Revix Labs
@revixlabs
Senior software engineer building production cybersecurity AI platforms with edge inference and reliable data pipelines.
What I'm looking for
I’m a senior software engineer with 10+ years building production cybersecurity platforms, backend systems, ML pipelines, and large data ingestion infrastructure. I focus on delivering complex AI powered products from architecture through production deployment.
I specialize in malware analysis, edge inference, asynchronous processing, and high volume data systems—turning raw files into actionable intelligence. I’ve led efforts that improve system throughput, reliability, and overall operational performance.
As Lead Software Engineer / AI/ML Engineer at PCEF, I developed and deployed AURA, a lightweight neural network malware classifier using normalized PE file features and TensorFlow Lite for edge devices. I built and scaled Traceix, an AI powered cybersecurity analysis platform serving 18k+ monthly users, processing 250k+ monthly requests, and supporting 500+ agents.
Earlier at Internet 2.0, I architected and built a cloud native malware analysis platform processing 12,000+ daily submissions with 99.99% uptime, and reduced backend task execution time by 80% using optimization, caching, load balancing, and resource aware scheduling. I also hired, mentored, and led a team of 6+ engineers while building scalable ingestion, unpacking, classification, metadata extraction, and reporting pipelines.
Experience
Work history, roles, and key accomplishments
Lead Software Engineer
PCEF
May 2025 - Present (1 year 2 months)
Developed and deployed AURA, a lightweight neural network malware classifier using normalized PE file features and TensorFlow Lite for edge devices. Built and scaled an AI-powered cybersecurity analysis platform with high-volume ingestion, asynchronous enrichment workflows, and production APIs for long-running tasks.
Senior Software Engineer
Internet 2.0
Feb 2019 - May 2025 (6 years 3 months)
Architected and built a cloud-native malware analysis platform processing 12,000+ daily submissions with 99.99% uptime. Improved backend task execution time by 80% through optimization, caching, load balancing, and resource-aware scheduling, and built scalable ingestion, unpacking, classification, metadata extraction, and reporting pipelines.
Education
Degrees, certifications, and relevant coursework
Grays Harbor College
Associate’s in Business, Business
Completed an Associate's program in Business at Grays Harbor College.
U.S. Army
25D Cyber Network Defender, Cyber Network Defense (25D)
Completed U.S. Army 25D Cyber Network Defender training.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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