Hi, I'm Ayush K.C.

AI/ML Developer

I build AI/ML systems that turn research ideas into usable products, with a focus on deep learning, computer vision, and audio intelligence.

About Me

Get to know more about my background, experience, and what drives my passion for development.

Ayush K.C. - AI/ML Developer

I'm an AI/ML developer focused on building practical, reliable systems that turn data into real-world outcomes. My work centers on deep learning, generative models, and applied research.

I enjoy experimenting with new architectures, training workflows, and sharing what I learn through projects and open-source contributions.

Kathmandu, Nepal
ayushkc078@gmail.com
Available for new projects

Skills & Technologies

A focused mix of AI/ML expertise with solid web and backend foundations.

ML Focus Areas

Machine LearningDeep LearningComputer VisionGenerative AIImage ProcessingAudio Processing

ML Frameworks

PyTorchTensorFlowscikit-learnKerasHugging FaceOpenCVNumPy

Data & Visualization

PandasMatplotlibSeabornJupyterSQL

MLOps & Deployment

FastAPIModel ServingAPI DeploymentDockerKubernetesCI/CD (Jenkins)

Backend & APIs

Node.jsExpressREST APIsMongoDBPostgreSQL

Frontend

ReactNext.jsTypeScriptTailwind CSSJavaScriptHTML/CSS

Developer Tools

GitLinuxVS Code

Featured Projects

A selection of AI/ML projects focused on generative vision and audio enhancement.

Image Colorization with Diffusion
Image Colorization with Diffusion

Trained a diffusion-based model to colorize grayscale images using the COCO 2019 dataset, focusing on realism, structure preservation, and stable training.

PyTorchDiffusion ModelsCOCO 2019CUDAComputer Vision
Noise2Noise Audio Denoiser
Noise2Noise Audio Denoiser

Built a 20-layer deep complex U-Net for speech enhancement using the Noise2Noise paradigm, improving clarity without paired clean targets.

PyTorchNoise2NoiseDeep Complex U-NetSignal ProcessingAudio ML
Road Damage Detection System
Road Damage Detection System

Developed a multi-class road damage detector with YOLOv8s on RDD2022 to identify potholes, longitudinal cracks, transverse cracks, alligator cracks, and other road surface defects.

YOLOv8sRDD2022Computer VisionMLOps PipelineFastAPI

Get In Touch

I'm always interested in new opportunities and collaborations. Let's discuss how we can work together!

Send me a message

Let's connect

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.

ayushkc078@gmail.com
📍Kathmandu, Nepal