Jun 2020 – Aug 2022 · 2 yrs 2 mos

• Served as Principal Investigator for a research initiative titled "Automating Function Naming in Stripped Binaries via Neural Networks and NLP Techniques," focused on applying LSTM and Transformer-based models alongside word2vec embeddings to infer meaningful function names in binaries lacking symbol information.
• Co-authored the white paper "Odyssey: A Systems Approach to Machine Learning Security," outlining principles and architectural approaches to systematically harden machine learning models and workflows against adversarial threats and operational risks.

Feb 2018 – Jun 2020 · 2 yrs 4 mos

• Leading a team of security research on reverse engineering tasks across platforms that include iOS and architectures that include ARM
• Principal Investigator for MITRE's automated reverse engineering framework research effort to perform (exact and partial) function/binary matching at scale for applications that include firmware analysis and software supply chain risk management

Jan 2019 – May 2020 · 1 yr 4 mos · College Park, Maryland

• Developed and taught the course: “Machine Learning Applied to Cyber Security”
• Introduced students to relevant unsupervised and supervised Machine Learning techniques (e.g. clustering and classification) and how they can be applied to address Cyber Security problems (e.g. Malware, Vulnerability, and Network Traffic)

Aug 2018 – Present · 7 yrs 8 mos · Atlanta Metropolitan Area · Hybrid

• Founded Jones Cyber-AI to advance independent research and specialized training at the intersection of AI/ML, graph-based analysis, LLMs, agentic systems, and reverse engineering (RE), including development and instruction of a hands-on course at Black Hat USA (2019, 2021, 2023–2026) and RECON Montreal (2023–2026).
• Created Blackfyre, an open-source framework that lifts binaries into VEX IR encoded as Protocol Buffers (protobuf) for scalable analysis and serves as the foundation for advanced RE automation workflows.
• Introduced a 2025 fine-tuning module featuring hands-on training with LLaMA 3.2 models on cloud GPUs, covering supervised fine-tuning, LoRA, and quantization for adapting LLMs to security-focused RE tasks.
• Expanded the curriculum in 2026 to include graph-based workflows, NL2GQL for insight-focused querying, transformer embeddings, RAG, KnowledgeRAG, the Model Context Protocol (MCP), agentic systems, and the introduction of BinQL as an open-source graph query and analysis framework.

Mar 2016 – Feb 2018 · 1 yr 11 mos · Annapolis Junction, MD

• Leading a team of security researchers in developing automated static and dynamic analysis tools written in C++ and Python that performs data flow and control flow analysis to identify potential exploitable vulnerabilities in embedded device firmware via an llvm intermediate representation (IR)
• Analysis tools being developed are capable of detecting memory corruption bugs that include stack/heap buffer overflows, Use-After-Free, and double free.
• Organizing and leading embedded hacking workshops internally and at top universities that include Georgia Tech and University of Maryland at College Park
• Organizing and developing technical talks on Memory Forensics, Machine Learning, and Binary analysis that are presented at venues in the Central Maryland area that include the University of Maryland at College Park
• Instructor with Booz Allen’s internal reverse engineering training program where several classes are taught per year with 30+ attendees in each class

Jan 2015 – Mar 2016 · 1 yr 2 mos

• Reverse engineering
• MIPS, ARM, and X86 architectures
• Tool Development (e.g. Fuzzers)
• Organized and created training material for an Embedded Hacking workshop open to SW engineers across the company that provided a hands-on experience/exposure to VR and software security principles

Aug 2013 – Mar 2016 · 2 yrs 7 mos

• Developing crypto-sytem interfaces (C/C++) using cryptographic libraries that include openssl.
• Kernel hardening Linux systems and utilizing vulnerability scanning tools that include Nessus.
• Working with crypto algorithms that include AES (using different modes i.e. CBC and CTR) and SHA

May 2011 – Aug 2011 · 3 mos · Portland, Oregon Area

• Designed an authentication method using QR codes that allows iOS and android smart phones to pair securely without explicitly using pins or passwords
• Developed and tested design using a Windows 7 server and android smartphone client
• Integrated authentication method into the Intel Cyber Security sdk suite

May 2009 – Aug 2009 · 3 mos · Dallas/Fort Worth Area

• Worked with customers, such as HTC, to develop solutions for smart phone integration issues related to multimedia hardware components including OMAP.
• Camera and battery driver development and testing.

May 2008 – Aug 2008 · 3 mos · Dallas/Fort Worth Area

• Camera and battery driver development and testing.

May 2007 – Aug 2007 · 3 mos · Albany, New York Area

May 2006 – Aug 2006 · 3 mos · Melbourne, Florida Area