• Designed and implemented a scalable, config-driven airline integration framework that reduced engineering effort to onboard airlines from several months to just a few weeks

• Automated dev E2E testing using claude and custom MCP servers

• Led the team in my manager’s absence, coordinating engineering efforts, streamlining workflows, and initiating weekly cross-functional meetings to enhance communication between QA, TOPs, and Engineering.

• Improved system stability and alerting and removing manual triaging by implementing structured monitoring rules across all Air APIs, enabling clear visibility into 4xx/5xx failures.

• Built dashboards to track JIRA issues and ownership, streamlining accountability and accelerating issue resolution.

• Reviewed all team PRs to uphold code quality and maintain consistency across the codebase.

• Delivered multiple high-priority customer projects end-to-end — from requirement gathering in the unfamiliar travel domain to production deployment.

• Helped scale the team by conducting coding interviews and mentoring new engineers

• Built a smart canary system to convert the service-centric config selection to an endpoint-centric one to reduce consumption traffic by around 80%

• Reduced the system latency from 20 sec to 100 ms to decrease the rollout time of configs by implementing data pipelines

• Implemented detectors to catch if the exception counts or latency is above a threshold

• Built real-time algorithms for our product, Network Insight, to decrease the latency from 30 mins to ~3 mins

• Developed a test framework by imitating Kafka and Samza in-memory; saving 1 hour weekly of developer’s time

• Implemented rules in our product to solve network troubleshooting use cases ranging from configuration mismatch to reachability ones

• Built real-time alerts in the system by registering webhook and processing real-time information from multiple data sources

• Worked on various critical customer escalations such as reducing CPU usage by 30% in scaled setups

• Assisted in reducing the build time of our product, by 25%, by building jars and creating SKUs parallelly