I'm a highly skilled and experienced MLOPS Engineer with a passion for building and deploying machine learning models. I have a strong background in full stack development, with a focus on frontend development using React JS, HTML5, CSS3, and StyledComponents. I'm also proficient in backend technologies such as Python, Golang, and NODEJS. I have a deep understanding of CI/CD and web server technology, and I'm experienced in deploying applications with production-grade configurations on cloud platforms such as AWS and Cloudfoundry.
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Frontend Development: React JS, HTML5, CSS3, StyledComponents
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Backend Development: Python, Golang, NODEJS
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CI/CD and Web Servers: Concourse, Jenkins, Kubernetes, shell scripting, terraform, cloud formation, makefile
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MLOPS: Ray, MLflow, Kubeflow, Kubernetes, DataBricks
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Observability: Jaeger, prometheus, thanos, grafana
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Machine Learning: LSTM for time series analysis, random forest for anomaly detection
- Master's Degree in Data Science, BITS Pilani
- Machine Learning Specialization Certification, Coursera
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Developed a system for RCA using traces of different microservices and representing them in the form of a DAG. Used LSTM for time series analysis and random forest for anomaly detection.
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Built a production-ready platform with end-to-end observability through distributed tracing using Jaeger, prometheus, thanos, and grafana.
- MLOPS Engineer, Comcast International, Feb 2017-Present
- Full Stack Developer, Syntel, July 2014 - Jan 2017