Om Gosavi

API Platform Modernization and Migrations

• Led the end-to-end migration of APIs from Apigee Edge to Apigee X, designing CI/CD-based automation pipelines in Bitbucket to streamline deployments and reduce manual effort by approximately 60%.
• Architected and implemented automated validation, proxy packaging, linting, and deployment workflows for Apigee X using Python, Shell scripting, and DevOps practices.
• Improved API platform reliability by building error-proof, repeatable CI/CD pipelines, integrating quality checks, and ensuring safe rollouts across environments.

IBM DataPower to Kong Konnect Migration

• Developed multiple ML models and automation scripts using Python, TensorFlow, and scikit-learn to improve internal tooling efficiency and operational optimization.
• Designed and built an end-to-end automation tool for IBM DataPower to Kong Konnect migration, which converts existing IBM service configurations into Kong-ready YAML files, reducing manual migration effort by over 70%.
• Migrating enterprise-grade IBM DataPower services to Kong Konnect, redesigning policies, flows, and routing to match legacy behavior, while improving performance and observability.
• Developed custom Kong plugins in Lua to replicate complex IBM DataPower functionalities—including authentication flows, SOAP/XML handling, transformation logic, and routing behavior.
• Engineered SOAP-to-REST transformations and routing rules inside Kong, enabling backward compatibility for legacy clients during the migration.
• Collaborated closely with product and architecture teams to define standards, reusable plugin patterns, and API governance models for the new Kong platform.

Kong & API Gateway Engineering

• Built and deployed custom Lua plugins for Kong Data Plane nodes running inside Kubernetes and Konnect hybrid architecture.
• Implemented dynamic request rewriting, SOAP parsing, transparent redirects, and error-handling plugins to support mission-critical backend systems.
• Designed automated workflows for Konnect configuration generation using Python and Excel-based metadata, enabling scalable onboarding of services.

Cloud, DevOps & Automation

• Automated infrastructure, deployments, and API onboarding using Python, Shell scripting, Docker, Kubernetes, and Bitbucket Pipelines.
• Contributed to building highly scalable API platforms on Google Cloud, leveraging Apigee X, GCP IAM, Cloud Run, and related services.
• Improved developer productivity by creating automation tools for service analysis, pattern extraction, and YAML configuration generation.

AI/ML & Engineering Excellence

• Developed multiple ML models and automation scripts using Python, TensorFlow, and scikit-learn for internal tooling and optimization.
• Earned Google Cloud Engineering, Google ML Engineer, and Certified Ethical Hacker certifications, demonstrating strong cross-domain expertise.