Saqib Khan
Data Engineer
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolSaqib Khan is a data engineer based in Munich with 8 years of experience building scalable data and ML platforms across cloud and edge environments. He has driven production deployments at companies from Cruise to Siemens Advanta and startups, specializing in streaming and batch pipelines (GCP Dataflow, Dataproc, Spark), graph transformations (MongoDB→Neo4j/Neptune), and real-time inference on both cloud (SageMaker, AI Platform) and on-prem/NVIDIA devices. His background blends research-grade deep learning (ICDAR‑level document analysis, federated inference engines) with hands-on infrastructure automation (Terraform, Kafka, Kinesis, EKS/ECS), enabling teams to move models from prototype to cost‑efficient production. Notably, he translated a monolithic MongoDB production store into a graph-backed recommendation system that materially increased product insight and commercial value. Saqib pairs a Master’s in Data Engineering from TUM with a practical engineer’s instinct for optimizing pipelines and model serving in heterogeneous deployments.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at National University of Science and TechnologyMaster's degree, Data Engineering & Analytics, Master's degree, Data Engineering & Analytics at Technical University of Munich
English
Github Skills (24)
siggraph6
rgb5
pose5
computer-graphics4
health3
pose-estimation3
computer-vision3
pytorch3
duplicate3
machine-learning2
python2
backend2
spring-boot2
spring1
analytics1
Programming languages (4)
Github contributions (5)
saqib22/Distributed_Deep_Learning_Inference
Jul 2021 - Sep 2021
Contributions:4 commits, 23 pushes in 1 month
saqib22/Simulated_Virtual_Currency_Trading_App
Jan 2020 - Aug 2021
Contributions:2 pushes in 1 year 7 months
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