Esha R.

💡 Gold Medalist in AI & ML | 6+ Years in AI Engineering & Visual AI Systems 🚀 Turning Complex Visual AI Challenges into Production-Ready Solutions I am a specialized Stable Diffusion Engineer with deep expertise in Generative Art and Visual Content Automation. My core focus lies in building end-to-end image and video generation pipelines, fine-tuning diffusion models, and designing advanced ComfyUI workflows from concept to deployment. I work closely with brands on UGC, webstore, and e-commerce content, providing AI-driven image and video solutions that leverage diffusion-based models across every stage from creative ideation to production-ready assets ensuring high-quality, scalable results for diverse business needs. Whether you need a custom LoRA model trained on your brand's visual identity, a production-grade ComfyUI pipeline, or an AI-powered video generation system, I bring the technical depth to deliver it at scale. Expertise & Technologies 🔹 ComfyUI & Generative AI Pipelines ComfyUI - custom node development, workflow design & optimization Stable Diffusion (SD 3.5, SDXL, SD3, Flux, Qwen) - full pipeline control LoRA, DreamBooth, Textual Inversion - model fine-tuning on custom datasets ControlNet, IP-Adapter, AnimateDiff, Inpainting, Outpainting Prompt engineering, CFG tuning, sampler optimization 🔹 Image Generation & Diffusion Models Stable Diffusion, Midjourney API integration, DALL·E, Nano Banana Style transfer, image-to-image, inpainting, outpainting Character consistency, product photography automation Batch generation pipelines for commercial use cases 🔹 Video Generation & AI Video Editing Sora 2, Wan2.2, LTX-2, Veo 3, Wan 2.6, Kling 2.5, Runway Gen-4.5, HunyuanVideo-I2V Text-to-video and image-to-video pipelines AI-driven video upscaling, frame interpolation, post-processing Automated video content generation workflows 🔹 Computer Vision Object detection & tracking - YOLOv8/v9/v10, OpenCV Instance segmentation, pose estimation, OCR Real-time vision pipelines for production environments Custom model training on domain-specific datasets (PyTorch, TensorFlow) 🔹 Full-Stack AI Integration & Deployment End-to-end AI deployment - from model training to production-ready APIs GPU Cloud Platforms: RunPod, Vast.ai, AWS (EC2, S3, Lambda, Bedrock), Hetzner , cost-optimized GPU provisioning for inference & fine-tuning Backend & API Development: FastAPI, Node.js - building robust REST APIs and inference endpoints around AI models LLMs & AI Agents: LangGraph, RAG, GPT-4, Mistral, DeepSeek, LlamaIndex DevOps & Infrastructure: Docker, Kubernetes, CI/CD - containerized model serving, auto-scaling inference pipelines Database & Vector Storage: PostgreSQL, Firebase, Pinecone, Neo4J 💡 Let's build your Visual AI system - from model fine-tuning to full pipeline deployment.