Hi, I'mArturo Aliaga
I create innovative digital experiences with cutting-edge technologies
Specializing in building exceptional digital experiences that combine beautiful design with powerful functionality. From AI-powered applications to real-time systems, I bring ideas to life with code.
Tech Universe
An immersive visualization of my technical skills and expertise
Featured Projects
Explore my most significant work and technical achievements
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Professional Journey
My career path, education, and professional achievements
Freelancer – Data Analyst & Fullstack Developer
Self-employed
- Transformed business requirements into responsive digital applications by employing modern frontend and mobile development technologies including React, Next.js, and Flutter.
- Developed scalable and high-performance APIs utilizing Node.js, Express, Spring Boot, Flask, and FastAPI by structuring endpoints for modularity and applying authentication and authorization strategies.
Fullstack & Machine Learning
Uplabs AI
- Designed and developed intelligent automation solutions leveraging OCR, clustering, embeddings, and natural language processing (NLP) techniques.
- Built robust data extraction pipelines using OpenCV, Tesseract, and custom NLP models to process scanned documents and unstructured text.
Professional Certifications
A collection of professional credentials that showcase my commitment to continuous learning and expertise in AI, data science, and modern development practices.
RAG for Generative AI Applications Specialization
4-course specialization focused on building GenAI applications using Retrieval-Augmented Generation (RAG). Covers advanced RAG frameworks like LangChain and LlamaIndex, vector databases (FAISS, Chroma DB) for semantic search, and designing complete RAG apps with Gradio, Python, and LLMs including IBM Granite, Llama, and GPT.
Data Science: Machine Learning
Eighth course in the HarvardX Data Science Professional Certificate. Covers popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system. Includes training data concepts, prediction algorithms, cross-validation techniques, and methods to avoid overtraining using R programming.
Python for Data Science and AI
5-module course covering Python fundamentals, data structures (lists, tuples, dictionaries, sets), and programming concepts including loops, functions, and OOP. Includes hands-on experience with NumPy and Pandas for data manipulation, REST APIs using requests library, and web scraping with BeautifulSoup.