• Lead the design and development of IP Tag Service that fetches and tags resources on different clouds to help user create security policy.

• Collaborate with dev, QA and field engineers on making the services scalable and improving functionality based on feedback and requirements for Cloud IP Tag service.

• Utilized RabbitMQ for enhanced, reliable and asynchronous communication between microservices.

• Designed and implemented out-of-sync detection & comprehensive full-sync functionality across all the micro-services to ensure reliability & correctness of data between customer’s cloud environment & their firewall.

• Designed and implemented paginated API to enhance communication with other services for AI-Firewall support.

• Implemented unittest framework & added unit tests to improve the test coverage

• Prompt communication, root cause diagnosing and resolution of customer issues including CAP escalation for cloud integration plugins.

• Collaborated with cross functional teams in brainstorming critical design for tagging resources for AI-Firewall.

• Lead/Participate in system design discussions as well as proof-of-concepts for design feasibility.

· Worked on RF Channel planning of wireless networks for 802.11ax/ac/an access points deployed for Enterprise/Campus/Cloud customers

· Led design, development & delivery of the project to group 802.11ax capable radios and reserve RF channels to improve throughput & spectral efficiency in the network and better serve compatible and legacy clients

· Filed multiple patents (Research Topics: Seamless network upgrade; WiFi-6; Optimization in deployment of solution)

· Deployed stateless micro-services for facilitating delivery of optimized RF solutions via Kafka to Access Points

· Enabled Event Monitoring, Metric Tracking (Prometheus) and Monitoring Dashboards (Grafana) for micro-services

· Automated unit-testing workflow, code coverage and health check for python apps for code maintenance

· Conducted data analysis on 50+ large deployments and leveraged architectural expertise to enhance features

· Design, development & delivery of the project to group 802.11ax capable radios and reserve RF channels to improve throughput & spectral efficiency in the network and better serve compatible and legacy clients

· Implemented framework for feedback loop from Analytics AI Engine to micro-services using C, Python and GDB

· Designed and implemented a database abstraction layer for the AirMatch micro services which was database agnostic.

· Worked with the team on design discussion and implemented an updated Reliability

mechanism for airMatch to ensure delivery of algorithmic decisions to access points.

· Analyzed different types of databases/caching mechanisms (Cassandra, Redis, Hazelcast) for the AirMatch service.

· Worked on resolving critical customer issues and P0-blockers

· Developed multi-factor algorithm to prioritize order of devices for deployment of optimized solution

· Increased efficiency of automation software by 60% through modularizing and multithreading techniques.

• Developed new functionalities of the next generation access point for AirMatch feature team.

• Developed AirMatch Assistant in python to process data from controller and generate the optimized channel and power plan in Mobility Master

• Implemented the CLI for neighbor path loss data available in MongoDB using javascript