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Teng TengTT

Teng Teng

Data & AI Specialist

€700/day
Berlin, DE
3-7 years

Average response time: 1 hour

About Teng

AI/ML engineer specializing in production-grade LLM and agentic systems for enterprise clients. At SAP I design agentic workflows, RAG pipelines, and conversational AI for B2B sales — my systems handle 20,000+ daily queries in production. M.Sc. Machine Learning & Data Science, Humboldt-Universität zu Berlin. 3+ years in German and international enterprise environments. Core strength: translating complex business problems into concrete AI architectures — from scoping through deployment and evaluation. Available for remote project engagements with European clients.
  • English

    Native or bilingual

  • German

    Conversational

Remote only
Primarily works remotely

Experience

  • SAP
    Data & AI Specialist
    SOFTWARE PUBLISHING
    August 2023 - Today (3 years)
    Berlin, Germany
    • Architected an AI agent mapping customer business challenges → AI use cases + products, improving sales lead-matching accuracy by 25%.
    • Led 5-engineer team building RAG pipelines (LangChain, Python) for an internal GenAI chatbot — 20k+ daily queries, resolution rate +35%.
    • Designed DataHive, an agentic knowledge-retrieval service (Hugging Face + tool-using agents), cutting API response time by 40%.
    • Drove PoC → production delivery using SAP AI Core, multi-agent workflows, and similarity search.
    Python Langchain RAG LLM SAP BTP
  • Ludwig Maximilian University of Munich
    AI Research Scientist
    RESEARCH
    October 2020 - October 2022 (2 years)
    Munich, Germany
    • Built recommendation system and resource-allocation model over 10M+ data points.
    • Secured $200K via the German Chancellor Fellowship for research on AI in business-process automation.
    • Co-authored research on human–AI collaboration; covered by CNN and international media.
    Machine learning Python NLP Recommender Systems Pytorch
  • Trip.com Group
    Senior Data Engineer
    TRAVEL AND TOURISM
    June 2018 - October 2020 (2 years and 4 months)
    Shanghai, China
    • Built Python/Node.js recommendation engine for call-center task allocation — throughput +50%, latency −30%.
    • Automated content classification with computer vision, reducing manual review effort by 40%.
    Python Node.js Recommendation systems Computer Vision SQL

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Education

  • M.Sc.
    Humboldt Universität zu Berlin
    M.Sc.
  • B.Sc.
    Northeastern University
    2016
    B.Sc.

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