Open to work · Based in Kathmandu, Nepal

Ashok Neupane

{ AI Engineer | Software Engineer }

Building systems at the frontier of LLMs, diffusion models, 3D generative AI, and computer vision — from research prototype to production.

2.5yrs Freelance AI
255+hrs Teaching AI
10+ Hackathon Wins
2 Research Papers

Engineering AI that actually ships.

I'm an AI Engineer finishing my Computer Engineering degree at Pulchowk Campus, Tribhuvan University — where I ranked 47th nationally among 15,000+ candidates. I've spent the past three years building AI systems that live beyond notebooks: deployed RAG agents, fine-tuned diffusion pipelines, 3D scene generators, and deepfake detectors.

My work spans both ends of the AI stack. On the research side, I have a paper accepted at CVPR 2026 Workshop and another under review. On the engineering side, I've delivered production systems for freelance clients, shipped at Sceneverse.ai, and taught 255+ hours of AI to developers across Nepal.

I care about systems that are controllable, efficient, and real — not demos that look good in slides.

AI / ML

PyTorchTensorFlowTransformers Diffusion ModelsRLHFRAG VLMsBERTEdge AI

LLM / GenAI

LLM ApplicationsEmbeddingsVector Search Prompt EngineeringOpenAI APILangChain Inference Optimization

Engineering

PythonC/C++FastAPI DockerPostgreSQLReact AWSAzureCUDA/GPU

Where I've Built Things

Jan 2025 — May 2025 Full-time

Machine Learning Engineer

Sceneverse.ai

  • Built 3D generative AI training and inference workflows for indoor scene synthesis, focusing on controllability, realism, and scalable experimentation.
  • Developed synthetic data pipelines for photorealistic 3D asset rendering inspired by Apple's Hypersim dataset.
  • Trained and evaluated 3D scene foundation models using GPU compute, computer vision, and generative modeling.
Jan 2024 — Present Freelance · 2.5 yrs

Freelance AI Engineer

Independent

  • Built an end-to-end text-to-video pipeline using LLM script generation, diffusion-based lip sync, audio-visual alignment, and voice cloning.
  • Built a RAG-based grading agent for schools in Kathmandu Valley using document retrieval and LLM reasoning.
  • Developed an AI-enabled Chrome extension for QA automation, reducing flaky frontend tests via dynamic selector mapping.
  • Built ultra-lightweight VLM-based deepfake detection achieving 98.7% accuracy on seen generators and 87.3% on unseen.
Oct 2024 — Jan 2025 Teaching · 255+ hrs

AI & Programming Tutor

Independent

  • Delivered 255+ hours of Python, prompt engineering, agentic AI, and RAG training across individual clients and software fellowship cohorts.
  • Taught LLM application development: embeddings, retrieval, prompt design, API usage, evaluation, and Python automation.
Dec 2022 — Feb 2024 Fellowship · 15 months

AI Fellow

Fusemachines

  • Completed a year-long AI fellowship covering ML, deep learning, computer vision, NLP, model deployment, and production ML workflows.
  • Implemented and deployed deep learning models using Python, PyTorch/TensorFlow, preprocessing pipelines, and API integration.

Selected Work

03

Human Action Recognition

VideoMAE-based model with 95%+ accuracy on Nepali video datasets. Log-linear sequence scaling for efficient long-video inference. Built with Khalti.

VideoMAEVideo TransformerPyTorch
04 KU Hackfest Winner

Fashion Virtual Try-On

Fine-tuned IDMD diffusion models for 20× faster virtual try-on without fidelity loss. Evaluated CatVTON, IDM-VTON, and OOTDiffusion pipelines. KU Hackfest AI Track Winner.

DiffusionComputer VisionGarment Transfer
05

Olympic Sentiment Analysis

FastAPI + React web app with custom BERT model for real-time sentiment analysis of Olympic social media posts. GeeksForGeeks Hackathon runner-up.

BERTFastAPIReactNLP
06

Adaptive Traffic Light System

Intelligent traffic control using ESP32, Arduino, and computer vision for real-time vehicle detection and classification. Automated signal timing based on live traffic counts.

Computer VisionIoTESP32Arduino
07 98.7% Accuracy

VLM Deepfake Detection

Ultra-lightweight VLM system for real vs. AI-generated image classification. 98.7% on seen generators, 87.3% on unseen — strong generalization for a deployable solution.

VLMPyTorchEdge AI
08

RAG Grading Agent

End-to-end RAG pipeline for automated exam grading in Kathmandu Valley schools. Document retrieval, LLM reasoning, prompt evaluation, and workflow automation.

RAGLangChainLLMsFastAPI

Awards & Achievements

CVPR Workshop 2026 — 3D Scene Synthesis paper accepted and presented in Denver
2026

CVPR 2026 Workshop

3D Indoor Scene Synthesis paper accepted and presented at the 3rd Synthetic Data for Computer Vision Workshop, Denver, Colorado.

KU Hackfest AI Track Winner
Nov 2024

KU Hackfest — AI Track Winner

Won the AI track at KU Hackfest with the Fashion Virtual Try-On system powered by fine-tuned diffusion models.

Hackademia 2 Best AI Product
Sep 2024

Hackademia 2 — Best AI Product

Recognized for the Best AI Product at Hackademia 2, demonstrating real-world impact and engineering quality.

GeeksForGeeks Geek-A-Thon Winner
Aug 2023

Geek-A-Thon Winner

Won the Geek-A-Thon hackathon organized by GeeksForGeeks, competing against top engineering students.

Leo Club Ideathon Winner
Dec 2024

Leo Club Ideathon Winner

Won the Leo Club Ideathon for innovative AI-driven solution addressing real-world social challenges.

· Samsung Innovation Campus — Top 30 Nationally
· Gen AI & LLMs — Top 20, Pulchowk Campus
· Engen Hacks Winner · Oct 2023
· BE Model Winner · Pulchowk Campus · Jan 2024
· All Nepal Civil Engineering Model Winner · May 2025
· Civil Engineering Hackathon Winner · Dec 2024
· National Rank 47 / 15,000+ Engineering Candidates

Let's Build Something.

I'm actively looking for AI engineering roles — production, research, or both. If you're building something worth caring about, let's talk.