Responsible for all data science functions including data management and clean up, building and deploying models, and analytics pipeline. Focus on scalable and interpretable ML/AI stack. Lead development and launch of GenAI tool Nebula for Prosimo. https://prosimo.io/ai-suite-cloud-networking/

Lead team of data scientists to develop ML based cloud product to detect and root cause network issues. • Developed unsupervised and semi-supervised models to detect anomalies• Worked on time series data for root cause analysis • Subject Matter Expert (SME) for networks especially wireless networks• Designed and lead implementation of “Smart Dashboard” to show relevant network issues• Delivered diverse use cases in wireless, switching and routing, SD-WAN, and IoT as part of Intent Based Networking in Cisco Digital Network ArchitectureLead innovation, strategy, and partnerships for location• Define next generation product roadmap with Product Marketing and Engineering executives • Technical advisor for mergers and acquisitions • Drive innovation into product around location ease of deployment, IoT asset management, and different location technologies including UWB, ZigBee, BLE, Video, LiDAR, and LiFi

I am the technical lead of Cisco’s award winning hyperlocation and analytics services. • Improved location determination algorithms based on signal strength, angle of arrival, time of arrival and time difference of arrival. • Implemented machine learning based algorithm to improve location analytics• Responsible for Kalman filtering for location smoothening • Designed and implemented path matching using HMMs• Delivered algorithms for user mobility analytics using clustering techniques • Lead the innovation project to integrate video and wifi analytics• Handoff and handover algorithms and simulations for fixed mobile convergence• Cisco’s representative and key contributor to IEEE 802.11 standards o Task group AE which aims to prioritize management frames in 802.11 network o Task group AA which aims to provide reliable groupcast o Task group AI which aims at fast initial link setup for 802.11 network o Use case editor for Next Generation Location Study group o Recognized by the standards committee for significant contribution to 802.11AE and 802.11AA• Member of wireless patent committee in Cisco Systems• Sponsor and liaison various Cisco’s university research programs

- Vodafone Fellow for three years, 2004-2007- Awarded Vodafone Best Poster Award (Auburn) in Vodafone Wireless Technology Symposium, April 7-9, 2006 - Awarded Vodafone Research Merit Award in Vodafone Wireless Technology Symposium, April 8-10, 2005 Worked on - Optimal node placement in hierarchical networks and coverage in heterogeneous ad-hoc networks. - Secure location estimation of wireless users in 802.11 network- Localization in sensor network considering the energy accuracy tradeoff- Ranging and Target Identification using UWB radios

Developed a secure location estimation scheme for wireless client Simulated, implemented and tested the scheme for 802.11b network

Developed data collection scheme for indoor wireless data collection and worked on wireless intrusion detection system (WIDS)