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Karthik Sethuraman β€” cybersecurity, systems, AI

Cybersecurity undergraduate exploring cryptography, Linux, networking,
and reliable AI systems.


Portfolio LinkedIn Email


I build with AI, not around it.

AI has become part of my engineering workflow β€” from exploring unfamiliar ideas and debugging to prototyping and iteration. I still care about understanding the system underneath, making the design decisions, and knowing when not to trust the model.

Selected Work

EVL β€” Encrypted Virtual Locker

systems / cryptography Β· C OpenSSL Argon2id FUSE

A block-level encrypted file container built in C, combining authenticated encryption, tamper detection, and FUSE filesystem access. Each block's AAD binds its file and position, so reordering or cross-container transplant fails authentication instead of decrypting silently.

πŸ”— Repository

OfferGuard β€” AI recruitment-scam detection

ai / security Β· TypeScript Next.js PostgreSQL pgvector

An AI-assisted recruitment-scam detector combining deterministic red flags, vector retrieval, and quote-verified LLM reasoning. The LLM advises; the final verdict is composed deterministically, and every evidence quote is checked against the source text.

πŸ”— Repository Β· Live Demo

ULPF β€” Universal Log Pre-processing Framework

infrastructure / security data Β· Python Kafka PostgreSQL OCSF Docker

A security-log processing pipeline that preserves raw events, normalizes heterogeneous sources into OCSF, and safely onboards previously unknown formats β€” an SLM proposes candidate parsing rules, validation and human review decide whether they go active. SIH 2026 Β· PS 26156

πŸ”— Repository

Payment Integrity Verifier

application security Β· Node.js TypeScript HMAC-SHA256 Razorpay

A deterministic security verifier for payment webhooks β€” signature validation, server-side amount binding against trusted order state, replay protection, and a tamper-evident hash-chained audit log. The LLM explains decisions; it never makes them. Razorpay AI Buildathon 2026

πŸ”— Repository

Lab β€” currently exploring

Qwen-ATLAS Threat-intelligence retrieval and local LLM reasoning revising
ModelFS AI-assisted filesystem and pre-OS interaction early idea
Sensitive Data Risk Classification Local classification of sensitive content, policy-aware detection ongoing

Stack

Languages C, Python, TypeScript
Systems & Crypto Linux, FUSE, OpenSSL, AES-256-GCM, Argon2id, HKDF, HMAC
Data & Infra PostgreSQL, pgvector, Kafka, OCSF, Docker
AI Retrieval (RAG), local LLMs (Ollama Β· Qwen3), constrained LLM pipelines
Web React, Next.js, Node.js, Express

GitHub Stats

GitHub stats Top languages


Have something interesting to build?
karthiksethuraman6@gmail.com Β· LinkedIn

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  1. evl evl Public

    A block-level encrypted file container using AES-GCM with authenticated metadata.

    C

  2. OfferGuard OfferGuard Public

    AI recruitment-scam detector β€” paste a job offer, get a verdict with verifiable, quoted evidence. Deterministic rules + pgvector retrieval + quote-checked LLM, measured at 98% precision. Next.js ·…

    TypeScript

  3. payment-integrity-verifier payment-integrity-verifier Public

    A deterministic security verifier for Razorpay webhooks featuring an adversarial test suite and a tamper-evident hash-chained audit log.

    JavaScript

  4. ulpf ulpf Public

    Universal Log Pre-processing Framework: normalizes heterogeneous security logs (Syslog/CEF/LEEF/JSON) into OCSF using SLM-assisted rule generation with human review. Built for SIH 2026 (PS 26156).

    Python

  5. manu-1-1/Qwen_ATLAS manu-1-1/Qwen_ATLAS Public

    AI-Powered Threat Intelligence Agent

    Python 2

  6. Preflight Preflight Public

    A dual-model AI Infrastructure Risk & Chaos Engine. Analyzes Terraform to simulate cascading failures using AI

    JavaScript 1