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model serving frontier

I fine-tune and serve vision & multimodal models in production. One click away from exploring what's next.

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Projects

Featured

SursumAI: Self-Hosting Models

Your model. Your machine. Your URL. Deploy open-weight and custom models on your own hardware and get an OpenAI-compatible endpoint. No terminal, Docker, or GPU knowledge needed. Picks vLLM automatically on NVIDIA GPUs.

Self-Hosting vLLM Model Serving
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Tesla BEV Cam Clone

Bird's-eye-view perception system replicating Tesla FSD's surround-camera fusion pipeline for real-time vehicle and lane reconstruction.

BEV Perception Camera Fusion PyTorch
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Satellite multi-spectral segmentation

Privhti EO: Satellite Segmentation

Multi-spectral semantic segmentation of satellite imagery for Earth Observation, built for Privhti EO's geospatial intelligence platform.

Remote Sensing Multi-Spectral Segmentation
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KlipMind

Local video summarizer that runs entirely on-device. No data leaves your machine. Extracts key moments and generates structured summaries from any video file.

On-Device AI LLM Video Understanding
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DINOv3 multi-spectral similarity maps

DINOv3 Multi-Spectral Similarity Maps

Adapting DINOv3 self-supervised features to multi-spectral imagery for dense similarity mapping, enabling zero-shot land-cover analysis without labeled data.

Self-Supervised DINOv3 Similarity Maps
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Qwen3-VL LoRA fine-tuning terminal

Qwen3-VL Fine-tuning

CLI for fine-tuning and fast inference of Qwen3-VL with LoRA/QLoRA, adapting open-weight vision-language models to domain data with minimal VRAM.

LoRA/QLoRA Qwen3-VL Fine-tuning
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