Mohammed Rijwan
Senior Engineer(MLOps) at dunnhumby
Gurugram, Haryana, India
Summary
👤
Senior🎓
Top SchoolMohammed Rijwan is a Senior MLOps engineer with 8 years’ experience building and operating large-scale ML and data pipelines across retail and telecom domains, currently driving production ML reliability at dunnhumby. He has hands-on expertise in Azure Databricks, Kubernetes, CI/CD, model and data-drift monitoring, and has managed 100+ production models for a Fortune 500 client while optimizing for cost and latency. A practical engineer who learned by doing—from packaging models with ONNX to achieving 350 TPS with sub-150ms latency—he combines deep technical delivery with platform ownership. Outside core projects he trains developers and shares knowledge as a part-time tech trainer and YouTuber ("Think with Riz"), reflecting his commitment to continual learning and public speaking. Based in Gurugram, he pairs an NIT Jalandhar ECE background with a knack for rapid problem-solving and an almost legendary ability to find answers online.
8 years of coding experience
6 years of employment as a software developer
Kendriya Vidyalaya SangathanB.Tech, ECE; Electronics and communication Engineering, B.Tech, ECE; Electronics and communication Engineering at Dr. B R Ambedkar National Institute of Technology, Jalandhar ( PUNJAB)
English, Hindi
Stackoverflow
345reputation
109kreached
9answers
11questions
Github Skills (88)
parser9
flask8
python8
pdfminer8
machine-learning8
pdf8
feature-store8
data-quality8
xgboost7
kubeflow7
mlops7
k8s7
big-data7
data-science7
artificial-intelligence7
Programming languages (7)
Github contributions (5)
mdrijwan123/Data-Science-Business-UseCases-with-Python
Jun 2019 - Feb 2022
Business Use Cases of Data Science using Python
Contributions:1 PR, 7 pushes, 1 branch in 2 years 8 months
casesdata-analysispythonscienceuse-cases
mdrijwan123/Deployement-of-NLP-Model
Nov 2019 - Jan 2022
Deployment of NLP Sensitive Analysis use Case with the help of flask and docker.
Contributions:15 commits, 5 PRs, 14 pushes in 2 years 2 months
dockerflasknatural-language-processing
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