I'm Adrian Dsouza — a |
"No Dream Ever Too Big and No Dreamer Ever Too Small"
Developer
Researcher
Educator
Musician
I'm Adrian Dsouza — a |
"No Dream Ever Too Big and No Dreamer Ever Too Small"
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Selected as NYU's delegate to the United Nations ECOSOC Youth Forum 2026 at UN HQ, New York. Delivered a resolution on AI, youth, and sustainable urbanisation.
View LinkedIn Post →Piano Grade 3 with Distinction. Featured in a Trinity College London case study and success story on music, discipline & AI.
Read Story →Built a Flask + BERT + LSTM + GPT-style AI web app. Won 1st place at NYU Tandon's 10-week Data Science Bootcamp.
View Post →Selected for the AI Engineering category. Building where cloud meets real-world AI impact, LLMs, RAG, agentic systems.
View Post →Attended AWS re:Invent 2025 in Las Vegas as an ABW Grant recipient. 5 days of agentic AI sessions, labs, and networking.
View Post →Attended as an ABW Grant recipient. 5 days of agentic AI sessions, labs, and networking in Las Vegas.
View Post →"Real-Time Network Intrusion Detection Using Machine Learning Technique" · 5 citations · 585 full-text views
View on IEEE Xplore →"Meta Optimized AI-Human Task Orchestration via Iterative Prompt Refinement", AgentFlow poster presentation, Oct 2025
View Post →I'm a Developer, Researcher, Educator, and Musician currently pursuing my Master's in Computer Science at New York University, Tandon School of Engineering (GPA: 3.92/4.0, Expected May 2026). I'm also a Research Assistant at the NYU Center for Conflict & Cooperation, where I analyze the use of AI in developed vs. developing countries using R Studio and computational methods.
With 3+ years of experience in software engineering, machine learning, and data systems, I've built production AI applications, cloud-native architectures, and scalable data pipelines. I've led teams at hackathons and bootcamps, and won them. At Alta (Alternate Assets for All), I led the development of an Investor Retention Dashboard that boosted stakeholder engagement by 25%, and built Python pipelines that cut data inconsistencies by 30%.
I've published research at the IEEE International Conference PuneCon 2022 on real-time network intrusion detection using machine learning, and presented at the NYU Meta-Research Symposium on AI-human task orchestration via iterative prompt refinement. My research interests span human-AI collaboration, AI safety, AI for social good, and scalable AI systems.
I was selected as NYU's delegate to the United Nations Economic & Social Forum for Youth 2026, where I delivered a resolution on AI, youth inclusion, and sustainable urbanisation. I'm a recipient of the AWS All Builders Welcome Grant (2025) and attended AWS re:Invent in Las Vegas. I'm also an AWS Community Builder (AI Engineering 2026, Data Track 2022) and Google Cloud Facilitator, having trained and mentored over 3,000 students in cloud computing.
I'm passionate about teaching and mentorship. As a Graduate Employee Adjunct at NYU, I lead the Innovation, Entrepreneurship & Science of Smart Cities program. I previously instructed a 5-week ML/Python summer accelerator for 40 NYC high-school students, and served as a Java Programming Teaching Assistant at NYU.
Beyond technology, I value holistic development. I completed Piano Grade 3 from Trinity College London with Distinction and was featured in a Trinity College case study on the fusion of music and technology. I earned Highest Commendation at the Model United Nations for impactful diplomacy and public speaking. I'm currently learning French and Italian.
I hold a Bachelor's in Computer Engineering from the University of Mumbai (Rajiv Gandhi Institute of Technology) with a CGPA of 9.76/10, where I served as President of the Computer Engineering Student Society, Coding Club, and Language Club, and as Technical Secretary of the Student Council.
