I'm a Computer Science undergraduate specializing in Cybersecurity, with a particular interest in offensive security, and systems-level programming. My work sits at the intersection of breaking systems to understand them and building tools that make them harder to break.
- Pursuing a B.Tech in Computer Science and Engineering (Cyber Security) at Amrita Vishwa Vidyapeetham, Coimbatore
- Research focus on Active Directory attack paths and detection engineering most recently, I reproduced the "BadSuccessor" delegated Managed Service Account privilege-escalation vulnerability in an isolated lab environment and authored the corresponding Sigma detection rules, since no mainstream EDR/SIEM covers it
- Equally engaged in systems programming, having built a compiler in C that emits native x86-64 assembly through a custom 7-stage pipeline, including a register allocator and dedicated optimization passes
- Exploring applied AI, particularly multi agent pipelines for automating regulatory and compliance analysis
- Currently working toward the HTB Certified Penetration Testing Specialist (CPTS) certification
- 1st Place, ANVIL Hackathon (Scaler School of Technology)
Languages
Security & Tools
Coursework: Data Structures & Algorithms · Operating Systems · Computer Networks · AI/ML · DBMS · OOP · SQL · Distributed Systems · Cryptography · Network Security · Cyber Forensics
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dMSA BadSuccessor Detection Lab Reproduced the "BadSuccessor" delegated Managed Service Account privilege-escalation flaw and its "Ouroboros" variant in an isolated Windows Server 2025 AD lab escalating from delegated OU rights to Domain Admin. Wrote Sigma detection rules with Wazuh/Splunk equivalents, since no mainstream EDR/SIEM catches this attack out of the box.
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QuantumLang Compiler A compiler written in C for a custom language, emitting native x86-64 assembly through a 7-stage pipeline no external libraries. Includes a register allocator that reuses registers across forward references, plus optimization passes for instruction fusion and simulated annealing scheduling, benchmarked against a greedy baseline.
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SPECTRE — Contract Compliance Automation A multi-agent LangGraph pipeline that checks contract clauses against the DPDP Act 2023, GDPR, and RBI guidelines, then opens GitHub PRs with suggested redlines. Includes a reflection loop, a Gemini + heuristic validation layer, and an RSS watcher that re-triggers analysis when regulations change.
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A modular OSINT framework that analyzes phone numbers, SIP logs, and domains to detect spoofing, VoIP scams, and suspicious communication patterns generating threat scores and summaries.
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Currently sharpening my offensive security skills toward HTB CPTS — always open to collaborating on security research, low-level systems projects, or AI-agent tooling.