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luisteran5296/README.md

⚑ Luis TerÑn

AI Engineer & Applied AI Specialist

Architecting Autonomous AI Agents Β· Grounded LLM Systems Β· Cloud Data Pipelines

Portfolio LinkedIn Email


πŸ‘¨β€πŸ’» About Me

AI Engineer and Applied AI Specialist with 5+ years of experience bridging cutting-edge foundational models (Google Gemini 2.5, Claude, OpenAI) with mission-critical enterprise systems.

  • πŸ€– Autonomous Multi-Agent Architectures: Specialized in building conversational and multimodal agents for Microsoft Teams featuring dynamic Function Calling, Adaptive Cards, and Human-in-the-Loop workflows.
  • ☁️ Cloud & Scalability: Designing and deploying containerized microservices and data pipelines on Google Cloud Run, Vertex AI, BigQuery, and AWS.
  • πŸ”¬ Quantitative Foundations: Geophysical Engineering graduate from UNAM, with certified data science credentials from IBM and Johns Hopkins University.

πŸ€– Featured Enterprise AI Agents for Microsoft Teams

Autonomous agent for Microsoft Teams orchestrating Google Gemini 2.5 Flash with native Function Calling and Confluence Cloud REST v2 API via dynamic CQL, delivering verified answers with grounded citations in Adaptive Cards.

  • Dynamic CQL semantic retrieval
  • Storage XML to Markdown parser
  • Threaded Adaptive Cards in Teams

View Repo β†’

Conversational BI assistant connecting natural language queries to Google Analytics 4 (GA4) Data API and automatically compiling executive Excel workbooks with custom formatting in <60 seconds.

  • Direct GA4 Data API v1beta queries
  • Automated executive Excel ledgers
  • Native date & metric filtering forms

View Repo β†’

Multi-agent expense auditor running Gemini 2.5 Vision to extract itemized receipts (Zero-OCR), evaluate policy compliance rules, and orchestrate Human-in-the-Loop manager approval workflows.

  • Zero-OCR structured receipt extraction
  • Automated risk scoring & restricted items
  • Interactive HITL approval cards

View Repo β†’


πŸš€ Shipped AI Platforms & Products

  • πŸ‹οΈ Gymgineer: Computer vision gym equipment detection & adaptive routine planning with Gemini 2.5 and Genkit on GCP.
  • πŸŽ™οΈ Voxify: Multilingual AI voice cloning and speech generation across 140+ languages and emotion modulation.
  • 🎬 Genovideo: Automated video production pipeline turning stories and narrative scripts into dynamic social video reels.
  • ✍️ Inkredo: Autonomous ghostwriting studio for creators and newsletters with adaptive brand voice memory.
  • πŸ” Opinizoom: No-code NLP topic mining, sentiment distribution, and customer feedback clustering engine.

πŸ› οΈ Technical Arsenal

AI & Agentic Systems

Python Google Gemini FastAPI Microsoft Teams SDK Adaptive Cards Genkit

Cloud & Data Engineering

Google Cloud Platform Cloud Run BigQuery AWS Docker SQL

Modern Frontend & Analytics

TypeScript React Tailwind CSS Tableau Power BI


πŸ“Š GitHub Activity & Metrics

Luis TerΓ‘n GitHub Stats Top Languages

GitHub Streak


πŸ’Ό Open to career opportunities as an AI Engineer, Applied AI Specialist, or Senior Data Scientist.

Visit my interactive 3D web portfolio at luisteranmirandaprof.web.app

Pinned Loading

  1. teams-analytics-excel-agent teams-analytics-excel-agent Public

    Python

  2. teams-expense-auditor-agent teams-expense-auditor-agent Public

    Python

  3. Similarity-Based-Recommendation-System Similarity-Based-Recommendation-System Public

    The aim of this project is to create a similarity based recommendation system using collaborative filtering completely capable of make concrete recommendations of movies according to previous rated…

    Jupyter Notebook

  4. Predictive-text-modeling Predictive-text-modeling Public

    Predictive texting is a data processed tool that makes it quicker and easier to write text by suggesting words as you type. The tool will read the text inside the text input area and predict the th…

    HTML

  5. Cell-population-growth-simulation Cell-population-growth-simulation Public

    This is a cell popullation simulator web-app. The main objective is to study population growth given a reproduction and mortality probability.

    R

  6. Credit-Card-Fraud-Detection Credit-Card-Fraud-Detection Public

    The aim of this project is to create a model that is able to identify whether a transaction is fraudulent or not. Special emphasis is made to detect all the fraudulent transactions.

    Jupyter Notebook