ASHUTOSH RAO

• Setup a team of 25 engineers, 1 manager for 3 products on malware detection applications, threat prevention.
• Implemented robust performance evaluation framework for all-round individual growth, nurturing innovation-first mindset by setting up a pipeline for innovation-to-productisation strategy within the CDSS organisation.

• Contributed to strategic planning initiatives that drove a 10% YoY increase in subscription revenue by identifying and developing new product capabilities and features.

• Driven ideation, incubation and prototyping for new product strategy for threat and data leak identification in the dark web.
• Ideation, implementation and roll out of Wildfire Droid - Google's ADK based AI Agent for Wildfire with usecases for LLM driven production incident analysis, product's customer metrics and analytics/trends.

• Implemented customer insights dashboards for sales/TME teams to drive strategic accounts and customer acquisition for CDSS Subs.

• Product Management engagement on customer outreach programs and feature requests.
• Competitive advantage planning on malware detection capabilities.
• Engineering leadership engagements on cloud application quarterly planning.
• Cross-product collaboration for enhanced subscription and licensing purchase strategies.
• Contributed to architectural migration from OSS to GCP cloud native technologies.
• Improvement of product's security posture towards data storage and access.
• Implementation of historic trend analytics of overall and clustering of malware threats per customer.
• Malware Research Contributions towards third-party intelligence data feeds incorporation into Wildfire.
• Innovation efforts towards LLM based malware detection co-pilot for customers.
• Malware signature generation - Product migration from container to microservices based architecture.
• End to end setup of FedRAMP cloud platforms for prevention products.
• Driving implementation of Unified observability platform adopted most of NetSec group

Bangalore

Jan 2020 -- Jan 2022
Bangalore

• Directed engineering teams managing an AI product portfolio with a revenue of $300M, including solutions for network anomaly detection, endpoint clustering, spoofing detection using behavioral models, and a Metabase-based Data Lake as a Service (DaaS).
• Oversaw end-to-end product go-live processes, encompassing tenant onboarding, CI/CD pipeline design and implementation on GitLab, and setup/maintenance of AWS multi-region cloud infrastructure for AI products.
• Led the deployment and management of an AWS cloud observability stack using Datadog to ensure system reliability and performance monitoring.
• Facilitated customer engagement to drive competitive advantage, converting early field trials (EFT) into paid customers; created the "Customer Space" traction dashboard to monitor onboardings/offboardings and scale metrics effectively.

• Led end-to-end Quality Engineering delivery for AI Network Analytics, encompassing release planning, test framework design and development, and automation to ensure robust and efficient processes.
• Designed test strategies for graphDB-based analytics on Elasticsearch; developed a Wireless LAN Controller Emulator to simulate telemetry data from Cisco eWLC; conducted ML model efficacy and efficiency benchmarking using the Gaia framework.

• Development and implementation of test strategies and plans for Nokia's LTE (4G) base station products, contributing to enhanced product testing efficiency.
• Creation and advancement of ROBOT-based Python test automation frameworks; design of test simulators utilizing Google Protobuf for data stream storage and analysis, as well as protocol-level simulators for RP1, ASN1, and XoH.

• Testing of ISSU and HA features.
• Testing and automation of routing protocols like OSPF, BGP, ISIS, EIGRP and L2 features - MPLS, L2 QoS.

XLRI School of Management Dec 2021 -- Dec 2022
PGP in Advanced Product Management Bangalore

Mumbai University Jun 2002 -- Jul 2006
Bachelors in Electronics and Telecommunication Mumbai