Archana Nehru

CEO

Bengaluru, Karnataka, India29 yrs 4 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Led AI-driven digital transformation at Cisco and VMware.
  • Built AI/ML solutions across multiple business domains.
  • Extensive experience in managing large engineering teams.
Stackforce AI infers this person is a seasoned leader in AI-driven SaaS and digital transformation.

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Skills

Core Skills

Machine LearningAi/ml SolutionsData ManagementDigital Transformation

Other Skills

Generative AIClassical MLAnomaly DetectionTime Series DataData EngineeringBig Data ArchitectureAI AnalyticsMobile DevicesStrategySoftware DevelopmentEmbedded SystemsManagementProject ManagementLeadershipSoC

About

I am a Senior Technology Leader with 25+ years of various business and technical roles spanning across various technology domains. I am passionate about "Data" and "Applied AI" and excited by the "paradigm shift" that digital transformation is driving across industries. I have lead end to end Digital Transformation Journeys at Cisco, Vmware - which started with establishing a strong foundation of Data Management, Data Quality & Governance and then using that foundation to build AI/ML Solutions for business analytics, predictions/insights etc. I have a strong experience building LLM/RAG based AI Agents. I have built AI/ML solutions for various business domains such as Engineering, Sales, Customer Experience, Operations, Procurement, Supply Chain etc leading a team of data scientist and data engineers. In my past roles at Intel, I have had extensive developing firmware and system software (Embedded, VOIP, Datacom, BIOS) and lead Corporate Business Strategy and Roadmap for defining new products (phones/tablets/System on chip). I have also had an International exposure of having worked in US for about 7 years. AI/ML/Data Science Specialties: Machine Learning, Analytics, Gen AI (Agents, LLMs, RAG based Solutions), Big Data Management & Governance, Data Quality, Anomaly Detection, Supervised and Unsupervised Learning, NLP, Product Knowledge Graphs Software Engg Expertise: Embedded Software. Data com/Networking Software, Voice Over IP, Device Drivers Core Engg/Management Expertise: Engineering Management, Product Management, Corporate/Business Strategy, Business Portfolio and Roadmap Definition, Market and Biz Development, SOC Product Planning, Emerging Market Expertise, Ecosystem Development, Program Management 15+ years of People Management with extensive experience building and managing large teams (100+)

Experience

Palo alto networks

Senior Director and Global Head- CX and GTM

Dec 2025Present · 4 mos · India

  • In my role as Senior Director, I am responsible for shaping and delivering enterprise CX and GTM applications, while leading AI-driven transformation initiatives across backend operations and advancing the development of agentic solutions.

Omnissa (ex-vmware euc business)

Global Head of Data Science and Machine Learning - End User Computing Business

Dec 2023Dec 2025 · 2 yrs · Bangalore Urban, Karnataka, India · Hybrid

  • Lead a Global Team of Data Science/ML at Omnissa's End user Computing Business. Our vision is to build a AI Enabled Autonomous Workspace that is "Self-Healing", "Self-Securing" and "Self-Configuring".
  • To realise this vision, we build classical machine learning based as well as Agentic AI products that add AI/ML based intelligence across all Omnissa Product lines (E.g: DEX, UEM, Horizon)
  • Key areas of focus are:
  • 1) Generative AI/LLM Agents: AI Agents ("Omni") help our customers engage with our products more easily using natural language. Omni allows our customers to query Data from our data lakes or do a "GPT style" query of key product product information from >30K document at the click of a button.
  • 2) Classical ML based Models (Supervised/Unsupervised/Deep Learning) used for "Self-Healing", "Self - Configuring" and "Self-Securing" the Enterprise. Using time series data/anomaly detection/forecasting algorithms, to generates insights and system alerts that provides real time visibility into adverse Enterprise event. Additionally the Guided Root Cause Analysis (GRCA)solution also helps in identifying root cause quickly and reduce downtime significantly

Vmware

Global Head of Data Science and Advanced Analytics

Mar 2022Dec 2023 · 1 yr 9 mos · India

  • Lead a global Team (US, Bulgaria, India) of Data Science/Machine Learning. Our team focusses on developing AI/ML solutions for all functions of the Enterprise. Key Areas of Focus include: Sales, Customer Support/Experience, Operations, embedded intelligence in to Core Vmware Products.

Cisco systems (india) private limited, bangalore

Head Enterprise AI- Cisco India

Jan 2019Mar 2022 · 3 yrs 2 mos · bangalore

  • Cisco is going through a Disruptive transformation - from Selling hardware to Selling Software/Saas. Data is key here and Cisco's Digital transformation from a traditional to a "Data-First" Company is critical for our success.
  • Leading the company on this Data journey, is the "Data & Analytics" team that is focussed on Data Engineering, Big Data Architecture, Machine Learning, Artificial Intelligence Enabled Analytics to generate critical business insights and enable data-driven decisions.
  • It is a privilege to lead this chapter of transformation for Cisco with the help of an extremely talented team of Data Scientists and Data Engineers who are pushing the boundaries and exploring new frontiers of Data Science using AI & Machine Learning to solve business critical problems.
  • Responsible for:
  • Data & Analytics strategy
  • AI/ML Enabled Analytics - Fraud/Wastage Abuse Detection, Knowledge Graphs, Anomaly Detection, Customer Activation, Escalation Prediction Models
  • Master Data Management (Governance, Quality, Privacy & Protection)
  • Data Integration
  • Digital Transformation (Cloud Migration, Big data Platforms)

Intel corporation

Director Of Engineering- Firmware

Apr 2015May 2019 · 4 yrs 1 mo · Bengaluru, Karnataka, India

  • Leading a (100+) Engineering team to deliver BIOS/Firmware and System software/drivers for Intel® Core™ and Atom™ based Desktop and Mobile platforms.

Intel

3 roles

Strategic/Business Planning - Phones & Tablets

Promoted

Mar 2011Apr 2015 · 4 yrs 1 mo

  • Responsible for Business Strategy, Roadmap planning, Product definition for Tablets and Smart Phones. Lead for Portfolio planning and definition for China Tech Ecosystem and Emerging Markets.
  • Laid foundation for Intel's Cost Reduced Roadmap for Value/Entry Tablet Market by defining Intel's first "Low Cost SOC" for Value/Entry Tablet Market based on Intel BayTrail Product Line. The BayTrail-Entry Product has proven to be a game changer for Intel's presence in Low cost Tablets and a major contributor to Intel's march towards the 40M Tablet Goal in 2014.

Senior Manager- Strategy and Mkt Development

Mar 2007Mar 2011 · 4 yrs

  • Head of Intel's Ecosystem Strategy- Embedded (India)
  • Created Intel's "First Ecosystem Enabling Program for Embedded" in India called the " Intel India Design House Program" as part of Intel's strategy to accelerate adoption of IA in the Embedded Market. The program provides business and technical support to create innovative product concepts on x86 and was a huge success with enrollment from more than 30 Top Design Houses from Indian Design House Community within < 2 years and delivery of several innovative reference designs and products. Launched innovative product concepts like Energy Management Systems, Medical Gateway, In Vehicle Infotainment, TelePathology solutions contributed significantly to x-86 revenues.
  • Lead-Emerging Market Strategy for Mobile products (Smart Phones, Tablets, Feature Phones). Responsibilties included Market research, Identifying Market Opportunities, Identifying Roadmap Gaps, Strategy Definition (Products and Partnerships)

Engineering Manager

Dec 2000Mar 2007 · 6 yrs 3 mos

  • Engineering Manager responsible for delivery of multiple multi-million, software projects for Intel's Network processor Product Line (Intel's IXP 2400/2350/2800 Network Processors) as a well as IA based chipsets used in various Telecom/DataCom solutions like Residential Gateways, SOHO/Edge routers etc. Responsible for leading multiple teams (overall team size ~50 people) and delivering on schedule/within budget.

Trillium

Member of Technical Staff

Jan 1997Jan 2000 · 3 yrs · Greater Los Angeles Area, USA

  • Development and support of Trillium’s H.323 Version 4 Protocol Stack
  • Development of LAN Emulation Services Over ATM Protocol Stack
  • Development of Multi Protocol Over ATM (MPoA) Client
  • Development of Classical IP Over ATM (CIP) Stack

Dcm data systems

Member of Technical Staff

Jan 1995Jan 1996 · 1 yr

Education

Indian Institute of Management Bangalore

Executive Management Program — Competitive Marketing

Jan 2008Jan 2008

Birla Institute of Technology & Science, Pilani

B.E(Hons) Computer Science — Computer Science

Jan 1991Jan 1995

Stanford University

Machine Learning (WIP)

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