Summary
Nilanjan Das is a data engineer and former data scientist with 8 years of experience building production ML pipelines and data platforms across automotive, retail, and advertising domains. Currently at Bosch he focuses on autonomous driving assistance systems using Kafka, Azure Kubernetes, FastAPI and MongoDB to recompute and serve data-driven features. He previously led development of an in-house dynamic data collection and budget-shifting tool for Amazon DSP, and has strong hands-on expertise in time-series modelling, TensorFlow, Airflow and cloud storage. A pragmatic prototyper and technical blogger based in Stuttgart, Nilanjan blends research-grade recommender system work from his master's thesis with practical automation and dashboarding experience for international clients. He often bridges product and engineering by turning exploratory analyses into MVPs that replace third-party tools and cut costs.
7 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Paderborn University
Bachelor’s Degree, Information Technology, A, Bachelor’s Degree, Information Technology, A at MCKV Institute of Engineering 116
English, Hindi, German