Anton Ganichev

Computer Vision Engineer & AI Consultant · Generative AI (Image/Video) · Instructor

I do research and prototyping in computer vision and generative models for images and video. I help research and engineering teams apply AI in practice, combining hands-on implementation with mentoring and knowledge transfer. My recent focus is conditional generation and diffusion-based image/video editing.

26+ years in IT / software development.

What I deliver

• Hands-on prototypes/baselines (notebooks/scripts) for CV and generative workflows, built for reproducible iteration
• Method and architecture reviews: selecting viable approaches, clarifying assumptions/risks, defining an experiment roadmap
• Mentoring and technical guidance: deep learning for scientific research (PhD-level, cross-domain) + project guidance for interns/juniors (code + experiment reviews)

Primary focus

• Controllable generation & editing (diffusion-based): spatial/reference conditioning; img2img/inpainting/inversion workflows
• Video CV: detection + tracking pipelines, evaluation pitfalls, and practical integration patterns
• Segmentation & multi-task learning: modern architectures, losses, mask processing, dataset/annotation nuances

Background (familiar topics)

• Deployment basics (Docker; general awareness of ONNX/TensorRT)
• LoRA / parameter-efficient tuning (conceptual + practical exposure)
• Depth estimation, VLM-based anomaly detection, data unlearning (study-level)

Primary tools: Python · PyTorch · Linux · Git · Docker · OpenCV · torchvision · Transformers · Diffusers · Hydra
Used as needed: Ultralytics YOLO · Stable Diffusion / Flux · ControlNet · ComfyUI · CLIP

Work format

Remote · contract / consulting · training / curriculum development.
English: B2 (Upper-Intermediate), spoken.
Contact: gan4x4@gmail.com.