Application Engineer
Data Engineering • Automation • Machine Learning
Application Engineer specializing in enterprise data integration, workflow automation, and applied machine learning. Currently leading end-to-end implementation of Strada Exchange Platform for global clients across 10+ countries, managing data pipelines.
I'm an Application Engineer passionate about transforming data challenges into intelligent solutions. My expertise lies in building enterprise-scale data integrations, implementing ML-driven automation, and managing robust data pipelines that power critical business operations.
Currently at Strada, I lead end-to-end implementations of the Exchange Platform for global clients like Philip Morris International, Syensqo, and Sedgwick, deploying across 10+ countries.
My work spans the full spectrum of modern data engineering - from designing complex HRIS-to-Payroll data mappings to building ML models that achieve 96.2% accuracy in classification tasks. I'm driven by the challenge of managing robust data pipelines that power critical business operations.
B.Tech in Computer Science and Engineering
VNR VJIET
Hyderabad, India • 2020 - 2024
CGPA: 8.3/10
Enterprise-scale HRIS to Payroll data flows
Building production-ready ML systems
Power Automate & n8n implementations
Leading end-to-end data integration and implementation of Strada Exchange Platform for global clients including Philip Morris International, Syensqo, and Sedgwick. Deploying enterprise-scale solutions across 10+ countries with a focus on data integrity and system reliability.
Worked on data analytics projects using Adobe Analytical Workspace to uncover user behavior patterns and business insights. Focused on data processing, structuring, and visualization to improve reporting accuracy.
Conducted research on exoplanet detection using machine learning techniques. Main author of a research paper that combines CNN-LSTM hybrid models with synthetic oversampling to improve detection accuracy.
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