I’m a machine learning engineer and technical lead with 8+ years of experience taking ML solutions from early ideas to real-world production, including work on real-time inference for sensor-heavy applications. I enjoy building robust ML pipelines end-to-end—covering data/model versioning, experimentation workflows, CI/CD, deployment, and performance tuning under real constraints.
I’m especially motivated by environments where hardware, software, and ML come together to solve practical problems quickly. Across my roles, I’ve led teams developing detection systems for real-time monitoring, strengthened model generalization through domain adaptation and better experimentation practices, and grown internal ML capabilities from scratch to a scalable, maintainable platform.
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