Systems Engineer with experience designing and deploying scalable, production-grade AI across logistics, manufacturing, and smart IT. Specialized in computer vision, distributed systems, cloud-native architectures, hands…
Systems Engineer with experience designing and deploying scalable, production-grade AI across logistics, manufacturing, and smart IT. Specialized in computer vision, distributed systems, cloud-native architectures, hands-on experience with microservices-based platforms and AI-powered systems. Strong foundation in edge AI, IoT-integrated systems, and real-world ML deployment.
Led a cross-functional agile team (4 engineers) in designing and deploying a drone-assisted warehouse management platform (DaisTeck), Architected cloud-based (GCP) distributed microservices system enabling scalable modular feature deployment, Developed CV pipelines for UAV-based object detection, 1D/2D barcode scanning using DL, Achieved 96% barcode detection accuracy, reducing manual safety risks and operational labour costs
Led a cross-functional agile team (4 engineers) in designing and deploying a drone-assisted warehouse management platform (DaisTeck)
Architected cloud-based (GCP) distributed microservices system enabling scalable modular feature deployment
Developed CV pipelines for UAV-based object detection, 1D/2D barcode scanning using DL
Achieved 96% barcode detection accuracy, reducing manual safety risks and operational labour costs
Tech: Python, OpenCV, PyTorch, GCP, Docker, Microservices
Supported in deployment, configuration and maintenance of embedded controllers for warehouse HVAC infrastructure.
Improved operational workflow efficiency by {~70%}, resulting from enhanced data analysis workflows in Mantrac's invoicing system, Developed an Android application (JAVA) for all vendors with RBAC categorized based on the workflow increasing ease of use
Built predictive machine learning models to optimize steel composition selection for ArcelorMittal's hot rolling process, improving material efficiency, Designed and deployed interactive dashboards using Plotly and Streamlit for an Accenture client, enabling real-time KPI monitoring, Developed NLP-based sentiment classification system for KPMG to automate taxation document categorization, Implemented and deployed LSTM models in C++ for embedded AI applications
Improved operational workflow efficiency by {~70%}, resulting from enhanced data analysis workflows in Mantrac's invoicing system.
Developed an Android application (JAVA) for all vendors with RBAC categorized based on the workflow increasing ease of use.
Tech: Java, Pandas, Streamlit
Built predictive machine learning models to optimize steel composition selection for ArcelorMittal's hot rolling process, improving material efficiency
Designed and deployed interactive dashboards using Plotly and Streamlit for an Accenture client, enabling real-time KPI monitoring
Developed NLP-based sentiment classification system for KPMG to automate taxation document categorization
Implemented and deployed LSTM models in C++ for embedded Al applications
Supported in deployment, configuration and maintenance of embedded controllers for warehouse HVAC infrastructure
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