Hire Stable Diffusion Developers
Edwin Villacis
Edwin is a full-stack developer with 15 years of experience leading project teams, including in a Fortune 500 company. He specializes in implementing CI/CD pipelines and using diverse programming languages, such as JavaScript, React, Node.js, Java, JEE, Python, HTML-5, CSS, Bootstrap, AWS, RESTful APIs, and React Native. Edwin is also an expert in implementing agile methodologies, namely Scrum, Scrumban, extreme programming (XP), and capability maturity model integration (CMMI).
Show MoreMeghana Bhange
Meghana is a machine learning engineer with a passion for solving problems in a data-driven manner. She is currently pursuing her PhD with a research focus on responsible AI systems at the Trustworthy Information Systems Lab, ÉTS Montréal. She has experience in natural language processing and has previously published work at SemEval-2020. Meghana is passionate about working on creative projects and always looks for new ways to apply her skills.
Show MoreAmr Mashlah
Amr is an AI product engineer and founder with 10+ years of experience turning business workflows into production AI tools. He works across GenAI, large language models (LLMs), computer vision, automation, APIs, and full-stack delivery, helping clients move from idea to deployed systems. As the founder of PatternedAI, Amr has built AI-powered design tools for fashion and textile teams, combining image generation, workflow automation, and practical product thinking.
Show MoreFelipe Batista
Felipe has over 10 years of experience in machine learning and full-stack software development. He is currently focused on leveraging cutting-edge generative AI to build incredible full-stack AI products, ranging from state-of-the-art retrieval-augmented generation (RAG) systems to complex image generation pipelines based on Stable Diffusion. Felipe is proficient with a variety of relevant libraries and technologies, including LlamaIndex, LangChain, PyTorch, Diffusers, and DeepSeek.
Show MorePatricia Cobelli
Patricia is a self-taught machine learning engineer with expert knowledge of computer vision. She can handle every step of a machine learning solution, from data engineering to model training and deployment on AWS. Patricia is finishing her master's studies and collaborating on her thesis with researchers at Brown University.
Show MoreDan Panu-Misailescu
Dan builds products from ambiguity, taking them from zero to launch and scaling them into reliable systems. From an MVP that secured $6 million in seed funding to an AI-powered product presented at Google I/O, he turns ambitious ideas into business value. With 15 years of experience, he shapes product and technical strategy, translates complex needs into solutions, and leads engineering teams while also working as an individual contributor.
Show MoreArthur Islamov
Arthur is a professional software engineer. In the last 15 years, he has made his way from creating small corporate websites to complex services with more than a million hits per day. During that period, Arthur worked alone, with teams, hired his own teams, and helped others as a consultant, improving their project's code and performance. Arthur now specializes in neural networks.
Show MoreLilit Yolyan
Lilit is an applied scientist with more than six years of experience. She's enthusiastic about solving real-life, everyday problems with computer vision, digital signal and image processing, and neural network development. She works with an end-to-end AI pipeline, from problem definition, data cleaning, and preparation to modeling, testing, and preparing the model for further deployment.
Show MoreShivam Garg
Shivam is a senior AI engineer with over 7 years of hands-on experience in deep learning and artificial intelligence. Proficient in various deep learning frameworks such as PyTorch, Hugging Face, TensorFlow, and Keras, he excels in generative AI, Stable Diffusion, and large language models (LLMs). Furthermore, Shivam stands out for his extensive expertise in classical computer vision.
Show MoreAayush Garg
Aayush is a Senior ML Engineer with 7+ years of experience building production AI systems for Toptal and Fortune 500 clients. He takes generative AI and LLM/VLM technologies from prototype to production, from multi-agent systems and AI automation pipelines to LoRA fine-tuning and model deployment at scale. Aayush brings deep research experience and a PhD in high-performance geophysical computing.
Show MoreShubham Agarwal
Shubham Agarwal is an AI engineer with 10+ years of experience in machine learning, NLP, and deep learning. He specializes in retrieval-augmented generation (RAG), multi-agent AI systems, and diffusion models. Proficient in Python, PyTorch, and scalable AI architectures, he has built LLM-powered autonomous agents, graph-based retrieval systems, and production AI workflows, optimizing inference and deploying AI at scale.
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