Keshav Gupta

Backend Engineer

Noida, Uttar Pradesh, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed a privacy tool used across 9 AI platforms.
Resolved 15+ production bugs in a live codebase.
Built a high-performance backend system for competitor monitoring.

Stackforce AI infers this person is a Backend Engineer with expertise in SaaS and AI-driven applications.

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Skills

Core Skills

Node.jsMongodb

Other Skills

Express.jsREST APIsRedisJSON Web Token (JWT)Large Language Models (LLM)GitJavaScriptBull MqWeb DevelopmentPacket TracerAWS CLOUDAWS COREGenerative AIReal-time DataGitHub

About

Caring less about getting things to run and more about understanding why they do. Some of what I've shipped: → MaskIt — a Chrome Extension + Node.js API that intercepts text across 9 AI platforms and masks PII (emails, Aadhaar, credit cards, API keys) before it reaches the model. Custom regex engine, zero data retention, API response time under 200ms. Live in production. → AI Competitor Intelligence Platform — background worker system (Redis + BullMQ) processing 10 concurrent scraping jobs, monitoring 20 competitor sites on 24-hour schedules, with field-level change detection across pricing, features, and content snapshots. → Stealth Startup(internship) — resolved 15+ production bugs across API routes, DB queries, and third-party integrations in a live Node.js/Express codebase. Fixed MongoDB data inconsistencies and eliminated silent failures in 3 critical endpoints.Stack: Node.js · Express · MongoDB · Redis · BullMQ · REST APIs · LLM APIs · JWT · React · Chrome Extension

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Stealth startup

Back End Developer

Jan 2026 – Apr 2026 · 3 mos · Remote

Worked on a live Node.js/Express codebase serving real users — no greenfield setup, straight into production.
Resolved 15+ bugs across API routes, database queries, and third-party integrations — diagnosed issues in an unfamiliar codebase with minimal hand-holding.
Fixed MongoDB data inconsistencies caused by unvalidated writes across 4 collections; added schema-level validation to prevent bad data from entering the system at the source.
Eliminated silent failures in 3 critical API endpoints by catching unhandled promise rejections and returning proper error responses — turning invisible bugs into traceable ones.
Stack: Node.js · Express.js · MongoDB · REST APIs

Node.jsExpress.jsMongoDBREST APIs