Vaibhavi Sawant
Architect @Fractal
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WORK HISTORY
Architect @Fractal
Mumbai, IN
Led a team of 3 individuals in the development, and implementation of generic MLOps components aimed at enhancing the efficiency and scalability of machine learning projects across multiple domains- Spearheaded the productionization of MLOps components, including monitoring, deployment, and serving, to ensure seamless integration within the organization- Implemented standardized processes and workflows for the development and deployment of MLOps components, leveraging GitHub for version control, collaboration, and code review- Designed and documented comprehensive guidelines and best practices for the usage and integration of MLOps components, fostering a culture of knowledge sharing and collaboration within the team- Collaborated closely with cross-functional teams including data scientists, software engineers, and product managers to understand project requirements and deliver scalable MLOps solutions- Continuously monitored and optimized the performance of MLOps components, driving continuous improvement initiatives based on feedback from project teams and stakeholders.
EDUCATION
University of Mumbai
Master of Computer Applications - MCA, Information Technology
Cosmopolitan Education Society Andheri (W)
Valia College, B.Sc (IT)
SKILLS
ABOUT VAIBHAVI SAWANT
Experienced professional with a diverse background spanning 11+ years in business consulting and big data engineering. Equipped with expertise in designing and implementing data solutions across various environments including on-premises, Azure HDI, and Google Cloud Platform (GCP) with a strong focus on Databricks and DataProc. Proficient in DevOps practices and recently transitioned into MLOps, specializing in components such as Monitoring, Experiments, Deployment, Serving using Databricks MLflow. Possesses foundational knowledge in Google Cloud\'s Vertex AI.
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