Suyog Shah
Immediate joiner

AI-First Engineer

Suyog Shah

I build software that solves real business problems. I own the work end to end: from understanding the problem, to building the solution, to running it in production.

8+ years experienceProduct EngineerFull-stackPune, India
AngularNode.jsAWSChatGPTGemini
  • Microservices
  • Micro-frontends
  • Multi-tenant SaaS
  • LLM orchestration
  • Performance engineering

About

I am a full-stack engineer. I own the full cycle of building software: system design, architecture, code, testing, deployment, support, and new features. Beyond writing code, I focus on business impact, performance under real load, and how systems hold up after launch.

For the last two years, AI has changed how I work. Claude Code and GitHub Copilot are part of my daily workflow. I'm adding AI into the products themselves to simplify the user experience. Right now I'm learning RAG and MCP, growing into AI engineering as the next chapter.

I'm open across industries and still hungry to build. Outside of work, I'm usually in the pool or on the cricket field.

Technical Toolkit

The tools I build with, grouped by layer.

Languages

JavaScriptTypeScriptJava

Frontend

AngularNext.jsReactTailwindAngular MaterialShadcn

Backend

Spring BootNode.jsExpressFastifyNestJSRESTGraphQL

Database

PostgreSQLMongoDBFirebaseSupabaseMongoosePrismaHibernate (JPA)Redis

Cloud

AWSGCPDockerGitHub ActionsKubernetesVercel

AI / LLM

ClaudeOpenAIGeminiLangChain

Testing

JestCypressPlaywrightJUnit

How I Work

How I take a problem from idea to deployed, and back.

  1. 01

    Understand

    I start with the business requirement and internalize it before writing any code. Beyond what the client says, I work out what problem we're actually solving, who the target audience is, what's achievable with the technology, where the hard constraints sit, and what success will look like once we ship. The scope comes out of this understanding, not before it. Without this step done well, everything downstream gets harder.

  2. 02

    Prototype

    When the work is complex enough, I prototype before building. The point is to visualize the app for client review so they can react before real code exists. Alongside, I'll often run a quick competitor analysis to inform UX decisions, surface the gaps users are hitting today, and make sure what we build is genuinely easy to use. The output is alignment: a clear picture everyone can agree on.

  3. 03

    Build

    This is where most of the time goes. I start with the hardest modules first and write a small POC if the approach isn't obvious yet. Architecture decisions come from the actual scale we're building for: monolith or microservices, what to make future-ready, what to keep simple. I define the API contract early so frontend and backend can work in parallel. Incremental client reviews keep everyone aligned. Testing isn't a separate phase: unit and integration tests live alongside the build, and the CI/CD pipeline is wired up from day one so deployment is never an afterthought.

  4. 04

    Ship

    The first release goes to the client, not to production. I walk them through the full flow, collect feedback, and fold it in before anything else. Then comes the hardening pass for real users: measurability built in, performance monitoring wired, load testing run against expected traffic, basic security tightened (rate limits, common protections). Only after that does the real first production release happen. Two phases on purpose: the client release catches what we missed, the production release is what survives real users.

  5. 05

    Operate

    Once it's live, the work shifts to watching real usage. Performance metrics, error rates, user-reported issues, and the small surprises we didn't predict. The faster I catch a problem, the smaller it stays. Most of what I find in this phase becomes the input for the next one: the gap between what we built and what's actually being used always tells you what matters next.

  6. 06

    Iterate

    Two waves. The first wave fixes friction from the release: bugs, edge cases, the things that surprised real users. The second wave is new features that make the platform more robust, more capable, more pleasant to use over time. When the second wave starts to settle, the cycle restarts with a new requirement landing back at step 01.

...and back to step 01 with the next problem.

Contact

Send a message and I'll get back to you within a day or two.

Or reach out directly