system.
3. Reproduced LLM-based Text2Cypher demos locally by integrating the DeepSeek API with OpenAI, LangChain, LangGraph, and
Neo4j (Python libraries), and by analyzing official documentation.
4. Constructed graph databases with configuration management by pre-processing, modelling data in Excel, importing via
Neo4j Data Importer and Cypher in Neo4j Desktop.
5. Deployed graph databases on an enterprise-level Linux server using Docker with Linux and Docker command-line tools.
6. Analyzed and synthesized academic documents to extract key findings and deliver strategic insights to supervisor.
7. Developed RAG solution using Parent Document Retriever from Langchain, Milvus as vector database, bs4 to extract
information from websites.
8. Designed and implemented agentic workflow with LangGraph to generate optimized Cypher query.
9. Fine-tuned a decoder-only LLM on a high-performance computing (HPC) cluster provided by the Digital Research Alliance
of Canada, accessed via SSH. Utilized Linux command lines, bash scripts, and uv package management on a cleaned dataset
sourced from HuggingFace, with training conducted using the TRL and Transformers libraries.
Notable Extracurricular Activities: