last commit: 2h agov4.2.0Pune, IN · UTC+5:30

fullstack_engineer

who ships fast

& builds clean.

/* Sagnik Ghosh — fullstack engineer working at the seam between thoughtful interfaces and the systems that power them. Currently SDE at ZenTrades.ai. */

./view-work.sh  →contact --me
# currently
SDE @ ZenTrades.ai
AWS Lambda · React Native · AI
# stack
React · Node.js · AWS
Fullstack — web, mobile, cloud
# education
VIT Vellore · Gold Medal
B.Tech CSE · top of stream
// 01 — about

Driven by curiosity,
powered by craft.

Fullstack engineer who graduated top of class at VIT Vellore and has been shipping production code at ZenTrades.ai ever since.

I work across the whole stack — React and React Native on the front, Node.js and Python on the back, AWS and Docker holding it together. Recent work spans architecting a parallel AWS Lambda pipeline that unblocked a market expansion, optimizing Puppeteer-based PDF generation to cut memory usage by up to 80%, and integrating AI recommendation systems that hit 87% accuracy in production.

I care about measurable outcomes, clear communication, and code that the next person can change without a call to me. Available across timezones; at my best on small teams moving fast.

collaborationopen communicationships fastmetric-driven
stack.json — v4.2
const stack = {
frontend: ["Next.js", "React", "React Native", "TypeScript", "Tailwind"],
backend: ["Node.js", "Express.js", "Django", "Python"],
database: ["MySQL", "MongoDB", "Redis"],
cloud: ["AWS", "Docker", "Nginx", "ElasticSearch"],
ai_tools: ["LangChain", "Git", "Linux"]
}
// 03 — experience

git log --format=oneline

HEAD → main
commit a3f8912e(Jul '24 — Now)· Pune, IN

Software Development Engineer

Author: ZenTrades.ai
  • Architected parallel execution via AWS Lambda and Google Apps Script, cutting document generation to under 5 minutes and unblocking the Canadian market launch.
  • Refactored Puppeteer-based PDF generation to a single browser instance, reducing memory usage by 50–80% and CPU load by 30–60%.
  • Shipped a React Native app from scratch, streamlining inspection-to-invoice workflows and cutting post-job processing time to under 7 days.
  • Integrated AI-driven recommendation systems into estimate generation, achieving 87% accuracy in automated citation validation.
  • Refactored the scheduler module to eliminate redundant logic, cutting page load times by over 50%.
commit b1c2d34f(Feb – Jul '24)· Pune, IN

Associate Developer

Author: ZenTrades.ai
  • Built saved filter preferences with React and Material UI, reducing user interaction steps by over 75%.
  • Designed a scalable data schema and RESTful APIs for efficient storage, retrieval, and seamless frontend-backend integration.
// 04 — approach

How a project
actually goes.

No mystery process.
Three phases, repeated until it ships.

phase_01
function map_the_territory() {
/* Start by understanding the actual problem — users, constraints, success metrics. Site structure, navigation, and content come out of that, not before it. */
return shipped_product;
}
phase_02
function build_in_public() {
/* Work in tight loops — small, shippable slices — and keep you in the thread the whole way. No surprises at delivery. Cue the lo-fi. */
return shipped_product;
}
phase_03
function ship_and_sharpen() {
/* From approved design to production code, with measurable checks on performance, accessibility, and the small interactions that make a product feel alive. */
return shipped_product;
}
05 / FIN
// 05 — contact

Got a projectthat deservesreal care?

$ mail sagnik  →
sagnikghosh18@gmail.com
Status
Open to projects · Q3 '26