About

Hi, I'm Aditya! I'm an AI/ML Engineer based in New York, NY. I build production machine learning systems using XGBoost, PyTorch, and TensorFlow, and deploy scalable ML pipelines on AWS SageMaker and Lambda with real-time inference via FastAPI. Currently pursuing my MS in Computer Science at Pace University, expected May 2026.

When I'm not coding, you'll find me exploring new technologies, listening to music, or reading about the latest in AI and software engineering.

Tech stack

• ML & AI: TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, SHAP, SVD, Feature Engineering, Recursive Feature Elimination (RFE), MLOps, Collaborative Filtering, Survival Analysis, FAISS, Vector Databases
• Languages: JavaScript (ES6+), Python, TypeScript
• Cloud & DevOps: AWS (SageMaker, Lambda, EC2), Docker, FastAPI, Google Cloud Platform
• Frameworks & Libraries: React, Node.js, Express.js, Flutter, SwiftUI
• Databases & APIs: PostgreSQL, MySQL, MongoDB, Firebase, REST APIs
• Tools: Git, GitHub Actions, Postman, VS Code

What IDE do I use?

Visual Studio Code.

What software do I use daily?

VS Code, GitHub, Postman, Slack, Discord, and Chrome DevTools.

What are your hobbies?

Building side projects, exploring AI tools, reading tech blogs, listening to music, and watching documentaries.