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
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 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
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
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
Lead MLOps Engineer
Configured ELK setup for Gen AI Labs with LLMs
Hyderabad, India 500019
+919030159106
narendra.palavelli@gmail.com
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
Education
Degrees, certifications, and relevant coursework
Narendra hasn't added their education
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