Repositories
A collection of my open-source projects and code experiments.
Featured Projects
1. Traditional Machine Learning
This is a collection of traditional ML learning projects,all included: Support Vector Machines (SVM),Hidden Markov Models (HMM),Naive Bayes,Decision Trees,Linear Regression,Logistic Regression, and k-Nearest Neighbors (k-NN).
View Repo2. MLOps & ML System.
This is a collection of MLOps related projects which include: apis, pipelines, orchestration, monitoring, and more. README in spanish (sorry for that)
View Repo3. System-Infra for AI
This is a set of tools , frameworks, services to check : latency vs throughput, performance, concurrency,job scheduler, multiprocessing / threading, GPU, HPC.
View Repo4.Data Structures & Algorithms
High-performance implementations of core DS&A, optimized for time and space complexity. This repository serves as a reference for clean, idiomatic Python code applied to complex problem-solving..
View Repo