Machine Learning Engineer

Resume

Name: Zibin Guan Phone: 732-***-**** Email: *****.******@*****.***

LinkedIn: https://www.linkedin.com/in/zibinguan97/ GitHub: https://github.com/BG97 Objective: Seeking a Machine Learning Engineer role to build scalable LLM-driven systems that blend retrieval-augmented generation (RAG), cloud-native deployment, and real-world AI applications across industries.

Skills

Core ML & NLP: PyTorch, TensorFlow, Scikit-learn, LLMs, Prompt Engineering Data & Cloud Technologies: SQL, PostgreSQL, Neo4J.AWS, GCP Programming & Deployment: Python, FastAPI, Bash, Docker, Git Professional Experience

Founder & AI Consultant – Guangzhou, China 2023.03 – 2025-04 o Designed and led AI Systems Thinking workshops for 100+ students and professionals

(ages 6–60+) across education, HR, and e-commerce, using GPT-4, DeepSeek, Qwen, and No-Code tools.

o Built multilingual AI assistants and job fit scoring systems for HR clients, automating resume screening, compensation analysis, and feedback summarization. o Fine-tuned math question generation models to deliver adaptive learning content; deployed retrieval-augmented pipelines using Chroma, LangChain, and prompt engineering.

o Developed and deployed FastAPI-based backend services, integrated with dashboards, reducing content ops cost by 30%.

o Scaled AI education studio from 0 to 3 locations; transformed innovation into a revenue-generating product.

HSBC – Guangzhou, China 2022.08 – 2023.02

Data Engineer and Cloud Engineer

o Built real-time GCP pipelines (BigQuery, Dataflow) for $10M+ daily reporting; cut processing time by 40%

o Processed 100M+ rows of transactional data from India; enhanced volatility detection accuracy by 25% through scalable data architecture. Institute of Electrical and Electronics Engineers (IEEE) – New Jersey, USA 2020.08 – 2021.12

Data Scientist and AI Engineer

o Led the development of a 1TB+ academic knowledge graph using Neo4J (20M+ nodes), improving paper recommendation by 30%.

o Built end-to-end AWS data lake pipelines (S3, Lambda, Redshift); supported 10K+ daily IEEE Xplore users.

o Applied SciBERT to disambiguate author profiles and classify topics across multi- institutional datasets (Harvard, Northwestern).

Trilogy Data Science Bootcamp – New Jersey, USA 2019.08 – 2020.02 Data Visualization Instructor

o Taught Python, SQL, ML, APIs, and big data to 45+ working professionals; achieved >90% course completion rate.

o Led capstone projects using MongoDB, Tableau, Git, and web scraping; provided personalized mentorship and real-world assignments to boost job readiness. JPMorgan Chase – New Jersey, USA 2018.07 – 2019.05 Software and Data Engineer

o Built 6+ Angular-based tools to optimize ELT processes and improve data access across teams; automated DNS management for 1,000+ users, reducing manual tasks by 90%. o Applied ML to analyze 20GB+ of server logs, identifying anomalies and supporting cost- saving infrastructure decisions.

Education

New Jersey Institute of Technology (NJIT), Newark, NJ Master of Science in data science 2018.09 – 2020.05 Bachelor of Science in information technology 2015.09 – 2018.05 Minor in Business 2015.09 – 2018.05

Summary: AI Engineer and Data Scientist with 5+ years of cross-border experience in building LLM-driven systems, cloud data pipelines, and knowledge graphs. Proven record of translating complex AI solutions into real-world impact across finance, education, and HR sectors. Proficient in Python, LLMs, Machine Learning, and AWS. Currently seeking a role where I can scale innovative AI products for global impact.

Contact this candidate