A bit about
myself
I'm an AI Engineer and Backend Developer with a research interest in Artificial Intelligence and Machine Learning. I build systems that work, from agent infrastructure to production ML pipelines.
My work spans research and engineering across AI, from exploring new ideas and building intelligent systems to taking them into production. I believe intelligence should be universal—not limited by language, geography, or access to resources.
When I'm not building or researching, I run training bootcamps and mentor people, because the best way to learn is to teach.
Publications & interests
Evaluating Parameter-Efficient Fine-Tuning for Cross-Lingual Natural Language Inference: A Case Study on Nepali XNLI
Shapkota, A. & Ghimire, S.
Study of Cross-lingual Natural Language Inference (XNLI) for Nepali using XLM-RoBERTa base, comparing full fine-tuning against parameter-efficient Low-Rank Adaptation (LoRA)
Research Interests
What I work with
Languages
ML & NLP
LLM Platforms
Backend & Systems
Databases & Cloud
Research & Data
Spoken Languages
Where I've worked
Lead Software Engineer (AI & Backend)
@ Kaylos SolutionsMelbourne · Remote
Architecting the company's core AI agent infrastructure. Building LLM pipelines, agentic workflows with function-calling tools, RAG pipelines, and vector databases for semantic search and retrieval-augmented generation.
Python and AI Engineer
@ Omway TechnologiesKathmandu
Automated manual data-processing workflows with Python. Built and deployed CI/CD pipelines using Docker and GitHub Actions.
Full Stack Developer
@ National Disability SolutionsSydney · Remote
Developed full-stack solutions collaborating with UX/UI designers to deliver accessible, user-focused applications.
Full Stack Developer
@ Neon MarketplaceKathmandu
Built and maintained the full-stack e-commerce platform from the ground up, supporting concurrent users.
Selected work
auth-utils
Open-Source npm PackageOpen-source authentication and security package with adapters for Redis, PostgreSQL, and in-memory storage. Includes CSRF protection and advanced rate limiting — token bucket, sliding window, and brute-force protection.
Tapyze
Digital Wallet & Payment PlatformAdvanced digital wallet with balance management, multi-user authentication, and REST API communication in real time. Architected for horizontal scalability with modular support for future features.
TapEz
Smart Tap-to-Pay SystemTap-to-pay payment system using a trained scikit-learn model to automatically detect and add items to cart in real time, with customer assistance during checkout.
Let's build
something together
I'm always open to new opportunities, research collaborations, or a conversation about AI.
© 2026 Amir Shapkota