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Engineering Leader at Cisco | Driving ML and Gen AI-Powered Networking Products, Automation & Analytics platforms
I am an Engineering Leader at Cisco, driving the innovation of AI/ML-enabled solutions within the Customer Experience portfolio, with a focus on Collaboration and Security domains. I lead high-impact initiatives that have delivered transformative Gen AI solutions, significantly improving productivity for support teams, customers, and partners. My work includes architecting advanced AI technologies such as Conversational AI Search and custom LLM-based applications for product configuration, deployment & tracking adoption journey I specialize in fine-tuning ML models to address complex, domain-specific challenges—particularly in network configuration, troubleshooting, and best practice recommendations. I have successfully led teams of machine learning engineers, pushing the boundaries of model performance and enterprise application. My core strength lies in blending deep technical expertise with strategic leadership to drive innovation in intelligent networking solutions. Objective --------- To lead the design and deployment of large-scale, high-performance agent platforms and tools, with a focus on enhancing foundation models for complex tasks like code generation, reasoning, and multi-modal understanding. I seek to drive the technical vision and execution of machine learning initiatives, combining hands-on problem-solving with strategic leadership to deliver real-world impact through specialized LLMs and generative AI.
Supportvectors.io
LLM Bootcamp
January 1, 2024 – May 1, 2034
Wharton Executive Education
Chief Technology Officer
January 1, 2023 – December 1, 2024
Udacity
Machine Learning Engineer Nanodegree, Data Science and machine learning
January 1, 2016 – January 1, 2017
Udacity
Self Driving Car Engineer Nano Degree, Autonomous Car
January 1, 2016 – January 1, 2017
Santa Clara University
Masters in Software Engineering and Management, Computer Science
N/A – Present
Coimbatore Institute of Technology
Computer Science and Engineering
N/A – Present
Cisco
Technical Leader - Gen AI and LLM Applications
July 1, 2024 – Present
Cisco
Engineering Leader
January 1, 2023 – Present
Cisco
Product Development
January 1, 2022 – February 1, 2023
Cisco
Product Development
October 1, 2020 – January 1, 2022
Cisco
Engineering Leader
January 1, 2018 – October 1, 2020
Cisco
Engineering Manager
December 1, 2014 – January 1, 2018
Cisco
Engineering Manager
June 1, 2011 – December 1, 2014
Cisco
Technical Leader
December 1, 2009 – June 1, 2011
Cisco
Senior Software Engineer
January 1, 2003 – January 1, 2008
Cisco
Software Engineer
June 1, 2000 – January 1, 2003
Cisco
Software Engineer
January 1, 1997 – January 1, 2000
Oracle/Sun Microsystems
Software Engineer
January 1, 1995 – January 1, 1997
India & US
HCL Technologies
Software Developer
January 1, 1994 – August 1, 1995
Chennai and US
Softek Ltd, New Delhi
Software Engineer
May 1, 1992 – November 1, 1994
New Delhi , India
Machine Learning Projects
January 1, 2015 – Present
Have developed several machine learning, computer vision & noise reduction programs using neural networks (tensor-flow and keras) This repository also contains code base for vehicle abstraction layer for self driving car components.
Cultural Fit Analysis
The candidate demonstrates a strong commitment to continuous learning through multiple advanced degrees and bootcamps (Wharton, Udacity, Supportvectors.io LLM Bootcamp). The diverse educational background, including both traditional computer science and specialized AI/ML programs, suggests an individual who values growth and staying current with industry trends. The long tenure at a single company (Cisco) could indicate loyalty and stability, but also a potential lack of exposure to diverse organizational cultures. The personal projects in ML and self-driving cars show initiative and passion beyond their primary employment.
Soft Skills & Operational Fit
The candidate's long tenure at Cisco, progressing through various engineering and leadership roles, suggests strong operational fit, leadership capabilities, and a history of contributing to large-scale projects. The shift towards Gen AI and LLM applications indicates a proactive approach to skill development and adaptability. However, specific soft skills like collaboration style or problem-solving approach cannot be directly assessed from the provided data.