Joydeb Mondal
Principal Applied Scientist - Oracle Cloud (Healthcare & GenAI)
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolJoydeb Mondal is a Principal Applied Scientist and AI Architect at Oracle Cloud, specializing in Healthcare and GenAI with a decade of experience building scalable AI services and cloud-native solutions. He progressed through research and applied roles at Nouveau Labs and Oracle, blending deep research instincts with production-grade system design to operationalize ML in regulated domains. Known for translating complex healthcare data and compliance needs into robust AI architectures, he drives platform-level features that enable secure, scalable model deployment. His academic foundation includes an MTech in Computer Science from IIT (ISM) Dhanbad and a BTech from West Bengal University of Technology, underpinning a strong theoretical-to-practical trajectory. Based in Bengaluru, he balances research rigor and product delivery, often bridging cross-functional teams to accelerate GenAI adoption in health tech. An understated strength is his consistent internal advancement at Oracle, signaling both technical depth and leadership in large enterprise environments.
10 years of coding experience
8 years of employment as a software developer
Master of Technology - MTech Computer Science, Master of Technology - MTech Computer Science at Indian Institute of Technology (Indian School of Mines), DhanbadBachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at West Bengal University of Technology, Kolkata
English
Github Skills (69)
entity-extraction10
language-model10
python10
deep-learning10
cpp10
intent-classification10
topic-modeling10
tensorflow10
machine-learning10
machine-translation9
ml9
neural-network9
audio9
nlp9
machine-learning-models9
Programming languages (4)
Github contributions (5)
joydeb28/joydeb28.github.io
Sep 2018 - May 2026
Contributions:1 push in 7 years 9 months
joydeb28/NLP-Notebooks
Nov 2015 - May 2021
Natural Language Processing
Contributions:133 commits, 3 PRs, 75 pushes in 5 years 7 months
natural-language-processingnlplanguage-modelintent-classificationintent-detection
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