frontend engineer

I design and buildinterfaces that feelconsidered.

Software engineer building thoughtful interfaces and production systems across AI, infrastructure, and distributed systems.

Creating clear, purposeful interfaces where hierarchy, spacing, and visual language make complex products easier to understand.

Scroll down

identity

Systems,Craft &Curiosity

Identity

I'm Karan, a frontend engineer who cares about the space between an idea and the way it feels when someone uses it. I design and build interfaces that are clear, responsive, and quietly memorable.

I care about interfaces that respond, systems that scale, and details people do not notice until they are missing. My work moves from product experience to resilient infrastructure.

selected work

Whereideasbecomeproducts.

Main proof

06

2026

INFRA AGENTS

AI Infrastructure Platform

Multi-agent workflows for infrastructure operations and observability.

LLM orchestrationWorkflow automationKubernetes
Agent control plane

Intent

request

Mesh

agents

Observe

signals

Recover

action

inputorchestrateship

2025

FLOW OPERATE

Operational Product Design

A distributed execution layer that translates complex operational tasks into clear, reliable workstreams.

Distributed systemsWebSocketsMonitoring
Operational event stream

Signal

event

Queue

buffer

Workers

tasks

Live Ops

sync

inputorchestrateship

2024

SYSTEMS LAB

Platform Engineering

A modular product surface for experimentation, deployment, and system-level visibility.

Platform designCloud infraReliability
Product shipping loop

Prototype

ui

Platform

core

Deploy

release

Measure

learn

inputorchestrateship
Builtforscale.
React
Next.js
TypeScript
JavaScript
Tailwind CSS
Node.js
Express
Python
FastAPI
PostgreSQL
MongoDB
Docker
Git
Vercel
Redis
React
Next.js
TypeScript
JavaScript
Tailwind CSS
Node.js
Express
Python
FastAPI
PostgreSQL
MongoDB
Docker
Git
Vercel
Redis

the lab

Small systemsfor thoughtfulinteractions.

A playground for motion, layout, typography, and interaction. The experiments are small by design, but each one is built to show how an interface responds.

work method

Experienceshaped byshipping.

Building production systems and leading frontend initiatives across AI-powered products, cloud infrastructure, and distributed applications.

AI systems

Intelligencethat becomesaction.

Multi-agent systems, LLM orchestration, workflow execution, evaluation, and observability — built to turn cognition into reliable systems.

1
Reason
Context, goals, constraints
2
Plan
Task routing, sequencing
3
Delegate
Tools, agents, approvals
4
Execute
Actionable workflows
5
Observe
Signals, telemetry, feedback
6
Adapt
Learning, retries, optimization
Reason
Plan
Delegate
Execute
Observe
Adapt

infrastructure

Whereinfrastructuremeetsscale.

Infrastructure

impact

Softwarethatships,scales& lasts.

Impact

12×

workflow execution improvement

99%

production reliability

06

major systems shipped

03

production AI platforms

experience

Three placesthat shapedhow I work.

From frontend product development to AI-powered applications and technical operations.

  • Contributed to the development and maintenance of 5+ internal solutions and customer-facing products.
  • Led frontend development for two core, ongoing products, working closely with product managers and backend engineers to ship features, refine workflows, and improve overall system reliability.
  • Enhanced application performance by up to 30% through code splitting, caching strategies, bundle size optimization, and minimizing unnecessary re-renders.
  • Integrated RESTful APIs and AI-driven model outputs into frontend workflows, improving data flow efficiency and responsiveness across dashboards and interactive components.
  • Improved cross-device responsiveness and accessibility by building reusable UI components and maintaining clean, modular, and scalable frontend architecture.

Contact

Is thefirststeptowardsomethinguseful.

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