Backend Developer with expertise in AI and Machine Learning infrastructure, specializing in the foundational systems that power modern AI — from data curation and model training to LLM pipelines. Extensive experience building scalable data workflows and training infrastructure for large language models, semantic search, fraud detection, and recommendation systems, collaborating closely with ML engineers and data scientists to accelerate model development cycles. Proficient in designing automated ML pipelines with Apache Airflow and AWS, developing data processing systems for both classical and generative AI workloads, and implementing efficient model training and inference orchestration. Skilled in managing cloud infrastructure on AWS, leveraging microservices architecture to support data-intensive AI operations with secure, scalable, and cost-effective solutions — including model serving, evaluation frameworks, and Agentic AI.

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Web Architecture:

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ML & Data Engineering:

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