Abhinav Garg

Consultant

Abhinav Garg supports patent litigation, licensing, and monetization engagements through detailed patent and product analysis. His work includes Evidence of Use charting, infringement analysis, claim chart review, reverse engineering, open-source code review, technology mapping, and technical documentation.

Abhinav has prepared approximately 50 Evidence of Use charts for licensing and litigation campaigns across 20 projects and 10 technology domains, performed approximately 10 claim chart reviews, and evaluated patent portfolios containing approximately 6,000 patents to identify high-value licensing candidates.

His technical experience spans semiconductors, NAND device fabrication, MEMS, networking, Ethernet, PCIe, blockchain, multimedia, video streaming and encoding, cloud computing, the Internet of Things, artificial intelligence, and consumer software. He has also developed AI-assisted workflows for portfolio analysis, patent review, research reporting, and structured technical documentation.

Summary of Qualifications

  • Prepared approximately 50 Evidence of Use charts across 20 projects and 10 technology domains.
  • Performed approximately 10 claim chart reviews for licensing and litigation campaigns.
  • Evaluated patent portfolios containing approximately 6,000 patents to identify licensing candidates.
  • Developed AI-assisted research workflows adopted by his team for portfolio mining and categorization.
  • Conducted internal training on infringement analysis, reverse engineering, and AI-assisted research.
  • Bachelor of Technology in Information Technology from Chitkara University.

Areas of Expertise

  • Patent Infringement Analysis: Performs infringement analysis, prepares Evidence of Use charts, and reviews claim charts for licensing and litigation campaigns.
  • Patent Portfolio Evaluation: Applies patent mining, technology mapping, categorization, and evaluation methods to identify potential licensing candidates.
  • Reverse Engineering & Patent Verification: Examines enterprise and consumer electronics and verifies claim charts through detailed patent and product analysis.
  • Semiconductor, Hardware & MEMS Analysis: Analyzes hardware architecture, SEM/TEM images, MEMS structures, semiconductor technologies, and NAND device fabrication.
  • Networking & Communications: Works with wired communications technologies, including Ethernet and PCIe.
  • Multimedia & Consumer Software: Analyzes multimedia systems, video streaming and encoding, HEVC, and consumer media applications.
  • Cloud, IoT, Blockchain & AI: Conducts technical research involving cloud computing, the Internet of Things, blockchain, and artificial intelligence.
  • Open-Source Code Review & Documentation: Reviews open-source code and produces structured technical documentation for patent analysis.
  • AI-Assisted Research Automation: Develops workflows using n8n, AI Studio, and custom GPT-based solutions to support patent review, portfolio analysis, and research reporting.