n8n
LangChain/LangGraph
Qdrant
RAG/CAG
.NET 10 (AOT)
DDD/CQRS
Grafana/Prometheus
System Health Score
99.98%
Qdrant Indexing Latency
12ms
Active AI Agents (n8n)
24 Active
Memory Usage (.NET AOT)
45MB / Pod
Cluster Nodes (v1.16.3)
Node 1
UP
Node 2
UP
Node 3
UP
Total Vectors
24.7K
Collections: 3 (Midjourney, Docs...)
REST API Latency (Avg
& Max)
● LIVE
Avg Query: 2.68 ms
Max Query: 4.27 ms
Scroll: 4.27 ms
.NET 10
Clean Architecture
Native AOT
Docker
Multi-Tenancy
HybridCache
MIT License
Node.js
NPM
TypeScript
CLI
AI Tooling
LangChain
LangGraph
A2A Protocol
MCP
Python
Production
Go
LLM Integration
Bitbucket API
Jira
CI/CD
Production
MCP Protocol
SASE
Zero Trust
.NET
Angular
Enterprise
ESP32
Embedded C/C++
MQTT
AI Integration
Smart Home
Smart Traffic
Orchestration: n8n (Advanced Workflows), LangChain, LangGraph
LLM Tech: RAG, CAG (Cache Augmented), Prompt Engineering
Vector DB: Qdrant (Optimization & Scaling)
.NET Ecosystem: C# (Deep Dive), .NET 8/9/10 Preview, Native AOT
Architecture: Microservices, Clean Arch, DDD, CQRS, Event-Driven
Performance: Memory Management, Concurrency, Async/Await patterns
Monitoring: Grafana (Full Stack Dashboards), Prometheus, ELK
Infra: Docker, K8s, Nginx, CI/CD Pipelines
CV Libraries: OpenCV, PaddleOCR, Dlib
LLM Models: LLaMA, DeepSeek, GPT Integration
Applications: eKYC, AutoGate OCR, Face Recognition
Frameworks: Angular, React Native, TypeScript
Integration: REST/gRPC, Kafka, RabbitMQ, N8N
Web3: Web3.js, EVM smart contracts (learning)
Security: SonarQube, Nessus, WAF, SASE, Zero Trust
Quality: Static Code Analysis, JWT, Identity Management
AI Security: AI-based threat detection, Automated vulnerability scanning
Hardware: ESP32, Arduino, Sensor Fusion
Protocols: MQTT, WebSocket, BLE, I2C/SPI
Applications: Smart Home, Smart Traffic, Edge AI Inference
Consulting: Enterprise Solution Design, Technology Assessment, Migration Strategy
Architecture: Clean Architecture, Event-Driven, CQRS/DDD, Multi-Tenancy
Leadership: Technical Roadmap, Team Mentoring, Stakeholder Communication