Pranam Shetty
Open to work3 years experienceSoftware Engineer
Software Engineer specializing in Backend Development, Cloud, and DevOps.
Standing Rank
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Developer Badges
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Skills & Technologies
28 skillsWork Experience
Software Engineer
ResMed Technology India Pvt. Ltd.
- Evaluated Argo Rollouts for Kubernetes by testing canary deployments, rollback scenarios, and edge cases, documenting deployment best practices.
- Explored alternative traffic management solutions for Argo Rollouts, evaluating ingress controller compatibility and documenting technical recommendations.
- Improved Kubernetes platform reliability by supporting Karpenter upgrades, node pool configurations, taints/tolerations, and autoscaling validation across Amazon EKS.
- Enhanced shared Helm templates by adding configurable deployment options, improving workload flexibility and deployment consistency.
- Developed monitoring workflows for failed GitHub Actions pipelines, enabling faster detection and resolution of CI/CD failures.
Software Engineer
Trident Tech Lab
- Developed 20+ RESTful APIs using Java and Spring Boot for enterprise banking applications, owned API contracts end-to-end from design through production release and monitoring.
- Migrated core components of a monolithic banking platform to Spring Boot microservices, improving deployment flexibility and application scalability.
- Resolved 150+ production issues involving SQL, reports, file processing, and backend services while meeting SLA commitments.
- Optimized critical SQL queries, implemented robust transaction management and exception handling, and redesigned report generation pipelines cutting report execution time by 35%.
- Delivered 30+ platform enhancements and integrated Usetiful for user onboarding, collaborating across backend, product, and QA teams.
Projects
End-to-End MLOps Pipeline for Automated Model Training & Deployment
- Built an automated retraining pipeline that detects data drift, reruns model training, logs experiment metrics via MLflow, and promotes validated model versions to staging without manual intervention — reducing release cycle from days to hours.
AI-Powered Infrastructure Troubleshooting Assistant
- Developed an AI-powered assistant that analyzes Kubernetes events, logs, and deployment configurations to identify issues and generate troubleshooting recommendations using the Gemini API.
Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
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AI Collaboration Score
AI Collaboration Score Pending
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Role Compatibility Profile
Role Compatibility Analysis Pending
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Achievements
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About Details
Professional Bio
Software Engineer with expertise in Java, Spring Boot, and AWS. Experienced in microservices migration, Kubernetes orchestration, and CI/CD automation. Proven track record in optimizing SQL performance and enhancing platform reliability.
B.Tech in Mechatronics
Symbiosis Skills and Professional University ( - 2021)
M.E. in Cloud Computing
Manipal School of Information Sciences - Mahe University ( - 2026)