Abed Mohammad Kamaluddin

About Abed Mohammad Kamaluddin

Driving solution and platform initiatives at Marvell across next-generation infrastructure and AI-scale systems, connecting customer needs, system architecture, and silicon roadmaps into scalable platforms and future-ready solutions adopted across product, solution, and customer programs.Current focus centers on building and scaling the DAO platform for solution development and customer enablement, shaping MURALs for AI-scale system simulation, and leading strategic N+2 research across AI fabrics, agentic AI, cloud-native dataplanes, near-memory compute, and CXL.Actively forging partnerships across academia, open-source, and industry, with sustained research collaborations, collaborative courses, and publication pipelines that translate deep technical insight into product and platform strategy—while seeding next-generation technical talent and building virtual R&D teams focused on emerging AI-scale and infrastructure technologies.Known for driving technical discussions, seeding ideas, and building consensus across stakeholders to navigate complexity and translate emerging concepts into real, scalable engineering systems.

Experience

1. Director Software Engineering (Accelerated Solutions & Strategic Research

   Marvell Technology

   Apr 2025 — Present · Hyderabad, IN

   Driving cross-domain solution strategy across security, networking, compute, storage, and AI-scale systems, connecting customer needs with architectural direction, silicon roadmaps, and long-term platform strategy.• Driving the evolution of the DAO Platform as a unified foundation for solution development, prototyping, and customer enablement across Marvell’s accelerators, infrastructure processors, switches, and CXL solutionsDAO: marvellembeddedprocessors.github.io/dao/guides/index.html• Shaping MURALs (open access soon), an AI-scale simulation and modeling platform for next-generation system architectures, fabrics, and protocols• Driving early exploration and strategic solutions research (N+2) across AI-scale infrastructure, AI fabrics and protocols, agentic AI, cloud-native dataplanes, near-memory compute, and CXL—building early pipelines for future platforms• Established and scaled Marvell’s academia research program, setting up the company’s research facility at IIT Hyderabad and building sustained R&D programs with multiple research groups—growing applied expertise in AI/ML networking and fabric systems and steering research toward high-impact, industry-relevant directions while partnering with faculty to place outcomes in reputed peer-reviewed venues• Co-developed collaborative courses – Networks for AI/ML Systems — Delhi (Autumn 2025) – Topics in Networks — IIT Hyderabad (Spring 2025)• Building Marvell’s presence across open-source and research ecosystems, with the team contributing production-grade code across VPP, DPDK, P4, and OpenSSL, and publishing and speaking at SIGCOMM, Netdev, FOSDEM, KubeCon, and Shaping solution roadmaps by aligning customer needs, architecture, and platform strategy, translating requirements into software and silicon roadmap input, and driving technical discussions and cross-team consensus

Education

• Indian Institute of Technology, Roorkee

  M Tech, Computer Science Engineering

  2008 — 2010

• الجامعة الخىرية للتحفيظ القران الكريم - رياض

  حفظ القرآن الكريم, Religion/Religious Studies

Skills

• Cuda
• Tcpdump
• Dfa
• Profiling Tools
• C
• Algorithms
• Microcontrollers
• Traffic Generation
• Ike
• Metasploit
• Ids
• Octeon
• Gnu Debugger
• Performance Tuning
• Embedded C
• Pcap
• Ipsec
• Analysis
• Hfa
• C++
• Tcp/Ip
• Ixia
• Iperf
• Linux Kernel
• Linux
• Mpi
• C/C++
• Wireshark
• High Performance Computing
• Deep Packet Inspection
• Multi-Core
• Testing
• Snort
• Internet Protocol Suite (Tcp/Ip)
• Pattern Matching
• Openmp
• Matlab