Navtej Singh is a Principal Engineer and seasoned cybersecurity specialist with 14 years of experience in threat intelligence, detection engineering, and vulnerability research across startups and enterprise teams. He has deep hands-on expertise in reverse engineering, malware analysis, exploit development, and kernel-mode work on both Windows and Linux, and has built CTEM capabilities to prioritize and remediate exposures in complex environments. As a founder and technical leader he has led threat-intel platforms and ML/NLP-driven CTI efforts, and contributed backend and DevOps improvements to notable open-source security tooling like certtools/intelmq. He pairs low-level skills in C and x86 assembly with pragmatic automation in Python and observability stacks such as Grafana and Prometheus to enable real-time hunting and monitoring. Notably, he has created custom tooling for IDA Pro, 010 Editor, and ImmunityDBG and brings protocol/file-format fuzzing and IDS/IPS experience to bridge research and production security. Based in Punjab, India, he blends entrepreneurial grit with enterprise-grade threat engineering.
14 years of coding experience
13 years of employment as a software developer
Diploma, Computer Science, Diploma, Computer Science at Thapar Polytechnic
B.Tech, Computer Science, B.Tech, Computer Science at Sant Longowal Institute of Engg. & Tech., Longowal
High School, High School/Secondary Diplomas and Certificates, High School, High School/Secondary Diplomas and Certificates at Sri Dasmesh Academy
IntelMQ is a solution for IT security teams for collecting and processing security feeds using a message queuing protocol.
Role in this project:
Back-end & DevOps Engineer
Contributions:101 commits, 23 PRs, 104 comments in 1 year 2 months
Contributions summary:Navtej primarily contributed to the back-end functionality of the IntelMQ system. They made several changes related to parsers, specifically adding support for new data feeds and modifying existing ones. Additionally, the user worked on enhancing the Elasticsearch output bot by adding features such as key sanitization and field flattening. The user also made changes to infrastructure-related components by adding support for modified pulses and systemd configuration.
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