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Felix H.

Felix H.

Bilingual Chinese-English AI Data Evaluator | Finance, Crypto, E-commerce & Scam-Message Review

United Kingdom flagexeter, United Kingdom

Key Skills

Software

Other

Top Subject Matter

Scam-message review and network security (fraud detection)
E-commerce, digital marketing, product data review, and consumer behaviour
Finance, crypto trading, investment research, and market analysis

Top Data Types

TextText
VideoVideo
ImageImage

Top Task Types

ClassificationClassification
Evaluation/RatingEvaluation/Rating
Data CollectionData Collection

Freelancer Overview

Bilingual Chinese-English AI training and data evaluation candidate with experience across finance, marketing, e-commerce, crypto/Web3, and network security review. I have hands-on experience reviewing scam-related message data at China Unicom, conducting equity and trading research at Edinburgh University Trading and Investment Club, and supporting AI/Web3 product storytelling through hackathon projects involving AI agents, quant trading, and automated strategy backtesting. My strengths include text evaluation, classification, rating, factuality review, financial and marketing domain assessment, bilingual content quality review, and structured research. I am especially suited to AI training tasks that require judgement beyond simple labeling, including evaluating LLM responses for accuracy, relevance, clarity, tone, reasoning quality, and domain-specific correctness.

Labeling Experience

Algo Wars Hackathon 2025 — Quant Trading Strategy Evaluation

TextTextEvaluation/RatingEvaluation/Rating

Participated in Algo Wars Hackathon 2025 London at Imperial College London. Our team FH won second place in the Trading track and received best pitch/roadshow recognition. We developed an ETH/USD spot CTA-style automated trading strategy using Pine Script and TradingView, involving Z-score price deviation, RSI normalisation, volatility thresholds, market skewness, momentum factors, and backtesting. This experience supports evaluation of crypto, trading, quantitative strategy, and financial AI outputs for logic, clarity, and domain correctness.

2025 - 2025

AgentFabric — AI/Web3 Product Narrative & Pitch Evaluation

TextTextEvaluation/RatingEvaluation/Rating

Contributed to AgentFabric, a winning AI/Web3 hackathon project, by supporting pitch deck development, presentation storytelling, demo video editing, and external product narrative. My role focused on translating complex AI agents and Web3 commerce concepts into clear stakeholder-facing language. This is relevant to AI training and data evaluation tasks involving technical content review, product description evaluation, clarity assessment, coherence checking, and audience-fit judgement.

2025 - 2025

China Unicom — Scam Message Review & Network Security Data Analysis

TextTextClassificationClassification

Reviewed and filtered scam-related text messages as part of a telecom network security workflow. Supported the identification and classification of suspicious message patterns, assisted with data quality checks, and helped improve fraud detection effectiveness. This experience is directly relevant to AI training tasks involving text classification, harmful content detection, scam/fraud evaluation, and structured data review.

2023 - 2023

Education

U

University of Edinburgh

Master of Arts, Business with Marketing

Master of Arts
2021 - 2025

Work History

E

Edinburgh University Trading and Investment Club

Equity Analyst / Trading Analyst

Edinburgh
2024 - Present
S

Shanghai Honghe Industry Co., Ltd.

Co-Founder, Digital Marketing & Platform Operations

Shanghai
2023 - Present