I am looking for a Generative AI, Applied AI, or Machine Learning Engineer role focused on building and exploring innovative AI solutions. I am particularly interested in research-driven and creative work involving LLMs, multimodal models, image generation, AI agents, and automation. My experience spans both traditional NLP and modern Generative AI. I have trained and evaluated models for tasks such as classification, semantic search, information retrieval, and document processing, and later developed LLM-powered chatbots, multi-agent systems, PoCs, and automated pipelines using tools such as LangChain and LangGraph. I have worked with models from OpenAI, Anthropic, Google, Meta, and other providers, as well as with fine-tuning, synthetic data generation, and prompt engineering. Most recently, I contributed to building synthetic web environments, tasks, tools, and evaluation pipelines for training and benchmarking Computer Use Agents. I also have research experience in generative computer vision, including GANs and diffusion models. I thrive in roles that combine experimentation, research, prototyping, and turning emerging AI capabilities into practical solutions.
