I’m an ML Developer who designs and builds production-grade AI systems, especially around Large Language Models, RAG pipelines, and fast, reliable inference. I’ve worked on knowledge assistant platforms that improve faithfulness, authorization latency, and end-user satisfaction, and I enjoy turning research ideas into scalable services used by real customers.
Beyond language models, I’ve led end-to-end machine learning projects for computer vision and anomaly detection—counting people in automated checkpoints, monitoring CCTV feeds for unusual behavior, and detecting anomalies in high-volume text logs. I’m comfortable across the stack (Python, cloud, deployment, and performance optimization) and I’m excited to take on new challenges with teams that value engineering quality and measurable outcomes.
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