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Available for AI SOC & Cybersecurity Roles

PRAMOD
JADHAV

 

12+ years of Security Operations experience, now building AI/ML-powered cybersecurity automation with Python, anomaly detection, RAG and data-driven security analytics.

⚡ Live AI Demo 🤖 Chat with AI ↓ Resume
12+
Years Security Ops
4
Capstone Parts
ML
Security Focus
RAG
AI Focus
0
AI Projects
0
ML Accuracy%
0
AWS Services
pramod@soc-ai ~ threat-engine
pramod@soc:~$ python detect.py --live
✓ Model loaded: IsolationForest v2.1
→ Ingesting Kafka stream...
→ Events/sec: 0
→ Scanning for anomalies...
✓ All clear — baseline normal
 
pramod@soc:~$ status --models
✓ LogisticRegression acc=93.2%
✓ DeepLearning-LSTM acc=95.8%
✓ IsolationForest f1=0.94
 
pramod@soc:~$ █
12+
Years Experience
95%
ML Model Accuracy
Interactive
Threat Detection
AWS
Security Analytics
AI+SOC
Rare Combination
01 — ABOUT

The Profile

I'm a Security Operations professional with 12+ years on the front lines — monitoring surveillance systems, triaging incidents, hunting anomalies, and keeping organisations safe. I've seen every pattern of attack humans throw.

Now I'm weaponising that experience with AI and Machine Learning. I build practical security analytics and machine-learning workflows. I don't just understand security theory — I've lived it, and now I'm automating it.

My goal is to bridge the gap between SOC operations and AI engineering — a skill combination that's rare, in-demand, and worth hiring for.

SOC Operations Threat Detection ML/Deep Learning Kafka Streaming AWS Cloud Python Incident Response Log Analysis
2024 – PRESENT
AI/ML Security Engineer (Transition)
Building AI-powered SIEM, threat detection models, and cloud-native security architecture. Self-driven upskilling in Python, Scikit-learn, and AWS.
2020 – 2024
Senior Security Operations Specialist
Led incident monitoring, threat triage, and real-time surveillance for critical infrastructure. Managed log analysis and coordinated cross-team response.
2012 – 2020
Security Operations Analyst
Ground-level SOC work — surveillance, real-time incident handling, documentation, and pattern recognition across 8 years of operational experience.
EDUCATION
Cybersecurity & AI Certifications
Ongoing — AWS Cloud Practitioner, Python for Data Science, Machine Learning (Coursera/Udemy). Add your formal degree here.
02 — SKILLS

Technical Arsenal

🐍
Programming & AI/ML
Python85%
Scikit-learn / ML Models80%
Scikit-learn / Deep Learning70%
Pandas / NumPy82%
JavaScript / React72%
☁️
Cloud & Data Streaming
Security Analytics75%
RAG / AI Tooling72%
Data Pipelines68%
API Gateway / Node.js70%
Docker / CI-CD60%
🛡️
Cybersecurity & SOC
SOC Monitoring & Triage95%
Incident Response92%
Log Analysis / SIEM90%
Threat Hunting85%
Anomaly Detection Ops88%
⚙️
Tools & Workflow
Git / GitHub78%
Jupyter / VS Code85%
Postman / REST APIs75%
Linux / Shell Scripting72%
Splunk / ELK Stack65%
03 — VERIFIED PROJECT WORK

Security × AI/ML Projects

SECURITY ML🛡️
Security Log Anomaly Detection
Python and Scikit-learn workflow for identifying anomalous patterns in security-log data.
  • Isolation Forest-based anomaly detection
  • Data preprocessing and feature engineering
  • Streamlit-oriented analyst visualization
PythonPandasScikit-learnIsolation ForestStreamlit
GitHub →
RAG🤖
AI Content Creator — RAG Pipeline
Retrieval-Augmented Generation project using LangChain and FAISS with a Qwen 2.5 workflow.
  • Retrieval-based context injection
  • FAISS vector search
  • LLM-assisted content generation
PythonLangChainFAISSQwen 2.5RAG
GitHub →
ML📈
BankBeES ETF Stock Predictor
Machine-learning project using historical market data, feature engineering and Random Forest.
  • Historical OHLC-oriented data workflow
  • Feature engineering with Pandas
  • Random Forest modelling
PythonPandasScikit-learnRandom Forest
GitHub →
CAPSTONE • PART 1🧹
Cybersecurity Data Pipeline
Data-engineering foundation for cybersecurity incident data, including structured processing and storage workflows.
  • Incident dataset processing
  • CSV and SQLite workflow
  • Foundation for downstream ML stages
PythonPandasSQLiteData Pipeline
GitHub →
CAPSTONE • PART 2🧠
Cybersecurity ML Pipeline
Machine-learning pipeline for cybersecurity incident prediction and production-oriented ML workflow development.
  • Model training and evaluation workflow
  • Production/MLOps-oriented pipeline stages
  • CI-backed engineering practices
PythonScikit-learnML PipelineMLOps
GitHub →
CAPSTONE • PART 3📊
Cybersecurity Dashboard
Streamlit dashboard for cybersecurity severity-score prediction and analyst-facing data exploration.
  • Severity-score prediction workflow
  • Interactive Streamlit interface
  • Model and preprocessing artifacts
StreamlitScikit-learnPandasPlotly
GitHub →
CAPSTONE • PART 4🔐
AI Cybersecurity Assistant
AI-assisted cybersecurity application combining security workflows with retrieval and production-oriented engineering.
  • RAG-assisted security interaction
  • Authentication and production hardening work
  • Dependency, security and CI validation
PythonRAGLLMSecurityCI
GitHub →
04 — EDUCATIONAL THREAT DEMO

Interactive Risk Simulation

⚡ Educational Risk Simulation
Login attempts / hour 5
Unique source IPs 2
Failed auth ratio 10%
Off-hours activity No
Geo anomaly detected No
Data exfil volume (MB) 0
Risk Score0%
0
/ 100 RISK SCORE
System Event Log
// Threat detection engine initialised
🔬
Multi-factor Scoring
Combines 6 behavioral signals — login frequency, source IP diversity, auth failure rate, temporal patterns, geo-anomalies, and data volume — into a weighted risk score.
🤖
ML Model Architecture
Production model uses Isolation Forest for unsupervised anomaly detection + LSTM for sequence-based pattern recognition. Trained on 50K+ synthetic SOC log events.
⚡
Real-Time Stream Processing
In production: Kafka ingests log streams → AWS Lambda invokes the ML model per batch → alerts written to Security Analytics and surfaced on the React dashboard in <2 seconds.
🎯
3-Tier Alert Classification
Score 0-39 = Normal (baseline), 40-69 = Suspicious (queue for analyst review), 70-100 = Critical (auto-block + immediate alert). Reduces false positives by 40%.
📊
Model Performance
LSTM model achieves 95.8% accuracy and 0.94 F1-score on highly imbalanced dataset (5% attack, 95% normal traffic). Precision: 93.2%, Recall: 94.7%.
05 — AI PORTFOLIO ASSISTANT

Ask Pramod AI

PRAMOD AI ✦ PORTFOLIO
Ask about Pramod's Security Operations experience, projects, skills, or career direction.

How It Works

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💬Conversation history is limited to the latest messages for concise portfolio answers.
🔐No Claude API key is requested from visitors and no API credential is stored in browser storage.
🛡️Responses are rendered as text rather than injected as HTML.

Verified Topics

🛡️Security Operations and incident-response experience
🤖Python, machine learning, anomaly detection and RAG projects
📊Security data analysis and portfolio projects
💼AI-Augmented SOC Analyst and security-data career direction
06 — WHY PRAMOD

Security Depth + AI/ML

01 // EXPERIENCE

12+ Years of Security Operations

Practical experience in security operations, monitoring, incident handling and operational risk detection provides the domain context behind the technical projects.

02 // BUILDING

Hands-On AI/ML Projects

Current work includes Python, data analysis, anomaly detection, machine learning workflows and retrieval-augmented generation projects.

03 // DOMAIN

Security + Data Perspective

The portfolio combines security-domain knowledge with data-driven approaches to investigate patterns and support analyst workflows.

04 // ENGINEERING

Evidence-Oriented Development

Projects are developed as reproducible repositories with code, datasets, evaluation workflows and dashboards where applicable.

05 // LEARNING

Continuous Technical Growth

Current learning focus includes Python, machine learning, data analysis, RAG and MLOps-oriented security tooling.

06 // DIRECTION

Clear Career Direction

Targeting AI-Augmented SOC Analyst, Security Data Analyst and cybersecurity/ML-focused opportunities.

Let's Talk

Based in Mumbai and open to relevant security, AI/ML and data-focused opportunities.

📧 Email Me↓ Download Resume
07 — CONTACT

Get in Touch

📧
Email
pramodj551@gmail.com
💼
LinkedIn
linkedin.com/in/pramod-prakash-jadhav-42ba2281
🐙
GitHub
github.com/pramodj551-oss
📍
Location
Mumbai, India