Tanush Paradeshi
Hello I’m Tanush, a junior at Carnegie Mellon University studying computer science. I enjoy building things across web and mobile development, machine learning, and data science, with projects spanning computer vision, bioinformatics, and computational modeling of physical systems. I’m particularly interested in math, probability, and algorithms, and I’ve also spent time doing competitive math and programming.
Education
Carnegie Mellon University
B.S. Computer Science
Relevant Coursework
- Data Structures & Algorithms (15-122)
- Introduction to Computer Systems (15-213)
- Artificial Intelligence and Machine Learning (07-280)
- Parallel Computer Architecture and Programming (15-418)
- Parallel & Sequential Data Structures and Algorithms (15-210)
- Functional Programming (15-150)
- Great Theoretical Ideas in Computer Science (15-251)
- Discrete Mathematics (21-127)
- Linear Algebra (21-241)
- Multivariable Calculus (21-259)
- Intro to Statistical Inference (36-226)
- Probability Theory (21-325)
Skills
Proficient Programming Languages
Python, C/C++, Java, JavaScript, HTML/CSS, SQL, R, MATLAB
Tools / Frameworks
Git, Docker, PyTorch, TensorFlow, Django, MongoDB, Flask, React Native, Angular, CUDA, scikit-learn, NumPy, Pandas, OpenCV, Google App Engine, AWS EC2, Firebase
Projects
CellCounter: Cell Count Estimation in Spatial Transcriptomics
Computer vision pipeline for inferring cell counts from Visium spatial transcriptomics histology images (StarDist + OpenCV).
Cone Beam CT Scan Radiomics ML Pipeline
Radiomics + ML pipeline on Cone Beam CT scans to predict medical outcomes (feature selection + classical ML).
Transcranial Magnetic Brain Stimulation Optimization
Large-scale finite-element modeling and unsupervised learning for optimizing deep transcranial magnetic stimulation.
Machine Learning–Based Diagnosis of Retinitis Pigmentosa
ML–based diagnosis of retinitis pigmentosa from retinal images, deployed as an end-to-end mobile React application..
UCI Online Learning and Decision Neuroscience Experiments
Three Javascript-based web experiments analyzing human estimation, feedback learning, and crowd behavior.
Procedurally Generated 3D Maze Game
3D maze escape game with raycasting, procedural generation, and adversarial agents.
AnkiLite: Time-Aware Spaced Repetition Learning System
Full-stack Anki-inspired flashcard system with configurable scheduling, time-aware grading, and both spaced-repetition and cram review modes.