Deepali Garg

Deepali Garg

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SVP Engineering and AI/ML | Driving $200M+ Revenue Opportunities | TIME Best Invention 2024 | MIT
Washington, United States

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Résumé


Jobs verified_user 0% verified
  • BlackPoint Cyber
    SVP Engineering and AI/ML
    BlackPoint Cyber
    Jun 2026 - Current (5 months)
  • Adobe
    Senior Manager, Machine Learning
    Adobe
    Sep 2022 - Jun 2026 (3 years 10 months)
    Leading ML organizations that ship AI products at scale.
    I led two ML teams (20+ engineers and managers) building production GenAI for Adobe Document Cloud. Our work spanned 0-to-1 innovation (Generative Presentations), scale optimization, and responsible AI frameworks that enable user trust.

    Strategic Impact:

    Market Entry: Led ML engineering for Generative Presentations, unlocking Adobe's entry into AI-powered document creation ($200M+ market opportunity)
    TIME's Best Invention 2024: Drove ML for answer citation for Acrobat AI Assistant
    Production Scale: Shipped form authoring processing 1M+ documents daily

    Organizational Leadership:

    Scaled team through 20+ hires across engineering
  • Avast
    Research Manager, AI/ML
    Avast
    Aug 2017 - Sep 2022 (5 years 2 months)
    Built AI/ML research organization from concept.

    Founded and led Privacy Threat Lab investigating emerging online privacy threats for world's largest consumer security company (Avast was later acquired by Gen/Norton LifeLock for $8B)

    Technical & Research Impact:

    Adversarial AI: Pioneered research generating malware variants that exposed vulnerabilities in commercial antivirus systems—findings directly influenced product security roadmap
    Privacy Framework: Designed organization-wide framework for identifying and prioritizing consumer privacy threats (tracking, fingerprinting, profiling); built metrics platform for evaluating anti-tracking products
    IoT Security: Developed ML-based detection for botnet
  • Qualcomm
    Staff Engineer
    Qualcomm
    Jun 2004 - Aug 2017 (13 years 3 months)
    Led design, implementation, and verification of physical layer systems for next-generation wireless technologies.

    Technical Leadership:

    Orchestrated complex, cross-disciplinary projects spanning hardware, firmware, and test teams
    5G/LTE Innovation: Created foundational models for LTE-U technology access procedures, contributing to standards development
    Commercialization: Designed and shipped novel channel estimation algorithm deployed in millions of devices
    Power Optimization: Architected controller enabling opportunistic hibernation of modem components, significantly improving battery life

    Systems Engineering:
    End-to-end ownership of feature development from requirements through verifica
Education verified_user 0% verified
  • Massachusetts Institute of Technology
    Master's, Electrical Engineering and Computer Science
    Massachusetts Institute of Technology
    Jan 2000 - Dec 2004 (5 years)
  • Massachusetts Institute of Technology
    Bachelor of Science, Electrical Engineering and Computer Science
    Massachusetts Institute of Technology
    Jan 2000 - Dec 2003 (4 years)
  • MIT Sloan School of Management
    AI Leadership
    MIT Sloan School of Management
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