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shoeb chaudhary

Open to work1 years experience

Full Stack Developer

Navi MumbaiTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Full stack developer with hands-on experience shipping production systems.

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

30 skills
typescriptjavascriptpythonhtml5css3c++react.jsnext.jsnode.jsexpress.jsfrappe frameworksocket.iotailwind cssrechartsmongodbmariadbredisaws ec2digitaloceannginxpm2supervisorgunicornkvm/libvirtgitgithubwebauthn/fido2jwtrazorpayiso-27001

Work Experience

Full Stack Developer

Macksofy Technologies Pvt Ltd

Sep 2025 - Present Mumbai, Maharashtra
  • Owned end-to-end delivery of LearnToExploit (learntoexploit.com) \u2014 a production React/Node.js CTF platform with KVM-based isolated VM environments per user, real-time Socket.io challenge sync, and a Razorpay subscription system with 99% transaction success rate
  • Diagnosed and resolved a leaderboard bottleneck by replacing sequential queries with MongoDB aggregation pipelines and Redis caching \u2014 reduced p99 latency from 2s to 50ms ( 95% improvement) under 1000+ concurrent rankings
  • Architected and delivered SAM HRMS (samhrms.cloud) \u2014 replaced Frappe\u2019s default UI with a React portal; implemented WebAuthn (FIDO2) TPM-bound device authentication, a custom OT payroll engine, and full HR workflow (attendance, leave, payslip, document management)
  • Built notification infrastructure for a healthcare billing OCR platform (private) \u2014 implemented a cron-based email notification system for billing status updates, and rebuilt the frontend from scratch using TypeScript and Next.js for UI simplicity and ease of use
  • Self-hosted platforms on AWS EC2 with Nginx, Let\u2019s Encrypt SSL, PM2, and MariaDB/MongoDB \u2014 no third-party SaaS, full client data ownership, zero downtime deployments

Projects

LearnToExploit

View Project
JavaScriptReactNode.jsMongoDBRedisSocket.ioRazorpayKVM/libvirt
  • Designed the system architecture: React frontend, Node.js REST API, Socket.io real-time layer, and KVM/libvirt orchestration that spins isolated VMs per user on challenge start and tears them down on completion or timeout
  • Built JWT authentication, RBAC, and a 3-tier paywall (Free/Pro/Enterprise) with Razorpay webhook handling \u2014 idempotent event processing prevents duplicate subscription grants across retries
  • Implemented a Redis-backed leaderboard with MongoDB compound indexes and bulk writes \u2014 supports real-time rank updates for 1000+ users with sub-200ms response time
  • Configured PM2 cluster mode and Nginx as reverse proxy; automated cron jobs recalculate rankings and clean up stale VMs on a schedule

SAM HRMS

View Project
ReactPythonFrappe FrameworkWebAuthn/FIDO2MariaDBAWS EC2
  • Decoupled Frappe\u2019s templating engine entirely by writing custom Python REST APIs and consuming them from a React SPA \u2014 three role-specific portals (Admin, HR Manager, Employee) with automatic route-based access control
  • Implemented FIDO2/WebAuthn hardware-bound login: 3-stage flow (credentials \u2192 device registration \u2192 TPM cryptographic challenge); HR can register, monitor, and instantly revoke device access
  • Built an interactive attendance calendar with day-level drill-down and a custom overtime calculation engine that auto-injects Additional Salary into Frappe\u2019s payroll cycle
  • Deployed on AWS EC2 (Ubuntu 22.04) with Nginx reverse proxy, Supervisor process management, Gunicorn WSGI, Let\u2019s Encrypt SSL, and automated MariaDB backups

ISO-27001 Firewall Compliance Analyzer

ReactJavaScriptRechartsTailwind CSS
  • Built the complete React frontend for a Palo Alto XML firewall config parser \u2014 drag-and-drop upload, instant ISO-27001 rule validation results, and per-rule evidence with risk severity classification
  • Designed Recharts dashboards (compliance pie, risk distribution graph, severity-sorted rule tables) capable of rendering 200+ firewall rules without layout shift or scroll jank
  • Integrated with Python backend compliance engine via REST; deployed to DigitalOcean App Platform with environment-based config for dev/prod separation

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Performance Optimization

Reduced p99 latency from 2s to 50ms (95% improvement) on a leaderboard by replacing sequential queries with MongoDB aggregation pipelines and Redis caching.

About Details

Professional Bio

Full stack developer with hands-on experience shipping production systems using React, Next.js, TypeScript, Node.js, and Python. Comfortable owning the full delivery cycle: architecture, APIs, frontend UX, notifications, payment integration, and deployment.

B.E. Computer Engineering \u2014 Artificial Intelligence

Bharati Vidyapeeth College of Engineering ( - 2025)

Diploma in Computer Engineering

A.R. Kalsekar Polytechnic ( - 2022)

Languages: English, Hindi
Email: Locked