Machine Learning Engineer

• Fine-tune & Adapt – Train and customize diffusion models (SDXL, Flux, Stable Diffusion variants) using LoRA, DreamBooth, and other parameter-efficient methods.
• Curate Datasets – Build, clean, and annotate large-scale image datasets with captioning, tagging, and NSFW filtering for safe and aligned generation.
• Evaluate & Align – Develop pipelines to measure fidelity, diversity, style adherence, and safety across generated outputs.
• Optimize Performance – Apply GPU memory optimization, latent diffusion tricks, and distributed training for efficient scaling.
• Deploy & Monitor – Ship diffusion-powered features into production with monitoring for drift, latency, and quality.
• Collaborate & Deliver – Work with product and design to integrate generative vision capabilities into user experiences.

Machine Learning Engineer, Diffusion, Vision

Applied AI Engineer

Founding Engineer, AI

Founding Machine Learning Engineer

AI Developer