I’m a developer, researcher, and educator with 2+ years of hands-on work across software engineering, machine learning, and data systems. I’m pursuing my M.S. in Computer Science at NYU, where I’ve shipped production-level AI features, built scalable cloud services on AWS, GCP, and maintained reliable data pipelines.

Please connect with me on Linkedin: https://www.linkedin.com/in/adrian-dsouza-b84a7a1b0/

I’ve led award-winning projects, including a first-place finish at the NYU Data Science Bootcamp and built an AI task-orchestration platform that balances work between AI agents and human reviewers using Meta-Llama-3, RAG, FAISS, and asyncio. Earlier at Alta (Alternate Assets), I delivered a user-retention product end to end: cleaning and transforming datasets in Python/SQL and exposing insights to the frontend as an interactive Sankey flow.

I care about rigor and impact. I presented my work at the NYU Meta-Research Symposium and published a paper in an IEEE conference. I also teach ML and Python to high-schoolers at NYU’s STEM Center under the K12 program. Outside tech, I’m a lifelong musician; Trinity College London featured a case study on my path from music to engineering. I’m now looking for roles in Software Engineering, AI/ML Research, or Data Engineering where I can help build useful products, scale intelligent systems, and contribute to mission-driven teams.