Currently open to opportunitiesGreater Delhi Area

Shubham
Rawat.

Full Stack Developer / Software Engineer

3+ years of experience

I build backend-heavy and full-stack systems for real-world scale—LLM-powered data extraction, async processing, performance optimization, and scalable web applications.

Backend-heavy systemsLLM-powered extractionAsync processingPerformance optimizationScalable web applications
01React
02Next.js
03TypeScript
04Node.js
05Java
06Spring Boot
01Selected engineering impact
55K–60Kjobs processed / day

Scaled from 20–30K jobs in two days

200 → 6000+indexed job listings

Delivered within three months

600–800ms → 90msIndia page load

Static generation and Next.js revalidation

14–20s → 120msUS page load

S3 delivery and revalidation

02Experience / What I built
01

Outscal

Full Stack Engineer

July 2024 — Present

Backend-heavy and full-stack systems spanning LLM extraction, distributed processing, indexing, and global page delivery.

Delhi, India

01Universal extraction without XPathLLM-powered job data extraction

Built a Gemini-powered system that extracts structured job data from inconsistent HTML across multiple career portals, improving adaptability as page structures change.

Node.jsGemini APIHTML parsingPrompt engineering
0220–30K / 2 days → 55K–60K / dayScalable job processing pipeline

Optimized parallel async workflows and reduced processing latency across ingestion and enrichment workloads.

Node.jsAsync processingDistributed workflows
03Rules + LLM + human feedbackHybrid job-status detection

Combined rule-based signals with LLM semantic validation and a human-in-the-loop feedback mechanism to improve classification.

LLMsPrompt engineeringNode.js
04Selenium → FirecrawlScraping infrastructure migration

Replaced browser automation with Firecrawl to improve scalability and reliability while reducing browser overhead.

FirecrawlNode.js
05200 → 6000+ listings in 3 monthsSEO indexing infrastructure

Built automated indexing workflows that increased discoverability and accelerated content updates.

AWS LambdaGoogle Indexing API
0690ms India · 120ms USGlobal performance optimization

Reduced India page loads from 600–800ms and US loads from 14–20s using static generation, regional delivery, and revalidation.

Next.jsAWS S3Next.js revalidation
07Reliable background executionAsync processing pipeline

Built AWS SQS workflows for resume parsing, IP enrichment, and fault-tolerant data processing.

AWS SQSNode.js
02

SayaCare

Frontend Web Developer

August 2022 — June 2024

Internal productivity systems that automated operations and enabled real-time staff workflows.

Noida, Uttar Pradesh, India

01Less manual work and fewer inconsistenciesInventory management automation

Automated inventory tracking with structured data handling across internal processes.

AngularNode.jsREST APIs
02Instant SpeedPost label printingWebSocket label printing

Built a real-time label generation and printing workflow without manual refresh, reducing shipment preparation delays.

AngularWebSocketsNode.js
03Centralized operational workflowsInternal staff portal

Redesigned employee, attendance, communication, and ticketing modules to improve coordination and issue visibility.

AngularSocket.ioREST APIs
04Faster staff collaborationReal-time internal chat

Implemented Socket.io communication that reduced dependency on external messaging tools.

AngularSocket.ioNode.js
03

ESMSYS

Angular Developer Intern

August 2021 — November 2021

Reusable, data-driven Angular interface foundations and consistent user feedback systems.

Gujarat, India

01Reusable, maintainable UI structuresFrontend component development

Developed Angular components with REST APIs, data grids, pagination, and modular interface structures.

AngularTypeScriptREST APIs
02Consistent workflow feedbackUI feedback systems

Integrated toast notifications and structured state feedback to improve responsiveness and consistency.

AngularJavaScriptUI state handling
Available for opportunities

Want the complete resume or a direct conversation?

03Selected project
TOKEN BUCKETLRU / O(1)
January 2026 — March 2026

API Rate Limiter & LRU Cache Visualizer

An interactive client-side application that makes request throttling and cache eviction behavior visible in real time.

Token bucket rate limiting and O(1) LRU cache behavior are translated into observable request, refill, and eviction states.

ReactTypeScriptViteTailwind CSSGit
04Technical repertoire

Languages

Frameworks

Cloud / Infrastructure

Tools / Automation

Data / Real-time

AI / Automation

05About

Greater Delhi Area

3+ years of experience

Currently open to opportunities

Scalable systems and intelligent automation, built around practical engineering problems.

My work spans LLM-powered extraction, distributed processing, real-time internal tools, and high-performance web delivery.

I enjoy learning tools when they help solve meaningful problems, especially where software engineering meets scale, data, and intelligent automation.

06Education

JIMS Engineering Management and Technical Campus

Bachelor of Technology — Computer Science

2018 — 2022CGPA 9.20 / 10

Bal Bharati Public School, Noida

PCM with Computer Science

April 2015 — April 2017

Bal Bharati Public School, Noida

High School

April 2014 — April 2015

07Certification & Profiles

Software Developer – Product Development (Version 3.0)

LEETCODE

View coding profile

leetcode.com/u/6rud9e

08Contact
Currently open to opportunities

Let’s solve something worth scaling.