Victoria

Verified Student

Passionate learner building skills in AI and Software Engineering. Completed 0 practice sessions.

🎓Fullstack & AI💻6 Interivews

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Lead Mentor

Leyuan Yu

LinkedIn Profile

"Victoria helped me delivered two client facing projects using LangGraph, she is super easy to work with!"

Featured Work

Industry Projects

generalIndustry Project

Founder Buddy — Deterministic AI Agent for Business Planning

An AI agent built with LangGraph and LangSmith that uses state machines and full observability to guide entrepreneurs through end‑to‑end business plan creation without drifting, rambling, or hallucinating.

12/16/2025

generalIndustry Project

Snowboard Coach AI — Video‑based, 4‑stage pipeline for instant technique feedback

An AI coach that analyzes uploaded snowboard clips with ControlNet pose extraction, LLaVA biomechanics evaluation, BLIP‑2 scene descriptions, and LLaMA‑2 chat to deliver a structured coaching report and interactive Q&A, including key‑frame overlays of your pose beside the original video.

12/16/2025

Interview Highlights

5 highlights

Score: 9.5/10

behavioral

Tell me about a time when you worked directly with a client or business stakeholder on an AI-related project.

326s"Comprehensive and structured response detailing the project, challenges, and solutions with clear client engagement and technical depth."

Score: 9.0/10

technical

Could you walk me through one of your AI projects? How did you evaluate and test the agent’s performance?

214s"Detailed explanation of project execution, evaluation metrics, and replication of research approach, showcasing technical expertise and problem-solving skills."

Score: 8.8/10

situational

Why are you interested in joining Manulife?

235s"Strong alignment with company values, clear understanding of Manulife's mission, and personal career goals, articulated with enthusiasm and clarity."

Score: 8.7/10

situational

How would you approach designing a system to process call transcripts using AI and NLP?

265s"Structured approach to problem-solving, clear identification of data sources, and thoughtful consideration of both short-term and long-term strategies."

Score: 8.5/10

technical

What kind of ML or NLP techniques might you consider for extracting sentiment and identifying topics?

123s"Well-articulated use of both traditional and modern NLP techniques, demonstrating a comprehensive understanding of the tools available for sentiment and topic analysis."

Skill Assessment

Note: Junior AI Engineers

Assessment provided by Leyuan Yu

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