Open to opportunities

Anil Paudel

@anilpaudel

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AI Engineer specializing in production-ready ML systems, LLMs, and scalable automation.

Nepal

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What I'm looking for

I seek roles building scalable, production-ready AI systems (LLMs, OCR, RAG) with strong CI/CD, deployment, and team collaboration.

I am an AI Engineer with hands-on experience in machine learning, deep learning, and large language models, focused on building production-ready applications using PyTorch, FastAPI, and Docker. I have developed retrieval-augmented generation (RAG) pipelines, fine-tuned LLMs for live inference, and created synthetic datasets to improve reasoning and alignment.

I build end-to-end systems spanning OCR, document understanding, and agentic chatbots, and I automate deployments with containerization and CI/CD. My work includes state-of-the-art handwritten text recognition for Devanagari scripts, layout-aware extraction of structured data, and full-stack integration for deployable ML services.

Experience

Work history, roles, and key accomplishments

Current

LLM Research Engineer

Current

Digital Dandelion

Mar 2025 - Present (7 months)

Built retrieval-augmented generation (RAG) pipelines for medical decision support, deployed fine-tuned LLMs and APIs for live inference, and created synthetic datasets to improve model reasoning and alignment.

RAG Large Language Models PyTorch fastAPI Docker Synthetic Data API Development

AI Fellow

Fusemachines

Apr 2024 - Oct 2024 (6 months)

Developed end-to-end handwritten document conversion using TrOCR and YOLOv8 and built layout-aware OCR pipelines for real-world documents to improve extraction accuracy.