Sanjay Agrawal

CEO

San Jose, California, United States16 yrs experience
AI EnabledAI ML Practitioner

Key Highlights

  • 15+ years driving AI innovation in regulated environments.
  • Built enterprise SaaS products with 2.8M+ users.
  • Grew technology business from $2M to $22M ARR.
Stackforce AI infers this person is a SaaS and AI-focused technology executive with extensive experience in product strategy and engineering leadership.

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Skills

Core Skills

Ai Product StrategyProduct ManagementEngineering LeadershipProduct Strategy

Other Skills

AI-powered solutionsAgile MethodologiesAmazon Web Services (AWS)AnsibleArtificial Intelligence (AI)CI/CD practicesCloud ComputingCommunicationDevOps practicesEmerging TechnologiesGo-to-Market StrategyGolangGoogle Cloud Platform (GCP)Industry standardsInformation Security

About

Technology executive with 15+ years of leadership experience driving AI innovation and software development in regulated environments. Proven track record of building high-performing technical teams and commercializing enterprise-grade solutions that transform operational workflows. Passionate about applying AI/ML technologies to solve complex industry challenges, with deep expertise in security compliance frameworks applicable to clinical environments. Product Strategy Architect, Innovation Catalyst, Customer centric leader, & excellent communicator. Talks: https://www.youtube.com/watch?v=GsEn32CBOtc&t=1556s

Experience

Chatsee.ai

Chief Product Officer

Jan 2024Present · 2 yrs 2 mos · San Jose, California, United States · On-site

  • -Building Enterprise software for Agent Analytics.

Seqrite

Chief Product Officer & Solution Architect

Jan 2021Jan 2024 · 3 yrs · United States · Hybrid

  • Technology Leadership & Innovation:
  • Architected enterprise technology roadmap integrating conversational AI, machine learning, and big data analytics to transform security operations
  • Pioneered AI Co-Pilot platform that automated compliance workflows and operational processes, delivering 40% efficiency gains
  • Built secure big data processing infrastructure handling 10M+ daily events across global cloud environments
  • Commercialized multiple enterprise SaaS products from concept to market, growing adoption to 2.8M+ enterprise users
  • Team Leadership & Development:
  • Built and scaled engineering teams across US and international locations, defining roles, processes, and performance frameworks
  • Implemented agile development methodologies and DevOps practices to accelerate time-to-market while maintaining quality standards
  • Managed offshore development resources, establishing clear communications protocols and quality control measures
  • Mentored technical leaders across AI/ML, software engineering, and data science domains
  • Regulatory Compliance & Security:
  • Implemented comprehensive security and compliance regulatory requirements
  • Designed data governance architecture that ensured privacy, security, and audit transparency
  • Improved government/regulatory compliance from 15% to 92% through systematic technology and process redesign
  • Successfully managed security certification processes with zero critical findings
  • Executive Leadership:
  • Served as technical spokesperson with C-suite customers, partners, and analysts, articulating complex technological value propositions
  • Collaborated across business functions to align technology capabilities with market demands and customer needs
  • Managed P&L for technology division, optimizing resource allocation while driving innovation
  • Grew enterprise technology business from $2M to $22M ARR with 24% CAGR
conversational AImachine learningbig data analyticsenterprise SaaS productsagile development methodologiesDevOps practices+4

Colortokens, inc.

VP of Product and Engineering

Nov 2017Aug 2020 · 2 yrs 9 mos · Santa Clara

  • Led technology strategy and engineering for an AI-focused security startup through successful acquisition and integration.
  • Built and led 70+ engineers and data scientists developing AI-powered solutions for enterprise environments
  • Commercialized data protection and workflow automation platforms generating $30M ARR
  • Designed and implemented machine learning pipelines for automated analysis of sensitive data
  • Established architecture review processes ensuring scalability, security, and regulatory compliance
  • Directed transition from on-premise to cloud-based SaaS infrastructure, increasing customer flexibility while maintaining data sovereignty
AI-powered solutionsmachine learning pipelinescloud-based SaaS infrastructureProduct ManagementEngineering Leadership

Cisco systems

Director of Engineering

Sep 2009Oct 2017 · 8 yrs 1 mo · San Jose, CA

  • Directed technology strategy and implementation for Cisco's $300M+ security and cloud portfolio.
  • Led Cisco's transformation from hardware-centric security to cloud-based SaaS platforms
  • Architected secure infrastructure solutions for healthcare and regulated industry customers
  • Managed technology budget and resource allocation across multiple product lines
  • Established strategic technology partnerships to accelerate innovation and market adoption
  • Implemented CI/CD practices for regulated environments, balancing agility with compliance requirements
cloud-based SaaS platformssecure infrastructure solutionsCI/CD practicesEngineering LeadershipProduct Strategy

Education

Stanford University

Doctor of Philosophy - PhD — Computer Engineering

Stanford University

Master's degree — Computer Engineering

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