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VideoWith 16+ years of experience in software architecture and engineering, I have a strong background in building scalable mobile and web applications across domains such as e-commerce, medical, and IoT. My work has involved architecting data acquisition and processing solutions for medical IoT devices, where I leveraged technologies like Golang, MQTT, and Google Cloud Pub/Sub to handle large-scale, real-time data streams. I have hands-on experience training machine learning models, applying Python and basic NLP techniques for tasks such as data validation and annotation. Throughout my career, I have implemented CI/CD pipelines, enforced coding standards, and collaborated with cross-functional teams to ensure high-quality, well-labeled datasets and robust data workflows. My expertise spans cloud platforms (GCP, AWS, Azure), microservices, and both native and cross-platform development, making me adept at supporting data labeling and AI training data initiatives in complex, high-performance environments.
Remove the object using a prompt. If there are errors in polygon, point movement, fix this and resubmit for training purposes.
Advance diploma in Embedded Systems Design, Embedded Systems
Post Graduate Diploma in Embedded Systems Design, Embedded Systems
Software Architect
Senior Engineer
