Manish Kumar
AI Lead at BASF
Ludwigshafen am Rhein, Rhineland-Palatinate, Germany
Summary
👤
Senior🎓
Top SchoolManish Kumar is a Principal Data Scientist with nine years of experience building and deploying AI solutions across Chemicals, Pharma, Healthcare, and Retail, currently leading AI efforts at BASF in Ludwigshafen. He blends classical ML, time series forecasting, deep learning and AutoML with production-grade GenAI and OCR pipelines—recently delivering a multilingual purchase order extraction service deployed via FastAPI and Azure. His background spans consulting and enterprise software roles at KPMG, Tech Mahindra and Accenture, giving him strong end-to-end delivery instincts and stakeholder-facing product sense. Holding advanced studies in Cognitive Science and a PhD trajectory in Artificial Intelligence, he brings research-led rigor to practical engineering problems. Outside work he pursues macro and nature photography and follows Cricket and Formula 1, reflecting a detail-oriented mindset and a taste for high-speed, strategic thinking.
9 years of coding experience
12 years of employment as a software developer
Higher Secondary Computer Science, Higher Secondary Computer Science at Delhi Public SchoolBachelor's degree Computer Science, Bachelor's degree Computer Science at Savitribai Phule Pune UniversityMaster's degree Cognitive Science, Master's degree Cognitive Science at Universität OsnabrückPhD Artificial Intelligence, PhD Artificial Intelligence at Technische Universität Clausthal
English, German, Hindi
Github Skills (69)
regression10
model-compression10
resnet10
mamba10
preprocessing10
classification10
ssm10
nas10
r9
machine-learning-algorithms9
regression-models9
neural-architecture-search9
nlp-machine-learning9
hyperparameter-tuning9
lda9
Programming languages (5)
Github contributions (5)
mkumar73/neural-nets
Apr 2018 - Oct 2018
Contributions:176 commits, 150 pushes, 1 branch in 6 months
mkumar73/time-series
Aug 2018 - Oct 2019
Time series forecasting experiments using machine learning, deep learning and statistical methods.
Contributions:172 commits, 4 PRs, 153 pushes in 1 year 2 months
deep-learningmachine-learningtime-series-forecasting
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