Prabhleen Kaur
I'm Prabhleen Kaur, an AI Engineer with 4 years of experience building production AI applications, ML pipelines, and cloud-native platforms.
About
I’m Prabhleen Kaur, an AI Engineer with 4 years of experience building production AI applications, ML pipelines, and cloud-native platforms. I specialize in data preparation, model training, prompt engineering, evaluation, deployment, monitoring, retraining, drift detection, and AI governance to deliver measurable business value. I enjoy turning complex problems into reliable, scalable solutions and collaborating across teams to drive responsible AI adoption.
I blend Python, FastAPI, LangChain, TensorFlow, PyTorch, and cloud platforms (Azure, AWS) to ship enterprise-grade AI services. I’m passionate about operational excellence, model governance, and continuous improvement of AI systems for real-world impact.
- 3 years' experience
- Joined July 2026
Languages
- JavaneseAdvanced
Industry experience
- Software & Internet
- Professional Services
- Media & Entertainment
Work experience· 4 roles
Designed, deployed, and optimized production AI models across enterprise applications, enabling retraining workflows, model validation, prompt optimization, drift detection, and governance. Led end-to-end AI delivery with FastAPI, LangChain, containerization, and cloud-native deployment to scale production services.
Backend software engineer delivering Python-based services, REST APIs, and data platforms; built automated validation workflows and data loaders reducing manual testing by 40%, improving fault tolerance, reliability, and reporting. Contributed to Agile delivery, code reviews, documentation, and production support.
Built production-oriented AI applications using Python, TensorFlow, Scikit-Learn, NLP, feature engineering, model evaluation, REST APIs, and backend integration supporting intelligent software solutions. Integrated Kafka for streaming input data and developed processing pipelines to handle real-time data, gaining exposure to real-time distributed system architectures and event-driven workflows. Developed Python analytics pipelines and interactive dashboards visualizing model performance, operational KPIs, and machine learning evaluation results.
Education
Certifications and awards· 8
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