
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
agentic-malware-analysis
March 18, 2026 – Present
Agentic malware analysis environment with MCP-connected disassemblers, RE tooling, and structured workflows for Claude Code and Codex CLI.
View Projectbinary-ninja-headless-mcp
March 3, 2026 – Present
Headless Binary Ninja MCP server — giving AI agents deep reverse-engineering capabilities via 180 tools.
View Projectobfuscation_analysis
May 25, 2025 – Present
Binary Ninja plugin to analyze and simplify obfuscated code
View Projectreverser_ai
March 17, 2024 – Present
Provides automated reverse engineering assistance through the use of local large language models (LLMs) on consumer hardware.
View Projectloki
June 13, 2022 – January 23, 2024
Hardening code obfuscation against automated attacks
View Projectr2con2021_deobfuscation
September 19, 2021 – October 20, 2021
Workshop Material on VM-based Deobfuscation
View Projectmsynth
May 13, 2021 – Present
Code deobfuscation framework to simplify Mixed Boolean-Arithmetic (MBA) expressions
View Projectobfuscation_detection
March 3, 2021 – Present
Binary Ninja plugin to identify obfuscated code and other interesting code constructs
View Projectaurora
February 10, 2020 – August 31, 2022
Usenix Security 2021 - AURORA: Statistical Crash Analysis for Automated Root Cause Explanation
View Projectsyntia
December 11, 2017 – June 11, 2020
Program synthesis based deobfuscation framework for the USENIX 2017 paper "Syntia: Synthesizing the Semantics of Obfuscated Code"
View ProjectCultural Fit Analysis
The candidate's projects are highly specialized in reverse engineering, obfuscation, and security, which may indicate a strong preference for niche technical challenges. While these skills are valuable, their direct alignment with a general 'Data Scientist' role needs further exploration. The focus on personal projects suggests strong initiative and self-direction. The breadth of technologies used (Python, Rust, C++, Shell, Dockerfile, Jupyter Notebook, YARA) indicates adaptability and a willingness to learn diverse tools.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear and technically focused, but do not provide insight into collaboration, communication style, or work attitude.