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Malware Analysis & Reverse Engineering
Unpack malicious behavior, inspect execution paths, and translate opaque samples into operationally useful findings.
Technical Depth for High-Stakes Security Work
Cybersecurity Engineer | Reverse Engineering | Security Automation
Cybersecurity engineer focused on reverse engineering, security automation, and resilient infrastructure operations.
I build analyst-facing systems, investigation workflows, and automation that help teams move quickly under pressure from suspicious signal to defensible engineering output, with consistent results across malware analysis, detection, large-scale network environments, and mathematically disciplined problem-solving.
What Teams Hire For
Operational security tooling
Build investigation aids, triage systems, and enrichment workflows that reduce repetitive analyst effort without hiding the evidence, while keeping output fast and repeatable in time-critical situations.
Reverse engineering with practical outcomes
Translate suspicious behavior into detection ideas, response context, and engineering decisions that are useful beyond a single incident.
Infrastructure-aware security execution
Work across network telemetry, cloud-connected systems, and platform operations to improve resilience, observability, response speed, and dependable execution under pressure.
Mathematical rigor in technical work
Bring a strong personal interest in advanced mathematics and engineering mathematics into modeling, analysis discipline, and structured problem decomposition.
Core Strength
Reverse engineering, malware triage, and detection-focused security tooling
Operating Range
Security operations, network engineering, infrastructure automation, and engineering-math-driven analytical thinking
What Teams Get
Fast execution under pressure, automation-backed consistency, and clearer high-signal engineering outputs
How I Stay Effective
Current with evolving technology, tooling, and security workflows instead of relying on stale operating patterns
Value Proposition
Built for the hard parts of defensive security.
This portfolio is centered on technical depth: understanding malicious behavior, engineering repeatable workflows, and producing outputs that analysts and security teams can use immediately.
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AI-Driven Security Automation
Design analyst-facing workflows, AI-assisted triage systems, and detection pipelines that reduce repetitive investigation time.
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Network Reliability & Threat Engineering
Connect network telemetry, indicators, behaviors, and infrastructure into engineering outputs that improve reliability, detection, response, and decision support.
Featured Projects
Systems, tooling, and research workflows with practical security outcomes.
Each project is structured as a technical case study with problem framing, design decisions, workflow architecture, and security impact.
Automated Malware Triage Workbench
Case StudyAn analyst-focused triage environment that reduces the time required to classify suspicious binaries and scripts.
Python YARA Ghidra Flask Docker
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JavaScript Deobfuscation and Behavioral Analysis Engine
Case StudyA pipeline for unpacking heavily obfuscated JavaScript and extracting behavior relevant to detection and threat understanding.
Node.js Babel AST tooling Python Docker
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IoT Threat Simulation and Analysis Lab
Case StudyA contained research environment for emulating IoT threats, observing device behavior, and validating security hypotheses.
Python Zeek Suricata Docker MQTT
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Static Code Analysis Engine for Security Detection
Case StudyA rule-driven code analysis engine for identifying risky patterns and surfacing high-value security findings early.
Python Semgrep CodeQL GitLab CI Docker
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Threat Intelligence Correlation Dashboard
Case StudyA correlation layer that links infrastructure, indicators, and behaviors into a usable analyst-facing threat picture.
Python FastAPI Neo4j Splunk Docker
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Research
Selected technical writing that reinforces hands-on security depth.
These write-ups support the case studies above by showing how analysis thinking, deobfuscation work, and automation patterns are documented and explained.
Reverse Engineering 8 min read Mar 12, 2026
Reverse Engineering Obfuscated JavaScript
A workflow for profiling obfuscated JavaScript, simplifying AST structure, recovering behavior, and converting findings into useful defensive output.
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Malware Analysis 7 min read Mar 6, 2026
Malware Analysis Walkthroughs
A structured workflow for moving from suspicious sample intake to evidence, behavioral conclusions, and defensive output.
Read research note
Skills
Technical depth organized around how security work gets done.
The emphasis here is not keyword volume. It is capability across reverse engineering, analyst tooling, detection workflows, and platform operations.
Core Expertise
Malware analysis Reverse engineering Threat research Incident response Detection logic Static analysis Root cause analysis
Engineering & Automation
Python JavaScript PowerShell Advanced mathematics Engineering mathematics Terraform API-driven tooling AI-assisted analysis workflows Security automation Network automation SIEM Investigation tooling Infrastructure validation
Security Domains
WAN MPLS IPVPN IoT security IIoT security Network security VPN and hybrid connectivity Endpoint telemetry Threat hunting Observability and telemetry correlation
Tools & Platforms
IDA Pro x64dbg Ghidra CrowdStrike Defender SentinelOne Splunk Terraform OCI GitLab Cloud APIs Akamai Jira Confluence Routers Switches Network monitoring platforms
Experience Highlights
Concise, high-signal snapshots of network, security, and automation work.
This section stays compact by design. The emphasis is on engineering scope, operational impact, and the ability to work across network infrastructure, incident response, and automation.
Senior Network Development Engineer
Designed and supported network operations across WAN, MPLS, IPVPN, SaaS, and hybrid environments while applying Python, PowerShell, APIs, and Terraform-based automation to improve validation, observability, and escalation response.
Senior Security Operations Analyst / Malware Reversing Specialist
Led deep-dive malware investigations, converted reverse engineering output into actionable detections, and improved analyst decision speed through automation-assisted suspicious file triage.
Security Engineer / Static Analysis and Automation Specialist
Built and tuned static analysis logic, automation workflows, and telemetry-driven investigation processes to surface risky code behaviors earlier and reduce manual review overhead.
Threat Research Engineer / Trainer / Threat Story Expert
Produced technical threat narratives, research artifacts, and automation-ready knowledge outputs that helped teams understand adversary behavior, investigation strategy, and cross-domain telemetry patterns.
Network Monitoring Officer
Maintained visibility into network events, handled escalations across routers, switches, and WAN links, and supported disciplined incident workflows for fault isolation and service restoration.
Why Teams Hire Me
I connect analysis depth with systems that other operators can actually use.
I work at the intersection of network engineering, security analysis, and automation execution. The common thread is turning ambiguous security problems into practical workflows, clearer evidence, and more reliable operator decisions.
That means moving beyond isolated analysis into reusable output: triage systems, investigation tooling, deobfuscation workflows, static analysis logic, and infrastructure-aware security processes that improve signal quality without increasing noise. I value fast work, calm execution under pressure, and results that stay consistent when the situation is time-critical.
I am also deeply interested in advanced mathematics, engineering mathematics, and staying current with evolving technology. That matters because the same discipline behind mathematical problem-solving carries into how I break down complex systems, reason through uncertainty, adapt to new tooling, and build structured security workflows that hold up under scrutiny.
Contact
Open to security engineering, technical research, and selective consulting opportunities.
The fastest path is email. If you prefer, use the form below and I will have the message details structured immediately in the email draft.