Security Analyst turned AI/ML Developer — 12+ years in SOC operations, now building AI tools for log analysis and threat detection. Built RAG pipelines & ML models to automate what I did manually for 12 years.
Currently completing Applied AI & ML Essentials — IIT Patna.
| Domain | Tools | Used In |
|---|---|---|
| Security Ops | SOC Operations, Incident Response, CCTV | All Security Projects |
| AI / ML | Scikit-Learn, Isolation Forest, Random Forest | Log Anomaly Detection, Stock Predictor |
| AI Tools | LangChain, FAISS, RAG, Qwen 2.5 | AI Content Creator-RAG |
| Visualisation | Streamlit, Plotly, Matplotlib | All Dashboards |
| Dev Tools | Python, Flask, GitHub, VS Code | All Projects |
Detected 200+ suspicious login events in 50K logs using Isolation Forest. Reduced manual review time by 80%.
PythonIsolation ForestStreamlitPlotly
Built fully local RAG pipeline with LangChain + FAISS + Qwen 2.5 for educational Q&A. Zero API cost.
PythonLangChainFAISSQwen 2.5
Random Forest model predicting Nifty Bank BeES ETF prices with 78% directional accuracy on test data.
PythonRandom ForestPandasScikit-Learn
- 📚 Completing Applied AI & ML Essentials — IIT Patna
- 🔧 Building AI-powered SOC automation tools
- 🎯 Open to: AI/ML Internships | Security Data Analyst Roles
Open to AI/ML & Cybersecurity internships starting Jan 2026.
"12 years reading security logs manually. Now I build the tools that do it automatically."