[PROFESSIONAL_QUALIFICATIONS]
Professional Experience & Qualifications
Documented career progression in digital forensics and incident response
[2024 – Present]
Incident Response Analyst
Pfizer – Collegeville, PA
Respond to live global cybersecurity threats targeting Pfizer's environment using industry-standard SOAR, SIEM, and EDR tools
Perform analysis on incidents using log analysis, collected forensic data, and endpoint security tools
Identify malicious and benign incidents using process trees, browser history, OS event logs, email logs, and past user behavior
Create threat detections for endpoints and email filters based on incident indicators of compromise using tools such as Yara-L
Serve as an North American region lead during red/purple team engagements, coordinating with the 3rd-party pentesting team
Develop evidence collection automation script for artifact collection capabilities for Linux systems
Incident Response
Yara/Yara-L
EDR
SOAR
SIEM
Log Analysis
[2025 – Present]
Volunteer
Skull Games Solutions – Remote
Training under the Skull Games Task Force to assist law enforcement in identifying predators and their victims using Open-Source Intelligence (OSINT)
Open-Source Intelligence (OSINT)
[2023 – 2024]
Digital Forensics Teaching Assistant
Rochester Institute of Technology – Rochester, NY
Worked as a teaching assistant for the undergraduate and graduate Computer System Forensics class at RIT
Assisted students with digital forensics lab exercises using tools such as FTK Imager, Volatility, Autopsy, LiME, and EnCase
Worked with students of various skill sets and backgrounds to achieve learning goals
FTK Imager
Volatility
Autopsy
LiME
EnCase
[2022 – 2022]
Professional Services Consulting Intern - Extended Expertise
Palo Alto Networks – Remote
Collaborated with my team to create a tool that automates the process of generating "As-Built" documentation
Reduced the amount of time needed to generate documentation to be less than 2 minutes per document
Designed the Docker implementation for services used to run a multi-service platform
Docker
Python
[2021 – 2021]
GenCyber Summer Camp Instructor
Rochester Institute of Technology – Remote
Designed high-school cyber security curriculum (Intro. to Cyber, Intro. to Python, Cryptography, Steganography, Forensics)
Taught 20 8-12th grade students cyber security basics over 5 days
Cyber Security
Python
Cryptography
Steganography
Digital Forensics
[INDUSTRY_CERTIFICATIONS]
Industry Certifications & Training
Recognized certifications and training in digital forensics and incident response
Certified
Training
In Progress
GIAC Certified Forensic Analyst (GCFA)
SANS Institute – April 2025
FOR508: Advanced Incident Response, Threat Hunting, and Digital Forensics
Eric Zimmerman (SANS Institute) – December 2024
[RESEARCH_PROJECTS]
Research Projects & Publications
Academic research projects and publications in digital forensics and incident response
[2024]
Utilizing Large Language Models in Forensics to Enhance Investigation Efficiency and Accuracy
Rochester Institute of Technology (RIT) – Rochester, NY
Expedited a digital forensics investigation process using a specialized Large Language Model and a series of quantitative measures (Consistency, Accuracy, and Guidance) for evaluating model results
Determined custom model performed as good as ChatGPT 3.5 in Accuracy and Guidance and as good as Llama 2 70B in Consistency, and outperformed ChatGPT 3.5 in Consistency and Llama 2 70B in Accuracy and Guidance
Determined a greatest accuracy of 88% and guidance of 89% are impressive, but are insufficient in assisting a digital forensics investigation in a professional setting
Investigated the application of large language models (LLMs) in digital forensics to improve the efficiency and accuracy of investigations
Developed a framework for integrating LLMs into forensic analysis workflows, including data preprocessing, model fine-tuning, and result interpretation
Evaluated the performance of various LLM architectures on forensic tasks such as log analysis, malware classification, and threat intelligence extraction
Digital Forensics
Large Language Models (LLMs)
Llama2
ChatGPT
[2021]
Multimodal Emotion Recognition with Surgical and Fabric Masks
New York Institute of Technology (NYIT) – New York, NY
Conducted research as part of an NSF funded Research Experience for Undergraduates program for the New York Institute of Technology
Determined the impact of surgical and fabric masks on multimodal emotion recognition using facial and vocal cues
Worked independently to determine how masks impact interpersonal communication with machine learning techniques
Determined wearing a mask reduces effective communication by ~13-15%
Collected and annotated a dataset of masked facial expressions and vocal recordings for emotion recognition research
Evaluated the performance of state-of-the-art emotion recognition models on masked data
Machine Learning
Speech Recognition
openSMILE
CREMA-D
Python
LaTeX
[INDUSTRY_CONFERENCES]
Industry Conferences
Participation in industry conferences related to cybersecurity, digital forensics, and incident response
ShmooCon
2025, 2023, 2022
BSides
2025 (ROC, 312), 2024 (NYC, ROC)
DEF CON
2025
THOTCON
2025
Black Hat, DistrictCon
I want to go!