Safal Upadhaya
@safalupadhaya
Cyber Threat Hunter and Detection Engineer building high-fidelity detections across Google SecOps, Microsoft Sentinel, and CrowdStrike.
What I'm looking for
I’m a Cyber Threat Hunter and Detection Engineer with 3+ years of hypothesis-driven hunts and detection engineering across Google SecOps (Chronicle), Microsoft Sentinel, and CrowdStrike Next-Gen SIEM. I map findings to MITRE ATT&CK and operationalize CTI into proactive coverage for credential abuse, lateral movement, privilege escalation, and ransomware precursors.
At Cyderes, I expanded multi-cloud threat visibility by researching emerging malware families, phishing kits, and APT TTPs—then turning those insights into production-ready detection and hunt content. I reduced false positives by 25–40% by developing and tuning 100+ high-fidelity rules, while raising detection accuracy through rule lifecycle management, regression testing, and performance tuning.
I also bring a data-science foundation in ML-based anomaly detection and behavioral analytics to strengthen hunting workflows, plus an offensive edge from being ranked Top 300 globally on Hack The Box. From implementing EDR/SIEM/XDR optimizations to building Detection-as-Code (DaC) pipelines with automated CI/CD, I focus on repeatable, high-signal detections that improve investigations and close detection gaps.
Experience
Work history, roles, and key accomplishments
Detection Engineer
Cyderes
Oct 2024 - Present (1 year 8 months)
Led hypothesis-driven hunts for credential abuse, lateral movement, privilege escalation, and ransomware precursors across multi-cloud environments. Built 100+ MITRE ATT&CK-mapped detection rules in Microsoft Sentinel (KQL) and Google SecOps (YARA-L), reducing false positives by 25–40% and operationalizing CI/CD-based Detection-as-Code pipelines.
Cybersecurity Specialist
Microland
Jul 2022 - Jul 2024 (2 years)
Performed proactive threat hunting and IOC/TTP analysis on endpoint and network telemetry to surface early-stage intrusions and insider-threat patterns. Implemented and optimized EDR/SIEM/XDR controls, increasing detection accuracy by 70%, cutting response time by 30%, and improving phishing detection by 25% using Darktrace and enrichment tooling.
Machine Learning Engineer
HighRadius
May 2021 - Jun 2022 (1 year 1 month)
Built ML models for anomaly detection and classification that were later applied to behavioral threat hunting and security analytics. Developed a patented system to classify enterprise ERP transaction categories and reduced model deployment time by creating reusable data pipelines and preprocessing tooling.
Education
Degrees, certifications, and relevant coursework
Lovely Professional University
Bachelor of Technology (B.Tech), Computer Science & Engineering (Cybersecurity Specialization)
2018 - 2022
Completed a B.Tech in Computer Science & Engineering with a Cybersecurity specialization at Lovely Professional University (2018–2022).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/ParanoiaSamuraiJob categories
Skills
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