Production experience
3+
years shipping apps across company roles, internships, and freelance work.
Hello, I'm Ananta Sharma
I help service businesses connect their tools, automate repeatable processes, and build reliable AI-powered software—backed by 3+ years of production experience with APIs, databases, queues, real-time systems, and modern web apps.
3+
Years exp.
20+
Projects
5★
Rated

Stack
NestJS · Next.js · TS
I'm a backend and full stack developer with 3+ years of building and shipping production web applications—across company roles, internships, and freelance work for international clients.
My day-to-day is Node.js, NestJS, and Express.js on the back end, Next.js and React on the front. I've led projects end-to-end and worked inside teams with proper code review cycles.
I now apply that engineering foundation to AI automation: mapping a repeatable business process, connecting the right tools, using AI only where it adds value, and adding validation, logs, and human fallbacks so the workflow stays reliable.
I care about code that's easy to read later, APIs that behave predictably, and systems that hold up when things get busy in production.
Role
Backend & AI Automation
Location
Pokhara, Nepal
Experience
3+ years
Focus
Reliable AI Workflows
Freelance Profiles
Production web engineering plus the controlled AI patterns I use to design useful automation.
AI & Automation
Backend
Databases & ORM
Messaging & Caching
Frontend
Mobile
Infrastructure & DevOps
AI workflows still depend on dependable APIs, authentication, databases, queues, observability, and deployment. These roles and projects are the engineering foundation behind my current automation work.
Lead product and backend engineering for an end-to-end property maintenance and trade coordination SaaS connecting clients, operators, and verified tradies across jobs, quotes, scheduling, documents, invoicing, payments, and compliance records. Contribute to architecture, secure file handling, notifications, dashboards, code review, and releases, and help shape early product architecture for MitrasTech X.
Built WebSocket notification and chat features supporting 500+ concurrent connections with under 100 ms delivery latency. Designed RabbitMQ and BullMQ workflows across three applications, integrated Stripe payment and secure upload flows, and containerised four production stacks with GitHub Actions, Nginx, and PM2.
Delivered backend APIs for 5+ client products, including admin dashboards, e-commerce platforms, and internal management systems. Introduced a modular NestJS architecture that became the team standard for three later projects, and improved three high-traffic endpoints by about 35% through Redis caching and query optimisation.
Delivered 10+ REST API, SaaS, e-commerce, and full-stack projects for international clients, managing requirements, API design, authentication, testing, deployment, and handover. Maintained a 5-star client rating and earned repeat work through clear communication and reliable delivery.
Developed backend API endpoints and front-end screens within 2-week Agile sprints alongside a senior engineering team. Followed production PR workflow from day one.
Contributed Express.js API features directly to live client codebases from the first week. Refactored MongoDB query structure on 2 high-traffic endpoints, cutting average response time by a measurable margin.
Completed 20+ video editing projects for international clients across YouTube, social media, and corporate content before transitioning into software development in mid-2023.
Start with one clear workflow, then build only the automation or software the process actually needs.
Map one repetitive business process, identify its bottlenecks, and separate fixed-rule automation from the steps where AI can add real value. The result is a practical next step, not an AI-for-everything pitch.
Controlled workflows that connect your existing tools, move and validate data, use AI for bounded tasks, and include logs, retries, permissions, and human review where the risk demands it.
Production services with clean APIs, authentication, databases, queues, caching, real-time features, and maintainable architecture—the engineering layer that makes automation and AI software dependable.
Custom business software from discovery and architecture through interface, backend, deployment, and handoff. Suitable when an off-the-shelf automation cannot reliably support the full process.
A compact section for showing how you think, what you can own, and why clients can trust the work after launch.
This is the place to turn “I build web apps” into something sharper: architecture judgment, reliability, ownership, and production taste.
Capability map
Backend-first, full-stack delivery.
Production experience
3+
years shipping apps across company roles, internships, and freelance work.
Build surface
API + UI
NestJS, Node.js, Next.js, React, databases, auth, deployment, and handoff.
Delivery style
End-to-end
From scoping and architecture to code review cycles and production fixes.
Delivery rail
A client-friendly view of how the work moves.
Clarify the workflow, constraints, user roles, edge cases, and what success should look like before code starts.
Map the API contracts, data model, auth rules, background jobs, and deployment shape so the app can grow safely.
Build small vertical slices, keep code readable, and make the project easy for another developer to inspect.
Handle failure states, validation, rate limits, observability, and the quiet details that make software reliable.
Open source tools and starters I've built and maintain. Free to use, fork, and improve.
CLI that fires up to 50 simultaneous requests at an endpoint to expose race conditions and data consistency bugs that sequential tools miss. Supports idempotency verification, config-based invariant checks, flaky endpoint detection, and multi-user JWT rotation. Published as a Docker engine, Next.js dashboard, and npm package — available via npx with no install required.
CLI that identifies and terminates the process blocking a given port in one command. Actively maintained developer utility that saves the 'what's on port 3000?' lookup every time.
Production guides on backend architecture, AI workflows, automation, and software delivery.

A practical 2026 guide to AI agents for small business: compare rules, workflows, and agents, choose the first use case, estimate a pilot, and keep high-impact decisions human.

A production architecture guide for MCP servers built with NestJS and TypeScript, covering tools, schemas, authorization, queues, idempotency, observability, and testing.

A production-focused decision framework for choosing Zapier, n8n, custom software, or a hybrid architecture based on risk, exceptions, ownership, and total cost.
Share the repetitive process, integration, backend system, web app, or mobile product you want to improve. I'll help identify the smallest reliable next step.
Short answers to the questions that usually come up before a project starts.
Book a free workflow callMost businesses should begin with one clear, repeatable workflow. We add AI or agent behavior only when changing decisions or tool use creates measurable value.
Common starting points include lead intake, support triage, document processing, recurring reporting, CRM updates, notifications, and moving verified data between tools.
AI automation is the priority offer, supported by custom websites, web applications, mobile applications, NestJS and Node.js APIs, databases, queues, integrations, and real-time systems.
The discovery process identifies what can be connected through existing APIs, automation tools, or a small custom service before recommending a larger rebuild.
Production workflows need validation, permissions, logs, retries, monitoring, and human review for uncertain or high-impact decisions—not only a model call.
Bring one repetitive process or software idea. We will identify the bottleneck and decide whether the next step is no change, simple automation, a controlled AI workflow, or custom software.