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Jaynel User

@jayneluser

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I build Python-based RAG, computer-vision, and synthetic-data tools that expand ML training datasets.

India

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What I'm looking for

I'm motivated to grow into work involving large-scale model training, inference, and optimization, building on my Python, LLM/RAG, computer-vision, and synthetic-data experience.

At Ninestars Information Technologies, I lead image-processing and synthetic-image-generation work in Python and OpenCV, building tooling for zone mapping, difference identification, content analysis, and expanded ML training datasets. I also designed backend architecture and integrated frontend screens for a User Management System supporting the company’s Document Management System.

I previously built Python automated test suites for Android platform functionality at NXP Semiconductors. I bring an Integrated M.Tech in Software Engineering, a data-analytics research paper, and hands-on experience with RAG and transformer-based LLM application flows.

Experience

Work history, roles, and key accomplishments

Current

R&D Engineer

Current

Ninestars Information Technologies Pvt. Ltd.

Jan 2024 - Present (2 years 8 months)

Led a small engineering team on image-processing and synthetic-image-generation work in Python and OpenCV, including zone mapping, difference identification, and content analysis to build and expand training datasets for machine-learning models. Developed synthetic-data-generation tooling and mentored trainee engineers, ramping 10+ engineers to independent delivery.

Python OpenCV Image Processing Synthetic Data Generation Zone Mapping Discrepancy Identification content analysis Django React JavaScript HTML CSS PostgreSQL REST APIs backend architecture Team Leadership Mentorship

R&D Engineering Intern

NXP Semiconductors

Jan 2023 - Jan 2024 (1 year)

Built and ran automated test suites in Python to validate Android platform functionality. Collaborated with senior engineers to identify and fix bugs and suggest improvements in upcoming products.

Python Android Testing Automation Debugging Collaboration