I'm a multidisciplinary engineer with hands-on experience in:
- 🛡️ Incident Response, Vulnerability Management, SIEM, Endpoint Security
- 🤖 Machine Learning, NLP, Automation (Make.com, n8n), LLM Agents
- ☁️ AWS Cloud Engineering, DevOps Tools, Docker, Terraform
✈️ Avionics, UAVs, Ground Control Systems
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Customer Churn Prediction (ML Classification)
Predicting churn using Kaggle Telco dataset → logistic regression, random forest. -
AI-Driven Restaurant Feedback Analyzer
End-to-end automation (Google Forms → Sheets → Make.com → AI → Email digest) -
Security Awareness NLP Analyzer
Extracting sentiment + topics from training feedback to identify misunderstandings. -
ESP32-C3 OLED IoT Slider
Custom PWM LED controller using SH1106 display on ESP32-C3.
- Multi-Agent Architectures
- Tool Integration (custom & built-in)
- Prompt Engineering & System Design
- RAG Pipelines (Vector DBs, Embeddings)
- LangChain / LangGraph Patterns
- LLMs (Hugging Face, OpenAI)
- Python, SQL, Pandas, NumPy
- ML & DL (CNNs, Time-Series Modeling)
- scikit-learn, Transformers, Evaluation Metrics
- Power BI & Data Visualization
- FastAPI, Streamlit (Model Deployment)
- Docker, Containerization
- AWS (EC2, S3, IAM)
- Prometheus, Logging & Monitoring
- Git, Linux, Bash, VS Code, Jupyter
- Nessus, Nmap, Wireshark
- ISO 27001, SOC 2 (controls & documentation)
- Make.com, n8n, Power Automate
- AI Automation — atomcamp
- Data Science & AI — atomcamp
- AWS Cloud Practitioner
- MS Information Security — Air University
- BS Telecommunication & Networking — COMSATS University
- Cybersecurity (ISC2 CC – ongoing)
LinkedIn: https://www.linkedin.com/in/bilal-akhtar/
GitHub: You’re already here 😊