Engineering & Research Labs
Bridging the gap between theoretical models and production systems.
Explore my experimental labs, open-source contributions, and engineering work.
21 projects found
Personal Project
ArtHome - Home Intelligence Layer
A comprehensive Home Assistant deployment with 27 automations, 12 scenes, and 20 dashboard views.
ArtLab - Personal HomeLab
A professional-grade homelab for self-hosting, MLOps, and network security.
ArtSite - Personal Research Hub
A modern portfolio and experimental lab built on the Nuxt ecosystem and deployed to Cloudflare Workers.
ArtLab Theme - Cross-Platform Design System
A cross-platform color theme for VS Code, Home Assistant, Zed, and Ghostty.
Research Project
Krum - Byzantine-Resilient Distributed Learning
Open-source framework for Byzantine-resilient aggregation in distributed learning, developed during my M2 internship at CMAP.
Generalization Bounds for Two-Layer Neural Networks with ReLU
Derivation of tight generalization bounds for two-layer ReLU networks using scale-invariance and symmetrization inequalities.
Dropout Reduces Underfitting
Reproduction of "Dropout Reduces Underfitting" with TensorFlow/Keras, comparing Early and Late Dropout strategies.
Academic Project
ArtStudies - Academic Projects Collection
A collection of academic projects in mathematics and data science from my university studies.
Intelligent HR Onboarding Assistant
An AI-powered assistant for streamlining HR onboarding processes and improving new hire experience.
Reinforcement Learning for Tennis Strategy Optimization
Reinforcement learning algorithms applied to Atari tennis matches for strategy optimization and competitive benchmarking.
Implied Volatility Prediction from Options Data
Predicting implied volatility using advanced regression techniques and machine learning models on financial options data.
Wind Risk Modeling - The 1999 Martin Storm
A comprehensive analysis of wind risk modeling during the 1999 Martin Storm using statistical methods and spatial analysis.
Monitoring & Segmentation of Tuberculosis Cases
An interactive data visualization project using R and R Shiny.
Breast Cancer Detection
A project comparing supervised classification models to predict breast cancer presence using machine learning.
Generalized Linear Models for Bikes Prediction
A project applying Generalized Linear Models to predict bike rentals based on environmental and temporal features.
Machine Learning for Loan Prediction
A project applying machine learning to predict loan approvals and assess default risk.
Monte Carlo Methods Project
A project implementing various Monte Carlo methods and algorithms in R.
Schelling Segregation Model
A project implementing the Schelling Segregation Model in Python.