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Diogo G.

Diogo G.

Generative AI · Mid-level

Available profile

Professional Overview

 I am Diogo Gonçalves, a highly motivated and versatile Full Stack Developer with a strong foundation in web and software development. I hold a degree in Information Technologies and Systems for the Web from ESMAD - P. Porto, where I graduated with a solid academic record. Over the past few years, I have accumulated substantial experience in both back-end and front-end development, specializing in Java, SQL, JavaScript, and a wide array of web technologies including HTML, JSP, and RESTful services.My professional journey began with internships at CM Vila do Conde and PHC Software, where I honed my skills in developing robust software solutions and gained hands-on experience in improving software architecture. Currently, as a Junior Full Stack Developer at PHC Software, I support product development teams by providing technical expertise and enhancing our service layer's architecture.I am passionate about artificial intelligence and continuously seek to expand my knowledge in this exciting field. My approach to work is characterized by a strong sense of initiative, responsibility, and integrity. I thrive in collaborative environments and am committed to delivering high-quality solutions that drive innovation and efficiency.Beyond my professional interests, I am an enthusiastic sports fan and enjoy staying active, whether it's playing or watching sports. I believe in maintaining a positive and optimistic outlook on life, which helps me stay motivated and ready to tackle any challenges that come my way.I am excited about the opportunity to leverage my skills and experience in AI projects and contribute to cutting-edge technological advancements. Let's connect and explore how we can achieve great things together."This biography emphasizes your educational background, professional experience, technical skills, and personal interests, providing a well-rounded picture of you as a candidate. 

Areas of Expertise

NLP & Prompt Engineering

Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.

AI & Machine Learning Engineers

Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.

Other Generative AIs available for hire

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