Dec 2024 – Present · 1 yr 6 mos · On-site

• APIwiz is a centralized control plane for end-to-end API management, designed to simplify API creation, governance, and monetization. With its low-code platform, it streamlines the entire API lifecycle, from design and build to testing, securing, and monitoring. APIwiz empowers enterprises to align APIs with business objectives and innovation.
• Key Contributions:
• · Led the backend team, defined KPIs, managed hiring, and mentored engineers, aligning individual growth with organizational goals and improving sprint velocity by 35%.
• · Owned the API Builder module, driving roadmap, architecture, and delivery for this core DAG (Directed Acyclic Graph)-based workflow orchestration platform, adopted by multiple enterprise clients for testing, monitoring, mocking, and production workflows.
• · Optimized API Builder agent performance, reducing average latency from 11s to 1s (90% decrease) and increasing throughput from 85 TPS to 785 TPS (9× gain) by adopting Java 21 virtual threads, offloading logging to a separate microservice, and minimizing MongoDB calls. https://www.linkedin.com/pulse/scaling-dag-based-workflow-engine-journey-backend-optimization-r-2lzgc
• · Architected and delivered a low-code GraphQL federation layer, unifying multiple microservices under a single schema, enabling enterprises to go live with zero code changes and reducing new API deployment time from 5 days to 1.5 days (70% faster).
• · Collaborated cross-functionally with Product, Design, and Engineering teams to define milestones and achieved 95% on-time releases, while balancing hands-on development with leadership responsibilities.
• · Introduced structured engineering practices (daily standups, code reviews, KT sessions, and release management), halving release frequency, improving product quality, and promoting team-wide ownership and visibility.
• · Partnered with enterprise clients on onboarding and platform setup, tailoring API solutions to business needs, and contributing to new client acquisitions

Dec 2023 – Dec 2024 · 1 yr · On-site

• Key Contributions:
• · Engineered and launched API Builder, a no-code DAG-based workflow orchestration platform (Java, Spring Boot, MongoDB), enabling federated API creation and management, automation, and adopted by multiple enterprise clients.
• · Designed the API Builder’s execution to support parallel/sequential node execution, Kafka-driven execution, scheduled runs, and node-level logging, simplifying construction and maintenance of complex workflows, improving developer efficiency.
• · Introduced advanced workflow capabilities in API Builder, enabling seamless orchestration across APIs, databases, and custom logic nodes. Delivered features including assertions, branching, looping, data transformation (JSON, XML), OPA-based (Open Policy Agent) policy enforcement for robust authorization, ensuring secure operations, and JavaScript scripting node for custom logic, reducing integration effort.
• · Re-architected legacy microservices into a unified API Builder agent, cutting infrastructure usage by 66%, reducing deployment time by 61%, and enhancing scalability & maintainability.
• · Owned Azure AD SSO integration with custom-role support and led onboarding for enterprise clients by collaborating with client IT teams to configure and deploy SSO for secure, centralized authentication.
• · Collaborated with enterprise clients to validate real-world use cases and gather feedback to deliver high-value features like API federation, GraphQL, and low-code data transformation, driving the conversion of enterprise clients and reducing onboarding time.

May 2022 – Dec 2023 · 1 yr 7 mos · On-site

• Key contributions:
• · As one of the early engineers at APIwiz, I played a key role in designing and building critical backend modules that laid the foundation for the platform’s growth.
• · Architected core integrations by building Azure and NGINX API Gateway connectors, allowing customers to configure, deploy, monitor, and trace proxies seamlessly. This capability directly supported the onboarding of enterprise clients.
• · Engineered a distributed rate-limiting system with Hazelcast and Java to enforce plan-based throttling and protect the platform against overload.
• · Optimized platform performance through DB query aggregation, refactoring code, and improving data models, reducing average API response time by 41% (from 7s to 4s).
• · Led technology migrations by upgrading the codebase from Java 8 to Java 11 and transitioning from SQLite to PostgreSQL, eliminating DB locking bottlenecks and enabling asynchronous DB query processing. This improvement increased throughput by 70% (from 500 TPS to 850 TPS) while enhancing security, maintainability, and framework compatibility.
• · Delivered enterprise-ready storage integrations by building a Google Cloud Storage (GCS) connector with Java + GCP SDK, supporting hybrid (cloud and on-prem) deployments, and meeting enterprise compliance standards.
• · Devised and developed Inspector, an API testing tool (Java, Spring Boot, MongoDB), tightly integrated into the platform with other modules. This module reduced per-sprint testing effort by 20% and accelerated the release.