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I’m a Software Developer, AI Engineer, and Educator with 2+ years of hands-on experience across software engineering, machine learning, and data-driven systems. Currently pursuing my Master’s in Computer Science at NYU, I’ve built production-level AI applications, scalable cloud architectures, and data pipelines using AWS and GCP. I’ve led award-winning projects, including a first-place finish at the NYU Data Science Bootcamp and engineered AI Task Orchestration platforms that intelligently balance work between AI agents and human expertise (using Meta-Llama3, RAG, FAISS, and asyncio). My AI-powered Photo Library on AWS S3/Lambda/DynamoDB achieves sub-200ms intelligent search an architecture I’ve also written about for technical audiences. Previously, as a Data Analyst at Alta (Alternate Assets), I created a User retention product, that analysed and transformed the data and delivered it to the frontend system, to be rendered as a sankey chart. I am also take great interest in research, which lead me to publish a paper in IEEE international conference. Beyond tech, I’m a lifelong musician and educator — I teach ML/Python to high-schoolers at NYU’s STEM Center, and Trinity College London is publishing a case study on my journey from music to tech. I bring strong leadership, collaboration, and storytelling to every project I touch. I’m now seeking opportunities in Software Engineering, AI/ML Engineering, or Data Engineering, where I can build impactful products, scale intelligent systems, and collaborate with mission-driven teams.

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Adriandsouza

Adriandsouza

I'm a Computer Science Graduate student at New York University. I am passionate on researching and creating content around LLM, RAG NLP, and scalable systems.