Available for internships
Mijash
Gaunkuri.
Backend & AI Engineer
Building scalable backend systems and AI-powered applications with Python, FastAPI, PostgreSQL, and modern LLM technologies. I care about reliable architecture, grounded AI experiences, and tools that genuinely help people work better.
01 — About
Engineering systems with intent.
A backend-focused software engineer from Nepal, interested in the quiet work that makes software dependable.
I build APIs, data flows, and AI systems with a focus on strong foundations. My current interests span retrieval-augmented generation, vector databases, LLM applications, and cloud-native backend architecture.
I enjoy solving real engineering problems over building surface-level demos. Alongside a strong Python backend practice, I’m expanding into ASP.NET to become a more adaptable systems engineer.
Quick facts
- Location
- Nepal
- Degree
- BE in Information Technology
- Focus
- Backend · AI · REST APIs
- Languages
- English · Nepali
02 — Technical foundation
Tools chosen for the work.
A practical stack centered on robust APIs, data modeling, and modern AI retrieval systems.
Backend
AI / LLM
Databases
DevOps & Tools
03 — Selected work
Projects built as case studies.
Each project starts with an engineering problem and follows through to the architectural choices that make the solution credible.
CodeCompass
AI Codebase Assistant
Repository intelligence for developers who need answers with context, not guesswork.
TaskFlow API
Production-grade Task Management Backend
An opinionated, secure API foundation for multi-user task management.
NepalDocs Q&A
RAG for Nepali Government Documents
A trustworthy question-answering layer for dense public documents and policy PDFs.
04 — Education
Learning the fundamentals—and applying them.
A formal foundation in software engineering, supplemented by hands-on backend and LLM practice.
2020 — 2025
Bachelor of Engineering in Information Technology
Pokhara University · Cosmos College of Management & Technology
Coursework: Data Structures, Algorithms, Database Systems, Operating Systems, Software Engineering, Artificial Intelligence.
2018 — 2020
NEB · Science
United Academy · GPA 3.10
Continued focus: FastAPI, LangChain, LLM engineering, machine learning, and backend software development.
05 — GitHub
An open engineering trail.
A compact view of the repositories and tools I’m shaping in public.
06 — Contact
Let’s build something dependable.
I’m open to internship opportunities, backend collaborations, and conversations around practical AI systems.