Muhammed Nazal K — Systems · Product · AI
Designing resilient architectures, practical AI, and product-first software.
Based in Kannur, India. Currently pursuing a BS in Data Science at IIT Madras. I build observable architectures, real-time pipelines, and intelligent tools that solve concrete problems.
Driven by systems.
Thinking in products.
Most software challenges aren't syntax problems — they are systems and product problems. I care about how data moves, how components behave under failure, and whether what's being built solves an actual human need. Great engineering isn't about accumulating complexity; it's about designing architectures so simple and predictable that they feel invisible.
I work where systems engineering meets product management and applied AI. Rather than chasing hype, I focus on real utility: designing dependable backend foundations, building intelligent features that actually solve user friction, and owning problems end-to-end with clarity and simplicity.
Background &
Credentials.
BS in Data Science and Applications
Indian Institute of Technology Madras (IIT Madras)
Enrolled May 2026 · 4-Year Program
Foundational and applied coursework spanning mathematics, computational thinking, statistical inference, and machine learning systems.
Full Stack Development & Software Engineering
Brototype
Completed February 2026
Intensive, project-driven software engineering program covering distributed backends, systems design, microservices, and modern frontend architectures.
Selected Work.
A curated selection of projects focusing on distributed systems, observability, AI pipelines, and full-stack platforms.
An AI-powered productivity coaching platform built as polyglot microservices. NestJS and FastAPI services communicate asynchronously via Redpanda (Kafka-compatible), with LangChain orchestrating RAG-based document retrieval against Google Gemini. Includes end-to-end observability via Jaeger tracing and Grafana dashboards.
Other Projects.
Tools & Technologies.
Backend Engineering
Event-driven microservices that scale independently, communicate through message brokers, and handle failure gracefully.
AI & Automation
RAG pipelines, autonomous LLM agents, and workflow orchestration that turn unstructured data into actionable output.
Observability & DevOps
Full instrumentation with OpenTelemetry — traces, metrics, structured logs, and alerts — across three industry-standard observability stacks.
Full-Stack Platforms
End-to-end products from database architecture and resilient APIs to real-time interfaces and cross-platform apps.
Languages
3 toolsBackend & Runtimes
3 toolsFrontend & Mobile
3 toolsData & Messaging
4 toolsAI & Automation
4 toolsDevOps & Observability
4 toolsLet's
Connect.
Open to building high-performance systems, contributing to engineering teams, and collaborating on projects that push technical boundaries.