Pradip Parajuli · Backend · DevOps · AI Engineering
[LOG]: initializing_competencies... OK
devLuk Technologies LLC, Kathmandu, Nepal
First professional role
DMSHAO Technologies LLP, New Delhi, India
Call center management system
Anmup Online, Surkhet, Nepal
E-commerce & service platforms
LeanQ, Kathmandu, Nepal
Multi-tenant SaaS platform
RPA Nepal, Lalitpur, Nepal
Platform, infra & AI-augmented delivery
Need something a bit more... traditional?
Email Me for a Resume ↓> Taking it all the way. From API to database to production.
Layer_0: Backend & APIs
"I build robust, secure backend systems — REST and GraphQL APIs, authentication, queues — in both Node.js and PHP/Laravel."
Layer_1: DevOps & Cloud Infra
"From CI/CD automation to AWS infrastructure and self-service provisioning — I keep systems deployable, observable and cost-efficient."
Layer_2: Data & Search
"I design schemas, tune queries and optimize search so production systems stay fast under real load."
Layer_3: Architecture at Scale
"Architected a secure multi-tenant SaaS platform and led a monolith-to-microservices migration serving 1,200+ concurrent users."
Layer_4: AI Engineering
"I've shipped production apps built fully with AI-native workflows, and I use Claude and GitHub Copilot daily to accelerate delivery, review and debugging."
AGENT_PLAN: Reviewing diff against spec... Drafting implementation, tests and PR description...
[LOG] AI_PAIR_SESSION: architecture_review
[STATUS] SPEC_TO_DEPLOY: no_dedicated_team
[TRACE] COPILOT_ASSISTED_DEBUG_RUNNING
[SYNC] CLAUDE_CODE_REVIEW_CONNECTED
Real systems I've architected and shipped — from AI-native apps to DevOps automation, multi-tenant SaaS platforms and the infra that keeps them running.
Independently designed, built, and shipped production applications using AI-native development workflows — Claude/GPT-4-assisted architecture, coding and testing, from spec to deployment with no dedicated team.
Architected a secure multi-tenant SaaS platform with subdomain-based tenant isolation, separate databases and centralized auth — serving 1,000+ users across 15+ organizations.
Led a zero-downtime migration from a legacy monolith to NestJS microservices, scaling the platform from 300 to 1,200+ concurrent users.
Automated CI/CD triggers and one-click manual deploys, cutting deployment time from 3–4 hours to 10 minutes, plus self-service tooling for instance provisioning.
Designed and maintain game server infrastructure with load balancing supporting 1,000+ concurrent users, tuned for optimized AWS costs.
Built a call center management system with real-time WebSocket features for live agent dashboards, backed by MySQL and a Redis caching layer.
( + ) More case studies available on request.
Notes from the trenches — backend architecture, cloud infrastructure and building with AI.
We've moved past autocomplete. Spec-to-deploy agentic workflows now let a single engineer own architecture, coding and testing for a whole app.
Subdomain-based isolation with separate databases per tenant costs more upfront, but it buys you clean data boundaries and simpler compliance.
Lambda and SQS are great for bursty workloads, but sustained, high-throughput traffic is often cheaper and more predictable on right-sized EC2.
Migrating a monolith to microservices only pays off once you've hit real scaling pain — do it too early and you pay the distributed-systems tax for nothing.
I've shipped production systems in both, and the honest answer is it rarely matters as much as people think.
Swapping a naive SQL LIKE search for a properly tuned Elasticsearch index took one of our platforms from 2.1s to 200ms per query.