About me
With 5 years in software and ML engineering, I specialize in developing, maintaining and improving ML models that work in real-time, as well as making the cross-platform and web applications that run those models. I led the award-winning Intel AI PC Challenge and directed a cross-functional team using Agile to boost facial gesture detection by 10% in 4 months. I build end-to-end AI products, from research to the user, with rapid cloud and edge deployment.
My Expertise
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Data Science & ML
I design and deploy advanced machine learning systems using tools like PyTorch, TensorFlow, and CUDA. From predictive models to deep learning architectures such as GANs and Transformers, I help businesses turn data into actionable insights using scalable solutions on platforms like GCP and AWS.
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MLOps
I build end-to-end ML pipelines that automate training, testing, deployment, and monitoring. Leveraging tools like MLflow, Vertex AI, and AWS SageMaker, I ensure your models are reliable, reproducible, and production-ready at scale.
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Software Engineering
I develop scalable AI-powered applications using Flutter, React Native, and modern web frameworks. I specialize in integrating LLM APIs and tools like LangChain to quickly bring smart, user-friendly interfaces to life across platforms.
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Project Management
I lead cross-functional teams to deliver AI solutions on time and at scale. With experience from initiatives like the Intel AI PC Challenge and a Google PM certification, I bring clarity, structure, and measurable outcomes to every project.
