Teng Qiu - AI LLM Development Manager at ABC Networks http://www.abcn.net/

Teng Qiu

AI LLM Development Manager at ABC Networks http://www.abcn.net/

Berlin, Germany

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Summary

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Senior

🎓

Top School

Teng Qiu is an AI/LLM development manager and seasoned engineering leader with 11+ years building large-scale data, ML and fintech systems across Europe and China. Currently leading ML engineering at Accenture’s Center for Advanced AI in Berlin, he pairs hands-on contributions to Apache Spark (notably SQL and Parquet improvements) with product and team delivery across fintech, data mesh and LLM solutions. His background spans network security and low-level systems (Bro IDS, PF_RING) through big data stacks (Hadoop, Spark, Hive, Parquet) to production ML, giving him a rare full-stack perspective from kernel to model. Teng has led global teams at Delivery Hero and KPMG, driven DWH migrations and built real-time trading platforms that blend NLP, CEP and streaming analytics. A longtime web and security tinkerer (maintaining a homepage since 1998) and early Spark contributor, he combines pragmatic engineering, security-conscious architecture and product-driven AI deployment.

11 years of coding experience

12 years of employment as a software developer

Bachelor Computer Science, Bachelor Computer Science at Zhengzhou University

Master Computer Science, Master Computer Science at Technische Universität Berlin

any programming language, prompt language

Stackoverflow

Stats

417reputation

90kreached

16answers

1question

Github Skills (16)

parquet10

javas10

big-data10

sql10

java10

scala10

elliptic-curve6

hive6

apache-spark6

pyspark6

javascript6

hadoop6

python6

amazon-s36

cryptography6

Programming languages (5)

JavaScalaJavaScriptGoPython

Github contributions (5)

apache/spark

Dec 2015 - Dec 2015

Apache Spark - A unified analytics engine for large-scale data processing

Role in this project:

Back-end Developer

Contributions:1 commit, 1 PR, 8 comments in 1 day

Contributions summary:Teng primarily contributed to the SQL and Parquet functionalities within the Apache Spark project. They added a parser for SQL SUBSTR() and SUBSTRING() functions and addressed issues related to timestamp handling in `ColumnBuilder`. Further contributions involved filtering hidden files in Parquet and enabling users to configure compression codecs for writing Parquet files, while also allowing `sqlContext.parquetFile` to accept a single file as a parameter. These commits demonstrate a focus on improving SQL query capabilities and Parquet file handling.

analyticspythondata-processingsqlapache

zalando-incubator/spark

Sep 2015 - Aug 2016

Contributions:42 pushes, 5 branches in 11 months

apachebig-datasparkscalaapache-spark

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