Backend Developer with expertise in Machine Learning (ML) infrastructure, specializing in the foundational phases of the ML lifecycle including data labeling, model training, and ML pipeline development. Extensive experience building scalable data labeling workflows and training infrastructure for search algorithms, fraud detection, and recommendation systems, collaborating closely with data scientists to optimize model development processes. Proficient in designing automated data pipelines with Apache Airflow and AWS, developing robust data processing systems for ML training workflows, and implementing efficient model training orchestration. Skilled in managing cloud infrastructure on AWS, leveraging microservices architecture to support data-intensive ML operations with secure, scalable, and cost-effective solutions.

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