Shubham Nayak

About Shubham Nayak

As a CTI Researcher & Threat Intelligence Analyst, I focus on building and automating data ingestion pipelines that monitor and analyze threat activity across the dark web and Telegram. My core focus areas include Stealer Logs and ULPs tracking, Clearnet and Darknet forum monitoring, and real-time data enrichment using OSINT tools. I use python scripting to streamline data parsing, web scrapping and indexing workflows, pushing structured data into high-performance databases like ClickHouse and Elasticsearch to support SOC defenders and optimize monitoring capabilities.I have a strong foundation in physics, where I focused on mathematical modeling, numerical methods, and computational tools like MATLAB. This background sharpened my analytical thinking and helped me develop a scientific approach to pattern recognition, threat correlation, and decision making logic in cyber investigations.I\'m interested in threat actor behaviour their patterns of exploitation and building scalable analytical systems that adapt to evolving attack surfaces especially Telegram. What keeps me going is the challenge itself of uncovering signal in chaos connecting dots across the surface and dark web to bring coherency in cyber operations.

Experience

1. Cyber Threat Hunter

   TechOwl

   Mar 2025 — Present

   Working on automating threat intelligence collection from telegram and dark web ecosystem using python. Focused on tracking stealer logs, parsing sensitive data, and indexing it into cloud DB like Clickhouse for fast search and analysis. Integrated OSINT tools to enrich context around leaks. Actively monitoring top dark web forums for real-time discovery of leaked credentials, PII and threat actor chatter across underground ecosystems.

Education

• OP Jindal University

  Master's degree, Physics

• OP Jindal University

  Bachelor's degree, Physics

  2020 — 2023