About
Cybersecurity Engineer with hands-on internship experience in SOC operations, defensive architecture, and AI-driven threat detection. Designed and shipped RAM-SOC — a production-grade RAG multi-agent framework — that automated incident triage and reduced manual alert processing by 30%. Proven across ELK Stack pipeline management, MITRE ATT&CK mapping, and Python-driven security automation. Ready to immediately own L1/L2 incident response, threat hunting, and detection engineering from day one.
Skills & Expertise (26)
Work Experience
Cybersecurity Intern
NIT Srinagar
Jan 2026 - Present
Designed and engineered RAM-SOC, a local RAG and multi-agent pipeline that automated log correlation and alert routing, eliminating ~30% of manual triage bottlenecks across the SOC incident lifecycle. Reduced incident investigation time by ~25% by building a natural-language log querying interface that removed syntax barriers and maximised analyst throughput. Mapped 100% of ingested alerts to the MITRE ATT&CK matrix at ingest time, driving Mean Time to Respond (MTTR) from minutes down to seconds. Maintained zero data loss under peak enterprise event loads by architecting high-volume ELK Stack ingestion pipelines with structural parsing controls. Expanded threat detection coverage by 40% using ML and LLM-backed correlation to surface multi-stage adversary patterns (lateral movement, persistence TTPs) missed by legacy rules.
Cybersecurity Training Intern
Industry Internship
Jun 2025 - Jul 2025
Conducted structured network vulnerability assessments using Nmap and Wireshark across 50+ live enterprise endpoints, identifying and mapping critical security gaps. Authored three detailed penetration-testing remediation reports covering 15+ exploitable vulnerabilities, each with clear, executive-ready mitigation roadmaps. Analysed 10 GB+ of real-world PCAP capture data to surface malicious indicators of compromise (IOCs) and strengthen defensive baseline metrics.
Python Automation Intern
Industry Internship
Jul 2024 - Aug 2024
Built 10+ enterprise-grade Python automation scripts that eliminated data-processing bottlenecks and saved 15+ hours of manual report compilation work each week. Established a scripting baseline capable of processing 10,000+ mock security entries daily, later scaled to power automated alert-enrichment modules within RAM-SOC.
Education
B.Tech — Computer Science and Engineering - Sant Baba Bhag Singh University
2023 - 2026 · Afghanistan
Diploma — Computer Science and Engineering - Government Polytechnic College
2020 - 2023 · Afghanistan
Certifications
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Citizen
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Skills (26)
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