Hello! I'm Aditya 👋

I like to tinker with things, especially software. I like to take them apart and build them from scratch. I have worked on various software projects, some of which are accessible online. My portfolio is mostly full-stack web applications, robotics, and machine learning.

Work Experience

• NYU Agile Robotics And Perception Lab: I was responsible for creating and maintaining Docker/Singularity images for for the lab's pipeline on various platforms. Later, I conducted research on multi-robot collaboration problems.
• NYU Building Informatics and Visualization Lab: Initially, I was involved in data annotation work, but eventually I worked on fine tuning SAM for segmenting defects on facade images and also trained DCGAN from scratch. Won 3rd Place Prize in NYU Tandon Research Excellence Exhibit 2024.
• MindsDB: I integrated eight services with the platform including Pinecone and PyCaret during Hacktoberfest.
• Central Road Research Insitute of India: I designed and built two Docker-compatible CRUD applications using FastAPI, React, Flask, Nginx, and PostgreSQL. The applications involved geographical data processing, data ingestion, and report generation.
• Purdue University: I was an undergraduate teaching assistant for CS-252 Systems Programming course involving programming low level utilities like shell and malloc in C. I conducted labs, held office hours and graded students.
• Cummins: I developed a microservice in AWS Lambda and DynamoDB along with developer SDK in Java for internal use. Won 3rd Place Prize with a team of 4 other members for an intern hackathon to integrate DevSecOps into company’s workflow. My work involved writing the policy document.

Publications

• Zhou, Y., Shetye, Y., Super, D., Quang, L., Milzman, J., Azad,A., Dhake, D., Mao, J., Nieto-Randa, C., & Loianno, G. (2025). ARGOS: A Unified Inference Framework for Deploying Decentralized Multi-Robot Collaborative Learning. IEEE International Conference on Robotics and Automation. (Submitted)
• Kiper, B., Dey, N., Azad, A., & Ergan, S. (2024). Evaluating GAN Architectures for Generating Images of Defective Façades. ASCE International Conference on Computing in Civil Engineering.

Education

• New York University: Masters Computer Science
• Purdue University: Bachelor Computer Science, Minor in Business Economics, Certificate in Entrepreneurship

Consider getting in touch

You can find most of my software projects on GitHub. I don't check X and LinkedIn regularly, but feel free to reach out there. Find my research on Scholar. I also like to paint occasionally.