I design and ship agent workflows, QA platforms, internal tools, and full-stack products with a focus on reliability, clarity, and useful automation.
Live system preview
Synaptiq Agent
Analyzing repository
QA Release Bot
Checking release template
Cost Monitor
Tracking LLM usage
Loop Fixer
Waiting for signal
Built with the same mindset I bring to QA: clear status, controlled risk, better debugging, and fewer surprises.
Featured Work
The portfolio should make your work feel like serious products, not random experiments. Each card explains the problem, the system, and why it matters.
AI Agent Platform
A production-focused AI agent system with loop detection, cost tracking, smart fixing, and workflow orchestration.
Problem
AI coding agents can produce useful work, but they often lack control, observability, repeatability, and cost awareness.
Agent Observability
A Datadog-style control room for AI agents with live status, map view, execution traces, and team visibility.
Problem
When multiple agents run across tasks, teams need to understand what each agent is doing, where it is stuck, and what changed.
Digital Signage QA
A smart checking platform for signage images and videos, focused on quality, accessibility, layout, and improvement suggestions.
Problem
Teams publish signage content without enough validation for readability, contrast, placement, and screen suitability.
Interactive Website Builder
Turns any website into a living interactive interface with selectable sections, motion effects, and export-ready outputs.
Problem
Most website demos are flat. SurfaceBend makes product pages feel alive without depending on experimental browser APIs.
Live on Google Play
Real Android apps built and maintained by SudarshanTechLabs — available on Google Play Store.
Build Philosophy
AI is only useful when it removes real friction. My approach is simple: make the system understandable, controllable, and useful.
I break ideas into flows, feedback loops, failure points, and measurable outputs before writing code.
Good tools should show what is happening, what failed, what changed, and what to do next.
My QA background shapes how I build: reproducible steps, edge cases, release safety, and incident prevention.
I prefer focused products that prove value quickly, then grow with stronger architecture.
Stack
A clean, grouped stack works better than a long noisy list. Keep it sharp and relevant to the kind of work you want more of.
I’m interested in AI systems, automation products, QA platforms, internal tooling, and practical software that saves teams time.
