Gabriel prince
@gabrielprince
Machine learning engineer focused on efficient ML systems and automation.
What I'm looking for
I am a machine learning and software engineer with hands-on experience building production-ready tooling, automation scripts, and ML-backed applications. I have contributed to enterprise network management (OmniVista 8770), implemented automation for network provisioning, and developed cross-platform applications using Flutter and Firebase.
My research and projects blend NLP, computer vision, and systems engineering — for example, I designed a lecture summarization pipeline that cut manual note creation time by 80% and delivered >90% aligned summaries, and built a low-latency PDF chatbot with OCR and CI/CD.
I publish academic work in IoT and health monitoring, and I bring practical experience in C++, Python, PyTorch, OpenCV, and cloud/devops workflows to roles that value performance optimization, end-to-end ML systems, and reliable automation.
Experience
Work history, roles, and key accomplishments
Executed network operations and infrastructure automation including ALE switch provisioning and virtualization maintenance, and developed shell-based IP tracking scripts and configuration templates to reduce manual provisioning errors and automate reporting.
Maintained OmniVista 8770 modules in C++, resolved a critical performance issue and optimized backup workflow to cut device backup time from 40 to 6 minutes, and performed integration and regression testing across releases.
App Developer Intern
Lead Integrated Business Services
Sep 2022 - Nov 2022 (2 months)
Designed and developed a prototype invoice billing system and built a Flutter/Firebase mobile app for real-time invoice generation, customer management, and live billing updates.
Education
Degrees, certifications, and relevant coursework
Sri Sivasubramaniya Nadar College of Engineering
Master of Engineering, Computer Science and Engineering
2023 - 2025
Grade: 8.53
Completed Master of Engineering in Computer Science and Engineering with a CGPA of 8.53, focusing on machine learning and video/NLP research.
Government College of Engineering, Nagercoil
Bachelor of Technology, Information Technology
2017 - 2021
Grade: 7.42
Completed Bachelor of Technology in Information Technology with a CGPA of 7.42, covering software development and data structures.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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