I’m Amaan Khan, a UIUC master’s student and engineer working across computer vision, machine learning, data-intensive products, and reliable backend systems.
I like the hard middle: turning research ideas into systems people can actually use, measure, and trust.
Projects spanning computer vision research, real-time market analytics, and LLM-assisted information retrieval.
A four-stage monocular-video pipeline that detects vehicles, maintains trajectories, projects motion into bird’s-eye view, and scores pairwise collision risk.
A responsive analytics platform for live prediction markets, pairing a Next.js interface and interactive charts with a Python/FastAPI data layer.
A research-paper discovery pipeline that retrieves candidates, applies user constraints, and uses an LLM scorer to rerank for topic fit, method alignment, and practical usefulness.
A through-line from backend software to applied ML research and helping other engineers learn.
Supporting students across data science, statistical modeling, databases, and machine learning while helping refine the learning experience.
Led a web-based ML application that used financial data to predict loan approvals with an explicit focus on fairness and accuracy.
Worked across a public-facing web experience, workflow automation, and backend services for an entrepreneurship community.
Python · TypeScript · C++ · Java · SQL · R · Bash
PyTorch · TensorFlow · Scikit-learn · Transformers · XGBoost · OpenCV
FastAPI · Flask · Docker · Kubernetes · Airflow · Apache Spark
AWS · SageMaker · Google Cloud · Vertex AI · BigQuery
I’m pursuing a Master of Computer Science at UIUC after completing a B.S. in Information Sciences with a Computer Science minor. I’m happiest when the work asks for both mathematical reasoning and product judgment.
Artificial Intelligence · Deep Learning · Computer Vision · Machine Learning · Database Systems · Data Mining · Software Engineering
I’m interested in ambitious ML/AI and software engineering work with thoughtful people. Tell me what you’re solving.