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Full-stack systems engineer

Building scalable systems,one deployment at a time.

Full-stack applications, distributed systems, cloud infrastructure, and AI-powered products—from interface to production.

Interface layer01 / 04

Frontend is where the system becomes human.

Responsive interfaces, component systems, and interaction patterns turn complex product logic into something clear and useful.

I build the user-facing layer as part of the wider architecture: fast, accessible, maintainable, and connected to the services beneath it.

01React02Next.js03TypeScript04JavaScript05Tailwind CSS06Shadcn/UI07Framer Motion
User intent
Interface
Application state
Services
Service layer02 / 04

Under the interface, services move the work.

APIs, authentication, persistence, queues, and background processing form the computational core behind reliable applications.

The backend is designed as a network of responsibilities—not a single opaque server—with data moving visibly between services and workers.

01Node.js02Express.js03REST APIs04PostgreSQL05MongoDB06Redis07Authentication08Background workers
Request
API
Queue / cache
Worker
Database
Intelligence layer03 / 04

AI becomes useful when it is engineered into the product.

I connect model capabilities to application state, data, tools, and real workflows instead of treating intelligence as an isolated chat surface.

Engineering intelligent applications that connect models, data, tools, and real-world workflows.

01AI integrations02N8N03AI workflow automation04Application orchestration05Models + APIs06Automated actions
User
Application
AI orchestration
Models · tools · knowledge
Action
Infrastructure layer04 / 04

Production systems need somewhere resilient to run.

Containers, distributed workers, deployment pipelines, and cloud infrastructure keep application workloads observable and ready to scale.

I build scalable systems with Docker containerisation, Kubernetes orchestration, Redis-backed workloads, and PostgreSQL persistence.

01Docker02Kubernetes03KEDA04Redis queues05GitHub Actions06CI/CD07GCP08AWS09Observability
Application
Services
Queues
Workers
Infrastructure
Scaling

05 / Selected projects

Projects emerge from the architecture.

Each product is a different arrangement of interfaces, services, data, automation, and infrastructure—not an isolated card in a grid.

DayOS adaptive day planner cover
Adaptive daily planner

DayOS

A personal day-planning system with a Today dashboard, task and habit tracking, focus timers, calendar views, and deterministic schedule rebalancing. Built with a Next.js web client, Express API, shared TypeScript contracts, Clerk authentication, and Neon PostgreSQL with Drizzle. The MVP is nearly complete; final refinement is underway.

Tasks
Daily plan
Focus
Reflect
Rebalance

A deterministic planning engine adapts the day as priorities change.

Next.jsTypeScriptExpressPostgreSQLDrizzleClerkDocker

MVP nearly complete

Multi-tenant product · Completed

Multi-Store E-Commerce Platform

A completed multi-tenant commerce platform with independent storefronts, a shared admin dashboard, inventory, orders, and role-based access.

One platform→Many stores

Delivered independent storefronts, inventory and order management, and a shared administration dashboard.

Next.jsTypeScriptNode.jsExpressPostgreSQLRedisCloudflare R2Cloud Run
Business experience

Crabtile — Business Website

A responsive digital presence for a technology and creative studio.

Turned services, products, and positioning into a focused path from discovery to enquiry.

Next.jsReactResponsive UI
Examalise examination research workspace preview
Examination research

Examalise

An examination research platform being built for popular competitive exams across India, bringing past papers, topic analytics, and evidence-grounded preparation research together.

Under development: a multi-exam platform with a sourced paper library, document ingestion and review workflow, reproducible historical analytics, and AI-assisted research grounded in approved exam data. Built as a monorepo with a Next.js student app, Express API, PostgreSQL database, and a durable ingestion worker.

Next.jsTypeScriptExpressPostgreSQLDrizzlepg-bossOpenRouterCloudflare R2

Under development

06 / System map

A stack defined by its connections.

Hover or focus a technology to trace its direct relationships and the real systems where it is used. Tap a node on mobile to keep it selected.

07 / Learning & what comes next

Building systems.Learning to make them intelligent.

I'm currently learning AI and LLM engineering, building on my experience shipping full-stack products and scalable infrastructure.

My next chapter is to become an AI/LLM Engineer: bringing models, application logic, and reliable deployment together to build useful, dependable products.

Explore my engineering foundation
A chapter in progress

Learning now

AI & LLM Engineering

Developing an understanding of large language models and how to integrate their capabilities into real applications.

Future direction

AI/LLM Engineer

Grow from full-stack and infrastructure engineering into designing, evaluating, and deploying reliable AI-powered systems.

Learn → Build → Evaluate → Improve

08 / Open channel

Have an idea worth building?

Let's turn it into a scalable, intelligent product.