Jay Paudyal
New Delhi, Delhi,India
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Jay Paudyal is a highly experienced Senior Software Engineer, technical writer, and open-source contributor with a strong focus on Python, Django, and scalable web architectures. He is passionate about building robust and efficient software solutions, often sharing his knowledge through his popular technical blog and contributions to the developer community. Jay has a track record of leading development teams, designing complex systems, and mentoring engineers. His expertise spans backend development, API design, cloud infrastructure, and DevOps practices.
Professional Summary
Jay Paudyal's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Prolific Technical Blogger and Educator
Maintains an influential personal blog (jaypaudyal.com) and Medium presence, sharing in-depth tutorials, insights, and best practices on Python, Django, software architecture, and career development, reaching a wide audience of developers.
Open Source Contributor
Actively contributes to various open-source projects and promotes the use of open-source technologies. His work often helps improve tools and libraries used by the wider Python and Django communities.
Experienced Engineering Leader
Demonstrated ability to lead and mentor engineering teams, driving projects to successful completion and fostering a culture of technical excellence and continuous learning.
Author of "Django Test Driven Development Cookbook"
Authored a practical guide on Test-Driven Development (TDD) with Django, published by Packt, aimed at helping developers build more reliable and maintainable applications.
Educational Background
Master of Business Administration - MBA, Marketing
Sikkim Manipal University
High School, General
Sarvodaya Vidyalaya - Year 1992
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Company Overview
EnDetectEnDetect AI specializes in developing advanced AI-powered video analytics solutions. Their technology focuses on real-time monitoring, object detection, facial recognition, and behavioral analysis to enhance security, safety, and operational efficiency for various industries including retail, smart cities, and manufacturing. Users benefit from proactive threat detection, optimized resource allocation, and data-driven insights from video feeds.
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