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akbhuker/README.md

Ankit Kumar

Senior Backend Engineer · Node.js · Distributed Systems · Cloud

Senior Backend Engineer with 3+ years building scalable SaaS platforms, cybersecurity awareness solutions, virtual lab environments, and high-volume messaging systems. Focused on reliability, scalability, and automation.

LinkedIn · GitHub · Email


Skills

Languages JavaScript, TypeScript, Python, Go
Backend Node.js, Express.js, Fastify, REST APIs, BullMQ
Databases MongoDB, PostgreSQL, Redis
Cloud & DevOps AWS (S3, EC2), Docker, Nginx, GitHub Actions, Prometheus

Experience

Senior Software Developer — Wissenhive E-Learning · Apr 2025 – Present

  • Architected a multi-tenant cybersecurity awareness & training platform for enterprise customers.
  • Built a distributed asynchronous campaign engine with BullMQ and Redis — idempotent workers handling 100K+ events/hour with automated retries and no duplicate notifications.
  • Developed high-concurrency tracking and telemetry pipelines for phishing simulations.
  • Built SCORM content lifecycle management with versioning, validation, and automated integrity verification.

Software Developer — DreamBig IT Solutions · Mar 2023 – Apr 2025

  • Designed decoupled, event-driven backend architectures for on-demand provisioning of isolated virtual lab environments.
  • Built RESTful APIs and backend modules powering LMS, assessment, and lab management systems.
  • Implemented CI/CD pipelines with GitHub Actions, AWS CodeDeploy, and Docker.

Projects

Guardrail — Distributed Rate Limiter · Node.js, TypeScript, Redis (Lua), Express

High-throughput rate limiter implementing 4 algorithms (sliding-window, token-bucket) as atomic Redis Lua scripts — verified exact admission across 500 concurrent requests at ~33K checks/sec. Dynamic per-tier limits with X-RateLimit-* headers and Prometheus metrics. Live demo

Pulse — Real-Time Event Analytics Engine · Node.js, TypeScript, MongoDB, Express

Self-serve analytics computing funnels, retention, sessionization, and rolling z-score anomaly detection entirely in MongoDB aggregation pipelines, with a live dashboard via change streams, a rules-based alerting engine (webhook + SSE), and pre-aggregated rollups via $merge.


Education

B.Tech, Computer Science — Gurugram University · 2018 – 2022

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