Full stack engineer · Maryland

One engineer,the whole stack

I'm a full-stack software engineer who builds web applications end to end, backend to browser. I design the data model, build the interface, and ship it to production.

React
Next.js
Java
PostgreSQL
Python
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About
Pavan Gajula
NowSynack Solutions
BeforeTata Consultancy · 2 yrs
FocusFull-stack web

“I build software that lasts, because I don't ship what I can't explain.”

I'm Pavan, a software engineer who builds for the web. I spent two years at Tata Consultancy Services on a global product used across more than ten markets, where I led a front-end migration and shipped a component library the whole team adopted.

Now I'm at Synack Solutions, building full-stack web apps and reaching for the right tech and tools for each one. The apps I'm proudest of are still running years after I handed them off.

JavaScriptJavaScript
TypeScriptTypeScript
JavaJava
ReactReact
AngularAngular
Next.jsNext.js
NodeNode
PythonPython
SQL
AWSAWS
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How I work

Three standards I don't bend on, whatever the deadline.

01

It has to outlive me

The apps I’m proudest of are still running years after I handed them off, on code the current team can change without being scared of it.

02

I try to break it first

If I haven’t tried to break something, I don’t trust it. I’d rather be the one who finds the failure than the user who does.

03

I read the source

When the docs and what the code actually does disagree, I go read the source. I’d rather know than guess.

Selected work

A few things I've built, and the part of each that was actually hard.

Straight Path Athletics

A youth sports nonprofit in Howard County, Maryland — basketball and flag football for kids, run entirely by volunteers. No website, no registration, no brand when I started. I built all of it, and I was the only technical person on it.

DudaTeamSnapStripeJavaScriptPython
straightpathathletics.com
The hard part

Most of the work was making a no-code platform do what it resists: custom animations moved onto their own init hook because Duda fires page events too early, every class scoped so its embedded widgets stopped overriding my styles, and registration that flips to a waitlist the moment a team fills.

Synack Solutions

A Baltimore IT consulting firm, in business since 2005, that had gone twenty years with no real web presence. I built their first one — a 15-page responsive site covering all six of their service lines.

HTMLCSSTailwindAOSJavaScript
synacksolutions.com
The hard part

With that many hand-built pages and no framework, the hard part was consistency. I wrote a disciplined CSS architecture and held to it, so the site reads as one coherent thing instead of fifteen pages that drifted apart.

HKM Engineers

A civil engineering firm in Illinois — construction inspection and oversight — with no website at all. I designed and built one start to finish, from Figma mockups to a live Next.js deployment on Vercel, DNS included.

Next.jsReactTailwindFigmaVercel
hkmengineers.com
The hard part

The blueprint visual language was a deliberate bet: an engineering firm's site should look like engineers made it, not a template. The real work was carrying that from a Figma concept into pixel-accurate, responsive Next.js without losing the intent.

Research

What I keep noticing

The more developers lean on AI coding tools, the less the problem is writing code, and the more it's knowing when to trust what comes back.

I write code with AI assistants every day. Whether they can produce working code stopped being the interesting question — they usually can. The harder one is when a developer should trust the output, and what happens when checking it costs more than writing it would have.

01
Human-AI Interaction

Why do I trust AI more in Java than in bash?

My skepticism rises and falls with how well I know the language. The places I get burned are exactly the places I’m not paying close attention — which is exactly where AI tools are most useful, and most risky.

02
Developer Tools

What would a tool that helped me not accept code look like?

Most AI coding tools are designed around the accept button. The harder design problem is making it cheap and natural to push back, edit, or reject — especially when accepting feels easiest.

03
Programmer Experience

What happens to learning when AI writes the boilerplate?

Boilerplate is how junior developers used to learn the shape of a system. When AI writes it for them, the path is faster — but the path through the path is missing. I’m not sure yet what that costs.

Get in touch

Get in touch.

If something here lands — whether it's a project, a job, or research — email's the fastest way to reach me, and I read everything that comes in.

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Pavan · Maryland · Full stack