AI/ML Engineer Remote
AI Studio
–
Built production AI pipelines, fine-tuned small language models with QLoRA, and integrated high-performance FAISS vector search with open LLM endpoints.
Available for opportunities
AI/ML Engineer ·
Computer science student in Kathmandu, Nepal, building production AI layers: large language models, retrieval-augmented generation, multi-agent frameworks and deep learning systems.
About
I am Amir Bhattarai, an AI/ML engineer and computer science student in Kathmandu, Nepal. I build machine learning and generative AI applications with Python, PyTorch, large language models, retrieval-augmented generation (RAG), FastAPI and the MERN stack.
My work focuses on practical AI systems: multi-agent applications, document question-answering, conversational and voice assistants that handle both English and Nepali, and deep learning models for computer vision.
Career path
AI Studio
–
Built production AI pipelines, fine-tuned small language models with QLoRA, and integrated high-performance FAISS vector search with open LLM endpoints.
Portfolio
Multi-agent resume screening pipeline with four-dimension candidate scoring (0–100), automated email outreach, IMAP ingestion and SQLite tracking.
Multilingual constitutional assistant powered by a QLoRA fine-tuned Phi-3 model and a LangChain/FAISS dual English–Nepali RAG pipeline.
Financial domain chatbot for Nepal Rastra Bank documents, answering in English, Nepali and Romanized Nepali using FAISS and Llama 3.3 70B on Groq.
Full-stack MERN agricultural e-commerce platform linking local farmers directly with produce buyers, with real-time inventory management.
Real-time academic inquiry voice bot combining Twilio telephony, Groq-backed RAG retrieval and a localized Nepali text-to-speech engine.
Computer vision web app using a PyTorch DenseNet121 model trained on agricultural datasets to detect plant diseases at 95% accuracy.
Capabilities
Qualifications
Udemy — instructor Angela Yu
Python programming, object-oriented design, web scraping, data science automation and backend framework integration.
Udemy — instructor Angela Yu
Full-stack development covering HTML5, CSS3, modern JavaScript, Node.js, Express, React and MongoDB.
Questions
He is an AI/ML engineer in Kathmandu, Nepal, building retrieval-augmented generation systems, multi-agent LLM applications, fine-tuned small language models and computer vision models, served behind FastAPI.
Python, PyTorch, LangChain, LangGraph, FAISS, Groq and open LLM endpoints, QLoRA fine-tuning, FastAPI, Node.js, Express, React, MongoDB, MySQL, SQLite, Docker, Git and Linux.
Yes. He takes on remote and freelance AI work, including RAG chatbots, document question-answering systems, LLM fine-tuning and computer vision projects. Email amirbhattrai861@gmail.com.
Yes. Several projects handle Nepali, English and Romanized Nepali, including a Nepal Rastra Bank financial assistant, a constitutional question-answering assistant and a voice agent with Nepali text-to-speech.
Collaboration
Connect
Kathmandu, Bagmati Province, Nepal
B.Sc. CSIT, New Summit College