I am an entry-level AI Engineer and Machine Learning Developer with practical experience in Python, FastAPI, LLMs including OpenAI and LangChain, and cloud-native systems such as AWS and GCP. I specialize in designing agentic workflows, building Retrieval-Augmented Generation (RAG) pipelines with Neo4j and SQL, and applying advanced prompt engineering techniques to LLM applications across various domains. My hands-on experience extends to integrating Hugging Face NLP models, developing scalable and secure APIs, and deploying ML solutions using major cloud providers.
I view AI not just as a problem-solving tool but also as a powerful accelerator for learning and innovation. I rapidly adopt new technologies, prototype solutions, and validate concepts through test-driven experiments. This agile approach helps me iterate quickly and optimize AI systems effectively in production environments, ensuring high-quality, performant, and GDPR-compliant AI deployments.
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