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anant720/README.md
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$ whoami

┌──(anant㉿sentinel)-[~]
└─$ cat profile.txt

  Name        :  Anant Suthar
  Role        :  Cybersecurity Engineer  |  Security Researcher
  University  :  MIT ADT University, Pune  —  B.Tech CSE (Cybersecurity), 2024–2028
  JEE Rank    :  96.4 Percentile  (Top 3.6% nationally)
  Location    :  Pune, India

  Core Focus  :
     ▸  Threat Detection & SIEM Engineering
     ▸  Application Security & Secure System Design
     ▸  Applied Cryptography & Zero-Knowledge Systems
     ▸  CTF Competitions & Vulnerability Research
     ▸  LLM-Augmented Security Tooling

  Currently   :
     ▸  Engineering Sentinel — a multi-tenant SOC threat detection platform
     ▸  Researching autonomous SOC agents via Reinforcement Learning
     ▸  Building a real-time 3D IP threat globe (Three.js + AbuseIPDB)
     ▸  Actively competing in CTFs  (BSidesSF · DawgCTF · TryHackMe)

  Open To     :  SOC Analyst  |  Security Engineer Intern  |  DevSecOps  |  AppSec

🔐 Security Skills

Offensive & Defensive

Kali Linux Burp Suite Wireshark Nmap Netcat Metasploit

Security Engineering

Threat Detection SIEM IDS/IPS JWT/OAuth2 RBAC Rate Limiting

Cryptography

AES-256-GCM PBKDF2 Zero Knowledge Web Crypto API

AI-Augmented Security

Groq Llama-3 Google Gemini ChromaDB NLP

Networking & OS

TCP/IP Linux OSPF Packet Analysis

🛠️ Supporting Toolchain (click to expand)

Languages used to build security tools

Python TypeScript JavaScript C C++

Backend & infra for security platforms

Node.js Fastify FastAPI PostgreSQL Redis Docker GitHub Actions


🛡️ Security Projects

🔭 Sentinel — Real-Time SOC Threat Detection Platform

Engineered a production-grade, multi-tenant cybersecurity telemetry and detection system — not a tutorial clone, an actual SOC platform.

Architecture:  Ingest API  →  Detection Engine  →  Alert Queue  →  Live Dashboard
Protocol:      Dual-mode — WebSocket (live) + HTTP polling (fallback)
Detection:     14-rule heuristic engine  (brute-force · scanner abuse · auth anomalies)
Targets:       Nikto fingerprints · Dirb scanner patterns · credential stuffing
Multi-tenancy: Per-tenant API keys · RBAC (3 levels) · JWT refresh token rotation
CI/CD:         GitHub Actions → Docker → automated integration tests

View Repo TypeScript Fastify PostgreSQL Redis Docker


🤖 AI Guardian — LLM-Augmented Phishing & Scam Detection Engine

Multi-layered threat classification platform combining LLM reasoning with NLP rule-based analysis. Built and shipped as team lead at IdeaSpark Hackathon 2026.

Accuracy:      93% classification across 510 labeled phishing/scam scenarios
Baseline:      17% (rule-only)  →  Improvement: +76 percentage points
Pipeline:      3 AI integrations  (Llama-3 + Gemini + ChromaDB vector search)
Output:        3-class verdict  —  Safe / Suspicious / Malicious  + risk score
Matching:      Contextual vector similarity against historical phishing patterns
Team:          4-person team lead  |  IdeaSpark Hackathon 2026

View Repo Python FastAPI Llama-3 ChromaDB


🔑 SecurePass Analyzer — Credential Risk & Breach Detection Tool

Password security analysis tool built to quantify and demonstrate real-world credential attack risk.

Scoring:   4-level zxcvbn entropy engine + custom rule layer
Attacks:   Brute-force simulation + dictionary attack mode
Breach DB: Have I Been Pwned API  →  cross-referenced against 600M+ leaked credentials

View Repo Python


🏴 CTF & Vulnerability Research

┌──(anant㉿sentinel)-[~/ctf]
└─$ cat writeups.log

  [2026]  BSidesSF CTF
          ▸  Blockman Builder   —  Pwn / Binary Exploitation
          ▸  Strike-a-Coord     —  OSINT / Geolocation chaining
          ▸  Roar               —  Steganography / ANSI escape analysis

  [2025]  DawgCTF
          ▸  Hardware forensics  —  Recovering specs from Dell parts manifest CSV
          ▸  OSINT chaining      —  Multi-source identification challenge

  Platforms:  TryHackMe  ·  PicoCTF  ·  HackerRank

🔬 Current Research

project     : Autonomous SOC Agent via Reinforcement Learning
description : >
  Designing an OpenEnv-compliant RL environment to train AI agents on SOC analyst
  decision-making — alert triage, incident investigation, and incident response.
grounding   : MITRE ATT&CK framework  (synthetic telemetry generation)
models      : Pydantic schemas · dense reward functions · TRL / GRPO / veRL configs
target      : Meta PyTorch + Hugging Face competition track
status      : Architecture phase

📊 GitHub Stats

  


🎓 Education & Certifications

MIT ADT University, Pune — B.Tech CSE (Cybersecurity Specialization) · 2024–2028

JEE Main 2024: 96.4 Percentile · Top 3.6% nationally across 1.2M+ candidates Relevant: Cybersecurity Essentials · OS · Computer Networks · Cryptography · DSA

Certificate Issuer Focus Area
🔐 Google Cybersecurity Professional Google / Coursera SIEM · Threat Detection · Linux · Python (9-course)
☁️ Google Cloud Computing Foundations Google Cloud architecture · GCP core services
☕ OOP in Java IBM Object-Oriented Programming

[ Open to Cybersecurity Internships · SOC Analyst · Security Engineer · DevSecOps ]


"The quieter you become, the more you are able to hear." — Kali Linux motto

Pinned Loading

  1. AI-GUARDIAN AI-GUARDIAN Public

    🤖 AI Guardian is an AI-powered scam and phishing detection system that analyzes text messages in real time 🔍. It combines machine learning 🧠 with rule-based analysis ⚙️ to classify messages as Safe…

    Python 1 1

  2. Sentinel Sentinel Public

    Sentinel is a professional-grade, multi-tenant cybersecurity monitoring platform. Built with Node.js, Fastify, and React, it features real-time WebSocket telemetry, automated brute-force detection,…

    TypeScript 4