I'm a backend and full-stack engineer from Dhapasi, Kathmandu — currently studying BSc CSIT at Amrit Campus while building production systems that real people actually use.
My foundation is the MERN/PERN stack, and I'm actively going deep into Python, Django, and FastAPI — because I want to be the kind of engineer who can design and own the full backend, from a fast async endpoint to a distributed job queue. I'm not at the finish line yet, but I'm not at the start either.
What drives me isn't just shipping features. It's understanding why systems are architected the way they are — why you'd reach for Celery over a simple cron, when PostgreSQL beats MongoDB for a given shape of data, how an LLM gets wired into a production pipeline without becoming a liability. I learn by building real things, then pushing them live.
"Every commit is a promise — to the problem I'm solving, to the people who'll use it, and to the engineer I'm becoming."
📍 Dhapasi, Kathmandu, Nepal · 📬 sharmashekhar20050@gmail.com · 📞 +977-976-557-1937
ram = {
"location" : "Dhapasi, Kathmandu, Nepal",
"education" : "BSc CSIT @ Amrit Campus, Lainchaur",
# Solid — shipped to production
"backend" : ["Node.js / Express", "Django (deepening)", "FastAPI (deepening)"],
"frontend" : ["React", "Next.js 14", "TypeScript", "TailwindCSS"],
"databases" : ["PostgreSQL", "MongoDB", "Redis (learning)"],
"orm" : ["Prisma", "Mongoose", "Django ORM (learning)"],
# Tools I've actually used in real projects
"ai_stack" : ["OpenAI API", "Claude API", "Gemini", "RAG (learning)"],
"payments" : ["Stripe — webhooks, subscriptions, checkout flows"],
"realtime" : ["Socket.IO", "WebSockets", "background jobs (Inngest)"],
"devops" : ["Docker", "Vercel", "Render", "Nginx", "GitHub Actions"],
"auth" : ["JWT", "OAuth / Passport.js", "NextAuth.js", "RBAC"],
# Where I'm heading
"leveling_up": [
"Django REST Framework — production-grade Python APIs",
"FastAPI async patterns — Pydantic, dependency injection",
"PostgreSQL query optimization and indexing strategy",
"Distributed systems — queues, consistency, fault tolerance",
"AI Engineering — RAG pipelines, agents, LLM prod systems",
"Kubernetes & cloud-native deployments",
],
"philosophy" : "Ship real things. Learn from what breaks. Build for the next order of magnitude.",
"status" : "Open to backend, full-stack, or AI engineering roles",
}|
Full marketplace with multi-tenant vendor management, Stripe payment processing, background job automation via Inngest, AI-generated product descriptions, webhook handling, and an admin analytics dashboard. Not a demo. It processes real orders. |
AI-powered resume generator with real user accounts, multiple professional templates, real-time preview, PDF export, and ATS optimization hints. Built because I needed one, stayed because others did too. |
|
Modern CMS with GitHub OAuth, role-based access control, admin content moderation, draft system, SEO optimization, and ISR caching strategy. Full auth done properly. |
Personal finance system with category tracking, budget alerts, Chart.js data visualization, recurring expense tracking, and CSV export. Clean MERN — the code actually holds up. |
Backend Architecture — I design APIs that behave predictably under load. Authentication that covers edge cases. Payment flows with proper webhook handling. Background jobs that don't silently fail. Currently going deeper with Django REST Framework and FastAPI's async model — learning to think in Python the way I think in JS.
Python Ecosystem — Actively building fluency here. Django's ORM, DRF viewsets and serializers, FastAPI's dependency injection and Pydantic validation — I'm not just learning syntax, I'm learning when and why to reach for each pattern. This is the part of my stack I'm most excited about right now.
AI Integration — I've shipped OpenAI into production. I understand what it costs, where latency hurts, how to handle failures gracefully, and how to structure prompts for consistent output. Next: RAG pipelines and LLM agents with real memory and tool use.
System Design — Multi-tenant data isolation, background job queues, event-driven patterns, the real tradeoffs between microservices and a well-structured monolith. Building this mental model deliberately, not by accident.
Real-Time & Cloud — Socket.IO at scale, Nginx reverse proxying, Docker-based deployments, GitHub Actions CI/CD. I care about what happens after it's pushed to main.
I'm open to backend, full-stack, or AI engineering roles — and I'm honest about where I am. I have production experience with MERN/PERN and I'm actively building Python/Django/FastAPI depth. The Python side is newer, but it's where I'm putting real hours right now, and I learn fast by shipping.
If you want someone who already knows everything, that's not me yet. If you want someone who ships, takes ownership, learns from what breaks, and shows up every day trying to get better — let's talk.
I want to work on a team that cares about what they're building. Where code review is a real conversation. Where you can ask a dumb question without it defining you. Where the goal is to build something worth building.
I'm not looking for a job. I'm looking for a team with a mission worth joining.


