AI Engineer and Machine Learning Specialist. I build autonomous agents, RAG architectures, and production-ready MLOps pipelines. Bridging the gap between research and ROI.
High-impact solutions developed for international clients and corporations.
Fully autonomous agent capable of executing complex multi-vendor purchases. Automated 90% of operational workflows, reducing team size from 30 FTEs to 3 supervisors using stealth anti-bot evasion and deterministic orchestration.
Real-time AI pipeline for validating identity in Call Centers. Combines semantic reasoning (LLM) with Fuzzy algorithms to process noisy ASR transcripts with 94%+ accuracy.
Strategic insight tool for Financiera Efectiva. Allows executives to query complex databases (SQL Server, PostgreSQL) using natural language via secure RAG agents.
System combining computer vision and LLMs to process invoices and IDs. Reduced evaluation times by 50% using AWS Textract and vector search.
Web app for Interbank. A GenAI agent that automates fraud investigations by consolidating data and web queries. Reduced manual review time from hours to minutes (95% reduction).
System for Anyone AI capable of drafting high-quality technical articles and blogs, plus a RAG-based educational chatbot for course materials.
Computer vision model deployed on Edge devices (Jetson Nano) to detect damage on mining truck shovels in real-time.
Leading technical architecture for conversational agents and automation.
• Developing autonomous B2B purchasing bots using LangGraph and Playwright.
• Implementing voice verification systems with AWS Bedrock and NLP models.
• Managing stakeholders and translating business requirements into technical specs.
Spearheaded GenAI adoption defining MLOps standards.
• Created Multimodal Admission Agent reducing evaluation times by 50%.
• Developed Text-to-SQL system for real-time strategic insights.
Technical Lead for the fraud squad.
• Created TrueScan (Investigative Agent) reducing manual time by 95%.
• Implemented fraud classifiers based on audio (AWS Transcribe).
• Deployed RAG assistants for customer queries.
• Led Code Reviews and improved CI/CD pipelines.
• Developed educational chatbot increasing learning capacity by 35%.
• Created content generation systems using LLMs.
• Led digital transformation initiatives and customer sentiment analysis.
• Image classification system for new SKUs (40% time savings).
• Demand estimation models (ARIMA, LSTM) achieving 12% expenditure reduction.
• Computer Vision solutions for mining (shovel damage detection).
• IoT/Edge integration with Raspberry Pi/Jetson Nano and real-time dashboards.