I am a Core Java Specialist and Backend Developer with over 11 years of experience, primarily focused on OTT and Surveillance Technologies. I am passionate about Agile methodologies and AI, continuously upskilling myself in these areas to stay at the forefront of technology. My expertise lies in Core Java, Agile and Scrum practices, and I have hands-on experience with tools like JUnit, Jenkins, Bash scripting, Spring AOP, and AspectJ.
Throughout my career, I have worked extensively in backend development, leading projects and mentoring junior developers. I have contributed significantly to performance optimization and alerting frameworks, particularly in trade surveillance systems at NASDAQ. I am comfortable working in Agile-compliant environments and have experience integrating AI-assisted tools such as GitHub Copilot to enhance development efficiency.
I am proficient in multiple programming languages including Java, Python, and C++, and have foundational knowledge in Docker, Kubernetes, and Spring Boot. I hold certifications in Generative AI, ChatGPT prompting, and AWS cloud technologies, which complement my technical skill set.
I am fluent in English and Hindi, with basic proficiency in French and native proficiency in Kannada. I have developed personal projects such as an automated job search tool using Python and AI APIs, and I maintain a personal blog and portfolio showcasing my work.
Currently based in Paris, France, I am actively seeking new opportunities that allow me to leverage my technical expertise in both hands-on development and strategic leadership roles. I am open to remote, hybrid, or on-site positions, with a preference for roles located in France.
Led development of Spring AspectJ + Jackson framework for structured alerting; boosted performance and cut dev effort by 15%. Supported SMARTS migration and mentored junior developers, adopting AI assisted environment using GitHub Copilot.
Delivered 500+ subscription migrations through 30+ backend investigations. Upgraded APIs to Java 11 from 7. Implemented Fav data stripping to reduce dev efforts. Mentored new hires and cross-collaborated for continuous delivery.
Developed Java alerts for SMARTS migration; deployed 350+ subscriptions across APAC, EMEA, and NSAC using Agile practices. Built XML-based Java parameter migration tool with Jenkins integration used by all subscriptions migration from alice to java in deployment. Automated alert data visualization and configured Jenkins plugins for build failure analysis.
Developed startup screen UI for Set Top Box with VOD and live events. Debugged customer issues; mentored junior developers in agile way.
Delivered Viasat Ukraine Zapper project; onsite support and automation. Built EPG features for Set Top Box domain; worked on MPEG DASH, DRM, JavaScript tech. Mentored juniors; conducted code reviews and HLD for user stories.
Created Java tool for multilingual UI string translation used across projects.
Bachelor of Technology in Computer Science
9.24 GPA, 9th rank. Final project on image enhancement using Hadoop MapReduce.
Pre-University Science Stream
Scored 94%.
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