Building production AI/ML systems — real-time computer vision, RAG chatbots, MLOps pipelines, facial recognition, and payment systems.
| # | Title | Date | Reading Time | Tags |
|---|---|---|---|---|
| 1 | Building a Real-Time Driver Drowsiness & Identity Monitoring System | 2026-06-10 | 12 min | computer-vision yolo deep-learning |
| 2 | Implementing a RAG Chatbot with LangChain and ChromaDB | 2026-06-15 | 14 min | rag langchain llm |
| 3 | MLOps: From Training to Production — An End-to-End Pipeline | 2026-06-20 | 15 min | mlops mlflow docker devops |
| 4 | AI-Powered Facial Recognition Attendance System | 2026-06-25 | 10 min | facial-recognition opencv python |
| 5 | Building a Stripe Payment & Subscription Management System | 2026-07-01 | 12 min | stripe payments nodejs webhooks |
Computer vision pipeline combining YOLOv8 face detection, EAR/MAR drowsiness metrics, and identity verification streamed over WebSocket. Achieved 94.7% drowsiness detection accuracy and 45ms end-to-end latency.
Complete RAG pipeline: document ingestion, vector embeddings via OpenAI, ChromaDB storage, semantic retrieval, and LLM-powered generation with conversation memory.
End-to-end MLOps pipeline using MLflow for experiment tracking and model registry, Docker for containerization, GitHub Actions for CI/CD, and Prometheus for production monitoring with drift detection.
Real-time attendance system using OpenCV, face_recognition library, and SQLite. Enrolled 50 students with 96.8% recognition accuracy and automatic duplicate prevention.
Node.js integration with Stripe covering Checkout sessions, customer management, webhook handling, subscription lifecycle (upgrade/downgrade/cancel/reactivate), and failed payment recovery.
| Tag | Posts |
|---|---|
computer-vision |
#1, #4 |
deep-learning |
#1 |
yolo |
#1 |
rag |
#2 |
langchain |
#2 |
llm |
#2 |
mlops |
#3 |
mlflow |
#3 |
docker |
#3 |
devops |
#3 |
facial-recognition |
#4 |
opencv |
#4 |
python |
#1, #2, #4 |
stripe |
#5 |
nodejs |
#5 |
webhooks |
#5 |
Hi, I'm Syed Roohan Ali Rizvi — a software engineer and ML enthusiast building production-grade AI systems. I write about real-world implementations, not just theory.
- GitHub: roohan-514
- Topics: Computer Vision, NLP, MLOps, Backend Engineering
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This work is licensed under the MIT License.