Deepak Naik
Chief Security & Sustainability Officer at Digite, Inc.
Mumbai, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolDeepak Naik is a Chief Security & Sustainability Officer with over a decade of hands-on experience building secure, cost-conscious cloud and DevSecOps platforms from the ground up. At Digite he led the company to SOC 2, ISO 27001 and GDPR compliance while architecting Zero Trust Network Access and a shifted-left Secure SDLC that strengthened development velocity and resilience. He combines platform engineering chops—Kubernetes, AKS, AWS/Azure provisioning, ELK—and SRE transformation experience with a pragmatic focus on cloud cost optimization. A contributor to the popular Rasa open-source conversational framework, he has improved channel integrations and robustness in real-world chatbot systems. Based in Mumbai, he pairs technical rigor with empathy and cross-functional leadership to make security an enabler rather than a bottleneck.
10 years of coding experience
8 years of employment as a software developer
B.Sc. Information Technology, B.Sc. Information Technology at Mumbai UniversitySSC Basic, SSC Basic at Paranjape Vidyalaya
English, Hindi, Marathi
Stackoverflow
733reputation
381kreached
18answers
1question
apache
top-5%
xampp
top-5%
Github Skills (21)
python10
dialog10
rasa10
natural-language-processing10
dialogflow10
dialogs10
chatbot10
apache9
xampp9
telegram9
apidoc8
api8
unit-testing8
compression6
account-management6
Programming languages (4)
Github contributions (5)
RasaHQ/rasa
Oct 2018 - Aug 2019
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits, 4 PRs, 5 comments in 10 months
Contributions summary:Deepak contributed to the Rasa framework by correcting and updating code related to the handling of user input and channels. They fixed issues in the Telegram channel implementation, ensuring proper user ID handling and webhook setup. The user's contributions also involved refactoring code to handle sender IDs as strings consistently across the system, alongside merging and integrating changes from the master branch. These modifications improved the functionality and robustness of the Rasa platform.
nlupythonbotspeech-recognitionbotkit
deenaik/github-slideshow
Apr 2018 - Feb 2021
A robot powered training repository :robot:
Contributions:6 PRs, 3 pushes, 5 branches in 2 years 10 months
roboticsrosrobottraining
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