Summary
Overview
Work History
Education
Skills
Research Experience (Project)
Accomplishments
Websites
Timeline
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Jamal H. Mosakheil

Hillsboro,OR

Summary

Senior Cloud Technology Validation Software Engineer with 8+ years of experience in validating CPU/GPU confidential compute features and managing large-scale databases. Expertise in applied cryptography, focusing on data security, AI security, blockchain security, and identity management. Ph.D. in Computer Science with published research in IEEE and ACM on cryptographic protocol design and verifiable computation.

Overview

13
13
years of professional experience

Work History

Sr. Cloud Technology Validation Software Engineer

Intel Corporation (Data Center & AI Team)
Hillsboro, OR
06.2022 - Current
  • Executed end-to-end platform validation of Intel Xeon CPUs, emphasizing Confidential Computing features such as Software Guard Extensions (SGX) and Trust Domain Extensions (TDX).
  • Led platform-level validation for AI Infrastructure Platforms, executing functional validation of NVIDIA H100 and Intel Gaudi 3 accelerators with Intel Xeon-based AI head nodes.
  • Designed and automated over 100 functional and security test cases using Python, enhancing validation coverage while halving regression time.
  • Implemented secure software development practices utilizing CI/CD pipelines, code reviews, and traceability to ensure compliance with platform security requirements.
  • Collaborated with silicon, BIOS, and virtualization teams to debug hardware validation issues using simulation environments and post-silicon bring-up.
  • Directed task forces for security automation readiness, focusing on test orchestration and bug escape analysis using advanced validation automation frameworks.

Information Security Analyst

UMRF Ventures INC (FedEx Vendor)
Memphis, TN
10.2021 - 06.2022
  • Designed and deployed end-to-end machine learning pipeline using TensorFlow Extended and Google Vertex AI for malicious email and URL detection in production environment at FedEx.
  • Investigated and analyzed anomalous user and system behavior utilizing Splunk, User Behavior Analytics, and Google BigQuery to enhance threat detection and incident response.

Data Center Intern

Intel Corporation
Hillsboro, OR
06.2020 - 01.2021
  • Executed functional validation for Intel Software Guard Extension, Multi-Key Total Memory Encryption, and Persistent Memory.
  • Developed contents for workload enabling and testing of Intel SGX2, MKTME, and DDR4.

Software Engineering Intern

Intel Corporation
Hillsboro, OR
05.2019 - 08.2019
  • Conducted security and cryptographic reviews for Intel SGX, Intel MKTME, and Intel Persistent Memory.
  • Developed workload enabling and test contents for HBase, Hadoop clusters, and Zookeeper on Intel Optane DC Persistent Memory.
  • Analyzed potential cases impacting system map due to MKTME encryption of Intel Persistent Memory, creating corresponding test contents.

Supervisor Database Administrator - DBA (Oracle & SQL Server)

MTN Telecommunication
Kabul, Afghanistan
08.2012 - 06.2016
  • Supervised a team of six Database Administrators managing 52 Oracle and SQL Server servers across three data centers.
  • Designed and deployed a data center recovery site to ensure high availability and disaster recovery.
  • Implemented data-at-rest encryption, virtual private databases, and access control policies to enhance data security.

Database and Application Administrator - DBA (Oracle)

Pashtany Bank
Kabul, Afghanistan
02.2012 - 06.2012
  • Managed Oracle Databases and Core Banking Solutions (CBS), utilizing Oracle RAC & Data Guard for enhanced availability and load balancing.

Education

Ph.D. - Computer Science

University of Memphis
Memphis, TN, USA
10-2024

Master's - Cybersecurity (Information Assurance)

St. Cloud State University
St. Cloud, MN, USA
05.2018

Fellowship - Leadership & Management Studies

Institute of International Assistance Mission
Kabul, Afghanistan
11.2013

Bachelor of Technology - Computer Engineering

Kurukshetra University
Haryana, India
06.2011

Skills

  • Applied Cryptography: Zero-Knowledge Proofs, Verifiable Computation, Anonymous Credentials, Threshold Cryptography, FHE, MPC
  • CPU/GPU Platform Validation: Functional/platform validation of Intel Xeon confidential compute features (SGX, TDX)
  • Blockchain: Threshold block validation, verifiable consensus, smart contract privacy
  • ML/AI Development: Tensorflow Extended, Vertex AI, Keras, Federated Learning, Weka, SKlearn
  • Verifiable AI Computation: Design cryptographic protocols for proving ML training and auditing inference using zero-knowledge proofs
  • DBMS: Oracle, Oracle Clusters, SQL Server, IBM DB2, Oracle Business Intelligence & Audit
  • Cloud Computing & Security: Google GCP, OpenStack, OpenNebula, AWS, Azure, VMware
  • Operating System: Ubuntu, Fedora, Solaris, RedHat, CentOS, Intel-Next, Windows, Hyper-V
  • Programming: Python, Shell Scripting, Advance SQL & PL/SQL, C, Java Script
  • Network Security: Splunk, UBA, Intrusion Detection & Prevention - Suricata & Snort
  • Penetration Testing: Metasploit, Fuzzbunch, Kali, Burpsuite, Wireshark, BeEF, Nmap
  • Digital Forensics: Memory & Data at Rest forensics (FTK, Volatility, EnCase, AutoSpy)
  • IT Project Management: Microsoft Project Manager, SAP

Research Experience (Project)

  • Project: PKChain – A compromise-tolerant and verifiable public key management blockchain

PKChain offers a decentralized public key management system with proactive security via threshold block validation and a collaborative certificate issuance mechanism, eliminating the single point of failure in traditional PKI systems

  • SilentProof: Anonymous Authentication with Blockchain-Backed Offloading

SilentProof is a blockchain-backed, anonymous authentication protocol that offloads credential presentation via zero-knowledge proxy re-identification and blind signatures, enhancing scalability, security, and privacy for resource-limited clients.

  • zkAdHoc: Folding-based Zero-Knowledge Proofs of Training with On-demand Proving for Federated Learning

zkAdHoc is a zero-knowledge proof of correctness for deep neural network training that enables on-demand proof generation for selected training iterations without requiring model re-training, ensuring both scalability and privacy in Federated Learning

ORCID: https://orcid.org/0009-0009-6155-3630

Accomplishments

  • Fulbright Scholar (07/2016 – 05/2018) – Awarded a two-year Fulbright Scholarship by U.S. State department to pursue a Master’s degree in Cybersecurity at St. Cloud State University, MN, USA.
  • ICCR Scholar (06/2007 – 06/2011) – Awarded a four-year Indian Council for Cultural Relations (ICCR) Scholarship by Indian government to pursue a Bachelor’s degree in Computer Engineering at Kurukshetra University, Haryana, India.

Timeline

Sr. Cloud Technology Validation Software Engineer

Intel Corporation (Data Center & AI Team)
06.2022 - Current

Information Security Analyst

UMRF Ventures INC (FedEx Vendor)
10.2021 - 06.2022

Data Center Intern

Intel Corporation
06.2020 - 01.2021

Software Engineering Intern

Intel Corporation
05.2019 - 08.2019

Supervisor Database Administrator - DBA (Oracle & SQL Server)

MTN Telecommunication
08.2012 - 06.2016

Database and Application Administrator - DBA (Oracle)

Pashtany Bank
02.2012 - 06.2012

Ph.D. - Computer Science

University of Memphis

Master's - Cybersecurity (Information Assurance)

St. Cloud State University

Fellowship - Leadership & Management Studies

Institute of International Assistance Mission

Bachelor of Technology - Computer Engineering

Kurukshetra University
Jamal H. Mosakheil