Muhammed Nazal K — Software Engineer
Building observable microservices, AI pipelines, and the infrastructure between them.
A software engineer based in Calicut, focused on distributed backend systems, real-time communication, and AI-powered automation. I care about the invisible architecture that keeps modern platforms reliable, traceable, and fast.

The_Architect
SDLC // Agile
Driven by
systems thinking.
I'm a Computer Science student and software engineer based in Calicut, Kerala — building backend systems, real-time applications, and AI-integrated platforms with a bias toward making everything observable from day one.
I work across the stack but gravitate toward infrastructure: message brokers, tracing pipelines, event-driven architectures, and containerized deployments. Observability is a first-class concern in everything I build, not an afterthought.
"I care about how data moves through a system, not just how it's displayed. Good infrastructure is invisible when it works — and obvious when it doesn't."
I've shipped multiple production-grade platforms from scratch — handling database design, API architecture, Docker orchestration, and full observability stacks across every project.
Featured Platforms.
A curated selection of my most significant technical builds, focusing on distributed systems, observability, and full-stack implementations.

Cognitive Hub Microservices
"A polyglot microservices ecosystem for AI-driven productivity coaching. Asynchronous inter-service communication is handled via Redpanda (Kafka-compatible), while LangChain orchestrates RAG document retrieval against Gemini. Features complete end-to-end observability using Prometheus metrics, Grafana dashboards, and Jaeger distributed tracing.
System Archive.
Technical Arsenal.
Backend Engineering
Event-driven microservices that scale independently, communicate through message brokers, and handle failure gracefully.
AI & Automation
RAG pipelines, LLM-powered bots, and workflow orchestration that turn unstructured data into actionable, structured output.
Observability & DevOps
Full instrumentation across three industry stacks (Classic, ELK, LGTM) — traces, metrics, structured logs, and alert rules — with trace-to-log correlation and dual shipping pipelines.
Full-Stack Platforms
End-to-end products from database design and API architecture to real-time interfaces and cross-platform mobile apps.
Languages
3 toolsBackend Frameworks
3 toolsFrontend & Mobile
4 toolsData & Messaging
5 toolsAI & Automation
5 toolsDevOps & Observability
5 toolsEstablish
Uplink.
Open to building high-performance systems, contributing to engineering teams, and collaborating on projects that push technical boundaries.