Summary
Work History
Education
Skills
Timeline
Generic

Dan Fang

Machine Learning Engineer / Data Scientist
Ramat Gan

Summary

Machine Learning Engineer with an M.Sc. in Machine Learning & Data Science. Specialized in Computer Vision and Hybrid Architectures, with proven success in developing ResViT—a CNN-Transformer model—achieving significant gains in accuracy and model robustness. Proficient in building end-to-end PyTorch pipelines and skilled in NLP, Big Data Platforms, and MLOps. Dedicated to ensuring data integrity and optimizing deep learning models for production-level performance

Work History

Risk Intelligence Analyst

EverCompliant
2016 - 2019
  • Conduct deep-dive investigations of online merchants, marketplace sellers, and associated digital footprints (websites, domains, DNS/WHOIS, IPs, registrars, hosting, business records, social media, etc.).
  • Analyze suspicious products/services (e.g., Trending pharmaceuticals, illicit drugs, fraudulent entities, online scam networks, etc.)
  • Identify transaction laundering, hidden payment activity, policy circumvention, and merchant obfuscation techniques.
  • Produce clear, concise, evidence-based Risk Insight Reports, EVP-style merchant reviews, and scam assessments. Translate investigative findings into actionable risk recommendations for clients.
  • Assess merchants for compliance with card-brand rules, MCC suitability, regional regulations, and platform policies.

Hybrid CNN-Transformer For Permuted Data

M.Sc. Project
2024 - 2025
  • Architecture Innovation: Engineered and optimized ResViT, a hybrid architecture combining CNNs and Transformers to maintain high accuracy under extreme spatial disruptions.
  • Engineering Pipeline: Built an end-to-end PyTorch pipeline for data ingestion, advanced augmentation, and model evaluation.
  • Robustness & Data Integrity: Achieved a 30% accuracy improvement over ResNet baselines; optimized for model resilience.

Chinese Coordinator

Amir Shahada Building & Construction
2020 - 2025
  • Coordinated structural drawing updates between international stakeholders and local engineers to ensure design fidelity.
  • Interpreted complex technical blueprints and safety protocols for multi-cultural on-site crews.

Education

Master of Science - M.Sc. in Machine Learning & Data Science

Reichman University
Herzliya, Israel
04.2001 -

Bachelor of Science - Vehicle Engineering

South China University of Technology
Guangzhou, China
04.2001 -

Skills

AI/ML: Deep Learning, Transformers, CNNs, NLP (Sentiment Analysis, Tokenization), LLM Fine-tuning (LoRA), RAG

Timeline

Master of Science - M.Sc. in Machine Learning & Data Science

Reichman University
04.2001 -

Bachelor of Science - Vehicle Engineering

South China University of Technology
04.2001 -

Risk Intelligence Analyst

EverCompliant
2016 - 2019

Hybrid CNN-Transformer For Permuted Data

M.Sc. Project
2024 - 2025

Chinese Coordinator

Amir Shahada Building & Construction
2020 - 2025

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Dan FangMachine Learning Engineer / Data Scientist