Rujhan Jain
Sr. AI ML Developer at Nupeak IT Services Pvt. Ltd.
Jaipur, Rajasthan, India
Summary
👤
Senior🎓
Top SchoolRujhan Jain is a Senior AI/ML Developer with 9 years of experience based in Jaipur, specializing in production-grade, applied AI systems that span agentic decision-making, computer vision, and generative models. At Nupeak IT Services he architects scalable real-time image segmentation and object detection solutions, builds transformer and diffusion-based generative pipelines, and embeds advanced analytics using SAS Viya and Python. He brings full-stack instincts to AI projects—evidenced by contributions to an SKF-Flask security UI and a context-aware chatbot API—bridging frontend UX and backend model logic. Rujhan mentors cross-functional teams to operationalize models, focusing on robustness, scalability, and business impact in high-stakes client environments. His background in hands-on transfer learning and dataset work (e.g., ChestX-ray8) informs pragmatic model tuning and deployment strategies. Pragmatic and curious, he blends statistical rigor with product-minded engineering to turn research ideas into reliable production systems.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Computer Applications, Artificial Intelligence and Data Science, Bachelor of Computer Applications, Artificial Intelligence and Data Science at Poornima University
Stackoverflow
1reputation
0reached
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Github Skills (13)
api10
python10
apidoc10
chatterbot10
flask-ask10
flask10
chatbot10
security10
angular9
javascript8
audit8
css8
auditing8
Programming languages (10)
Github contributions (5)
blabla1337/skf-flask
Apr 2018 - Mar 2019
Security Knowledge Framework (SKF) Python Flask / Angular project
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:9 commits, 12 PRs, 1 comment in 11 months
Contributions summary:Rujhan's commits indicate a focus on enhancing both the front-end and back-end aspects of the SKF-Flask project. They implemented features like adding an ASVS legend with color codes and adding color codes to the sprint summary, impacting the user interface and the presentation of security information. Code changes include modifications to HTML, CSS, and Python files, indicating their work spanned UI design and backend logic. Furthermore, the user developed a chatbot API with context management.
pythonsecurity-requirementsflasksecurity-knowledgeowasp-skf
Priya997/SKF-Chatbot
May 2018 - Jul 2019
This is a security Knowledge Framework chatbot which will answer your queries related to web vulnerabilities.
Contributions:54 commits, 1 PR, 49 pushes in 1 year 2 months
answerknowledgevulnerabilitiessecuritysecurity-knowledge
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