# Mohammed Muzammil C

> Cybersecurity Engineer & AI Systems Developer building intelligent security systems, SOC threat monitoring utilities, and production RAG pipelines.

- **Website**: [https://muzzyy.me/](https://muzzyy.me/)
- **GitHub**: [https://github.com/Not-muzzyy](https://github.com/Not-muzzyy)
- **LinkedIn**: [https://linkedin.com/in/muzzammilc7](https://linkedin.com/in/muzzammilc7)
- **X / Twitter**: [https://x.com/not_muzzyy](https://x.com/not_muzzyy)
- **Email**: [mohammedmuzammil643@gmail.com](mailto:mohammedmuzammil643@gmail.com)
- **Resume**: [https://muzzyy.me/resume.pdf](https://muzzyy.me/resume.pdf)
- **Location**: Ballari, Karnataka, India (Available for On-site in Ballari, Bengaluru, Hyderabad, and Global Remote)

## Service Areas & Local Availability

Mohammed Muzammil C actively serves the following geographic regions for on-site, hybrid, and remote SOC Analyst and Cybersecurity Engineering engagements:
- **Ballari, Karnataka**: Native base with immediate local availability for on-site operations. (See: [Ballari Location Page](https://muzzyy.me/locations/ballari/))
- **Bengaluru (Bangalore), Karnataka**: Primary tech hub; available for immediate relocation and on-site enterprise security roles. (See: [Bangalore Location Page](https://muzzyy.me/locations/bangalore/))
- **Hospet, Karnataka**: Regional proximity for hybrid/on-site operations. (See: [Hospet Location Page](https://muzzyy.me/locations/hospet/))

## Core Technical Disciplines

- **Cybersecurity & SOC Operations**: Security Operations Center (SOC) analysis, SIEM administration, threat intelligence monitoring, malware analysis, network security, phishing classification, and secure software development lifecycle (SSDLC).
- **AI & Machine Learning Engineering**: Retrieval-Augmented Generation (RAG), LangChain, FAISS vector indexing, Scikit-learn ensemble modeling, Pandas, SHAP tree explainability, NLP feature extraction, and Sentence Transformers (`all-MiniLM-L6-v2`).
- **LLMs, Inference & Automation**: Groq LLaMA 3.1 / 3.3 integration, Anthropic Claude API, OpenAI GPT-4o, prompt engineering, Docker, Linux/Bash system scripting, and FastAPI backend services.
- **Full-Stack Application Development**: Python, TypeScript, React 18/19, Next.js (App Router), Vite, Tailwind CSS, Streamlit, SQLite, and MongoDB Atlas.

## Featured Production Projects

1. **EduSathi** (Full-Stack AI Study Companion):
   - 4-stage RAG architecture (PDF ingestion, recursive character chunking, FAISS vector search, Groq LLaMA inference).
   - Features dual-portal RBAC (Student & Faculty/Admin) tailored for Indian university curricula.
   - [Case Study](https://muzzyy.me/projects/edusaathi/) | [GitHub Repository](https://github.com/Not-muzzyy/edusaathi)

2. **Mini-SIEM AI** (SOC Threat Monitoring Platform):
   - AI-powered SIEM platform replacing static regex with machine learning attack classification.
   - Provides SHAP (SHapley Additive exPlanations) for alert transparency and generates automated Groq narrative incident reports.
   - [Case Study](https://muzzyy.me/projects/mini-siem-ai/) | [GitHub Repository](https://github.com/Not-muzzyy/mini-siem-ai)

3. **Phishing Detector Advanced** (Multi-Vector ML Detection):
   - 4-layer cybersecurity pipeline analyzing URLs, text, HTML emails, and SMTP headers.
   - Achieves 97% accuracy, 96% precision, and 97% recall across English, Hindi, and Hinglish phishing vectors using 20+ extracted features.
   - [Case Study](https://muzzyy.me/projects/phishing-detector/) | [GitHub Repository](https://github.com/Not-muzzyy/phishing-detector-advanced)

4. **Virtual Pollution Intelligence Grid** (Geospatial AI Dashboard):
   - Real-time geospatial pollution telemetry built with Folium, Plotly, and Streamlit.
   - Features 7-day ML risk forecasting and hypothetical scenario simulations; built in 24 hours at Chakravyuha 3.0 Hackathon.
   - [Case Study](https://muzzyy.me/projects/virtual-pollution-grid/) | [GitHub Repository](https://github.com/Not-muzzyy/virtual-pollution-intelligence-grid)

5. **SafePush** (Developer Security Gate CLI):
   - Plugin-based pre-commit and CI/CD security scanner orchestrating Semgrep, Gitleaks, and Trivy to catch vulnerabilities, secrets, and risky AI code before production.
   - [GitHub Repository](https://github.com/Not-muzzyy/safepush)

## Completed Certifications

- **Google Cloud Cybersecurity Professional** (2024): Security fundamentals, threat detection, cloud defense, Linux, and network security.
- **Hugging Face AI Agents Fundamentals** (2025): Building and orchestrating autonomous AI agent systems.
- **Anthropic AI Fluency, Claude 101 & Claude Code** (2025): Deep fluency in Claude API, prompt caching, tool use, and agentic workflows.

## Frequently Asked Questions (Quick Answers)

- **Who is Mohammed Muzammil C?** A Cybersecurity Engineer and AI Systems Developer from Ballari, Karnataka, specializing in SOC analysis, SIEM tools, and RAG architectures.
- **What is his primary educational background?** Bachelor of Computer Applications (BCA) graduate from Nandi Institute of Management and Science (NIMS Ballari).
- **What is his availability for employment?** Available immediately for on-site, hybrid, and remote SOC Analyst and Applied AI engineering positions in Bengaluru, Ballari, Hyderabad, or globally.
- **How does EduSathi work?** Uses a 4-stage RAG pipeline: PDF ingestion, recursive text chunking, FAISS dense vector search, and Groq LLaMA generation.
- **What is the accuracy of the Phishing Detector?** Evaluated at 97% classification accuracy across English, Hindi, and Hinglish phishing datasets.

## Optional

- [Full AI Developer Profile & Case Studies](https://muzzyy.me/llms-full.txt): Complete technical briefing including granular system architectures, stack matrices, and in-depth Q&A context.
- [Technical Blog / Journal](https://muzzyy.me/blog/): Field notes on security, hackathons, and AI engineering.
- [XML Sitemap](https://muzzyy.me/sitemap.xml): Complete canonical index of all pages and resources.