Highly accomplished MLOps Engineer with 9+ years of experience in designing, implementing, and optimizing machine learning pipelines for high-demand production environments. Proven track record of streamlining workflows, improving scalability, and fostering operational excellence through cutting-edge solutions. Skilled in DevOps methodologies, cloud computing (AWS, OCI, Azure), containerization (Docker, Kubernetes), and CI/CD practices.
Narendra Palavelli
@narendrapalavelli
Highly skilled Sr MLOps/DevOps Engineer with 9+ years of AWS, Azure, Docker, Kubernetes, CI/CD tools
Experience
Work history, roles, and key accomplishments
Lead MLOps Engineer
Configured ELK setup for Gen AI Labs with LLMs
Hyderabad, India 500019
+919030159106
[email protected]
Implemented automated machine learning pipelines using Kubernetes,
Docker, and Jenkins
Collaborated with data scientists to deploy machine learning models for
predictive maintenance, achieving 30% reduction in equipment
downtime
DevSecOps/SRE
Automated Infrastructure creation using Shepherd(IaC) on OCI for
application deployments
Successfully implemented automation strategies, reducing deployment
time by 40% through use of Kubernetes and Docker
Automated workflows and implemented CI/CD pipelines, contributing
to seamless and reliable software development life cycle
Successfully identified and mitigated vulnerabilities, contributing to
Sr ML/DevOps Engineer
Designed and implemented end-to-end automated MLOps pipelines
using Kubernetes, Docker, and Jenkins, reducing model deployment
time by 50%
Maintained and optimized cloud-based infrastructure on AWS,
implementing cost-effective solutions and enhancing performance
Collaborated with data scientists to deploy machine learning models for
predictive maintenance, achieving 30% reduction in equipment
down
Sr Software Engineer
Pioneered the development and support of the Data & Analytics
Framework (DAF).
Demonstrated expertise and hands-on programming experience in
Node JS, Java, CI/CD, and Jenkins, contributing to efficient and
scalable software development practices.
Systematically captured project specifications, testing methods, and
critical information for DAF project, ensuring comprehensive
documentation and know
Software Engineer
Collaborated closely with management, internal teams, and
development partners to provide updates on software application
design status and project progress
Managed end-to-end process of designing, developing, and
implementing Models and database structures, enhancing efficiency
and scalability of software
Demonstrated proficiency in providing high-quality code aligned with
best practices
Education
Degrees, certifications, and relevant coursework
Narendra hasn't added their education
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