Github
Showcases a diverse range of tutorials, personal projects, and technical resources aimed at demonstrating my skills.
Jan 1, 2026
Analyzing Decentralized Agent Strategies: KAN Interpretation of Multi-Agent Pursuit
IEEE CISOSE (ISADS) — International Symposium on Autonomous Decentralized Systems. Applying deep reinforcement learning and Kolmogorov-Arnold Networks to multi-agent vehicle pursuit in urban simulation environments.
Jul 1, 2025
Intelligent Call Agent
An AI-powered outbound calling agent built with ElevenLabs that contacts prospective customers with personalized offers — retrieving client data in real time, presenting pre-approved credit lines, and activating services live on the call through Azure Functions.
Feb 20, 2025
Enterprise Multi-Agent Slack Assistant
A multi-agent AI platform embedded in Slack that automates high-demand internal processes — document generation, credit-line increases, and assignment workflows — using Google ADK for agent orchestration, GPT-4.1 models for reasoning, and Azure Container Apps for serverless execution.
Feb 1, 2025
AI-Driven Call Analytics & Summarization Pipeline
An end-to-end event-driven pipeline built on Azure Service Bus that ingests call center recordings, transcribes audio to text, and leverages generative AI to produce structured summaries, payment-intent scores, and agent-performance metrics — deployed to production with 80–85% content accuracy.
Dec 1, 2024
Labor Concilation Chatbot
Project Overview This project showcases the development of a chatbot designed to assist users with labor-related queries, including conciliation processes, workers’ rights, employer responsibilities, and conciliator training. It was developed in two phases:
Nov 1, 2024
Intelligent OCR & Computer Vision Pipeline
A serverless Azure Function that uses LLM vision models to extract, categorize, and normalize data from customer receipt images — replacing manual extraction with 85–90% accuracy and reducing analyst workload by 70%.
May 15, 2024
Speech Generator with Transformers
Project Overview This project, developed as part of the “Principles of Deep Learning” course in the Master’s in Data Science program, focused on building a speech generator using deep learning techniques, specifically transformers. The model was fine-tuned with presidential speeches and related materials to produce coherent text outputs.
Dec 1, 2021
Sentiment Analysis on Twitter About COVID-19 Vaccination in Mexico
Reasearch paper publication.
Sep 1, 2021
Automated News Analysis with GCP
Project Overview This project, developed as a part of the “Cloud Computing” course in the Master’s in Data Science program, demonstrates an automated news analysis system using various Google Cloud Platform (GCP) services. The objective was to create a scalable, serverless solution for extracting, processing, and analyzing news articles from popular media outlets.
Sep 1, 2021