AI / ML Engineer & Cloud Architect
AI/ML Engineer with experience delivering production-ready AI solutions across
enterprise
systems and Specialized in Python-based ML development, improving model performance through robust
data
preprocessing and feature selection.
Strong foundation in backend engineering, databases, and cloud-ready system design, combined with a
Quality Analysis driven mindset to ensure high reliability and scalability of AI systems.
Experience
I have development of predictive risk scoring systems and customer intelligence platforms that help identify risks early and make informed, data-driven decisions. I have orchestrated (planned, coordinated, and managed) the end-to-end integration of AI and machine learning models to, ensuring smooth interaction between data sources, models, and enterprise systems. From a testing and quality perspective, I focus on validating accuracy, reliability, and performance of AI-driven systems. I apply structured manual and automation testing approaches to ensure models and workflows behave correctly across real-world scenarios. I have strong experience in validating complex ETL pipelines, where large volumes of data flow This includes checking data completeness, transformation accuracy, reconciliation, and performance under high data loads. In addition, I work with prompt engineering, where I design and refine prompts that allow AI models to generate consistent, accurate, and context-aware outputs, improving decision support and automation effectiveness.
Bachelor of Engineering (Electronics & Telecommunication)
Solapur University, Maharashtra