priyanshu User

I’m an AI/ML Engineer with hands-on experience building scalable machine learning and analytics systems across GenAI workflows, NLP, computer vision, and enterprise data integration.

In my recent role as a Junior Data Scientist, I designed API-driven workflow integrations and enterprise data pipelines, improving operational efficiency by 20–35%. I also collaborated with cross-functional teams to translate analytics and automation requirements into scalable workflow solutions, reducing manual reporting overhead by ~30%.

Beyond that, I built data-driven operational insight frameworks that accelerated decision-making cycles by nearly 25% through structured KPI analysis and automated reporting. Earlier, as an IT & Networking Engineering Intern, I supported lab-to-IT infrastructure integration and monitoring workflows, contributing to ~40% improvement in data accuracy and reporting consistency.

My projects reflect my focus on production-minded AI pipelines: a transformer-powered customer experience analytics platform (cutting manual review analysis effort by ~35%) and a multimodal incident monitoring system using real-time CV + event-stream processing (improving alert identification efficiency by ~30%). I bring MLOps-aware engineering skills—Docker, CI/CD, and cloud-native tooling—to turn models into reliable, measurable systems.