Zahid Nabi
Python Engineer QRisk at LSEG (London Stock Exchange Group)
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolZahid Nabi is a Python-focused data engineer and hybrid ML engineer with 10+ years building high-throughput batch and streaming systems for fraud and abuse detection across financial and product domains. He designs and operates scalable pipelines on GCP and AWS (Dataflow/Beam, BigQuery, Spark, Dask/FastAPI) and has a track record of reducing false positives, cutting processing time, and saving hundreds of man-hours through automation and reusable libraries. At LSEG he processes millions of records daily, delivers experiment-driven insights that improved forecasts and engagement, and built distributed data tooling that boosted scalability by ~40%. He pairs strong product thinking and stakeholder-facing dashboards (Tableau/Looker) with rigorous observability, SLI/SLO practices and secure-by-default systems. Known for translating complex abuse cases into practical detection features, he also mentors teams on data quality and self-serve platforms. Based in London, he combines hands-on engineering with a curiosity for emerging AI techniques and a side passion for burgers and espresso.
10 years of coding experience
5 years of employment as a software developer
Secondary School Cirtificate & Higher Secondary School Cirtificate, General Studies, A, Secondary School Cirtificate & Higher Secondary School Cirtificate, General Studies, A at Varendra College, Rajshahi Model High School & CollegeBachelor of Science - BS, Computer Science & Engineering, First Class, Bachelor of Science - BS, Computer Science & Engineering, First Class at Varendra University (VU), Rajshahi
English, baangla
Stackoverflow
159reputation
32kreached
1answer
11questions
Github Skills (35)
github10
shieldsio10
stellar9
forecast8
forecasts8
r8
messaging7
forecasting-models7
relation7
forecasting7
celery7
rabbitmq7
python7
aws-apigateway6
amazon-dynamodb6
Programming languages (5)
Github contributions (5)
uannabi/Resume
Feb 2018 - Jan 2022
Contributions:66 pushes, 1 branch in 3 years 11 months
uannabi/SparkDataFrame
Aug 2020 - Aug 2020
Contributions:13 commits, 10 pushes in 4 days
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