Deepak Moonat
Sr. Cloud AI Engineer at Google
Bengaluru, Karnataka, India
Summary
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Rockstar🎓
Top SchoolDeepak Moonat is a Sr. Cloud AI Engineer with nine years of experience building scalable ML and deep learning solutions, currently advancing AI infrastructure at Google from Bengaluru. He has a strong Python and cloud-first background, having led ML efforts across healthcare, forecasting, and document automation—designing transformer-based NER/RE for clinical trial matching and AutoML forecasting tools on AWS SageMaker. Deepak combines research-minded experimentation (probabilistic forecasting, custom Keras losses, SHAP interpretability) with production-grade deployment patterns using Lambda, Textract, and S3. He’s comfortable across the ML lifecycle: prototype to model interpretation to cloud-native deployment, and has mentored teams while leading projects end-to-end. A not-obvious strength is his cross-domain fluency—applying time-series, NLP, OCR and reinforcement learning techniques to practical business problems.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering Information Technology, Bachelor of Engineering Information Technology at Shri Govindram Seksaria Institute of Technology & Science, 23,Park Road, Indore
Stackoverflow
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Github Skills (45)
palm-api10
python10
langchain10
ocr10
pdf10
gcp10
llm10
google-cloud-run10
google10
google-cloud10
generative-ai10
vertex-ai10
gemini10
facebook-messenger-bot9
machine-learning9
Programming languages (2)
Github contributions (5)
dmoonat/sentiment-analysis
Jun 2018 - Jul 2021
Contributions:17 commits, 14 pushes, 1 branch in 3 years 2 months
dmoonat/python-docs-samples
Mar 2023 - Oct 2023
Code samples used on cloud.google.com
Contributions:58 pushes in 7 months
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