Andrés Fernández

aka Jorge, Jorge Andrés, Fernández Jiménez, or just fernandrez

Machine Learning Engineer & AI Architect

A passionate technologist with 15+ years of experience building enterprise AI solutions. Expert in Agentic AI, autonomous agents, RAG systems, and LLM applications. I transform complex data challenges into production-ready AI systems.

Deep expertise in Claude Code, Cursor, and modern AI development workflows. Specialized in NLP, Knowledge Graphs, Document Intelligence, and multi-agent orchestration.

Currently focused on Agentic AI architectures, GraphRAG implementations, and enterprise LLM deployments. I thrive in environments that push the boundaries of what's possible with AI—turning cutting-edge research into measurable business impact.

Technical Skills

Initiatives

iSeeCI

Corporate Intelligence Research

Research initiative exploring cutting-edge AI applications for enterprise intelligence. Focus on Agentic AI, RAG systems, and knowledge graph applications.

Tailoredia

AI Products & Consulting

Consulting practice delivering enterprise AI solutions. Products include DocsTAI (document intelligence), MediaTAI (computer vision), and AgenTAI (chatbot platform).

Projects

iSeeCI Open Source Initiative

DeepScope

Dataset Visualization & Annotation

Open source project for visualizing and annotating datasets. Explore embeddings, find outliers, understand clusters, and improve your data quality through interactive visualization.

Tailoredia Products

AgenTAI

Ontology-Driven Chatbot Platform

Semantics-aware conversational AI with WebSocket and Telegram support. FastAPI + Pydantic architecture powering production chatbots like the one on this page.

DocsTAI

Enterprise Document Intelligence Platform

Extract, classify, and transform unstructured documents into structured knowledge. OCR, NER, and semantic understanding at scale for enterprise document processing workflows.

MediaTAI

Media Processing & Analysis Pipeline

AI-powered image and video analysis with object detection, segmentation, scene understanding, and geospatial visualization on interactive maps.

Experience

Teramind

AI Architect

Aug 2025 - Present

Leading the development of Timmy, Teramind's Workforce Intelligence Copilot, transforming how organizations access and understand their security and productivity data. Enabling CISOs, HR leaders, and executives to make data-driven decisions through natural language interactions, eliminating technical barriers between raw data and actionable insights. The platform democratizes workforce analytics by making complex security metrics and productivity indicators accessible to non-technical stakeholders.

John Snow Labs

Machine Learning Engineer

Jun 2019 - Present · 5 yrs 10 mos

Specialize in Natural Language Processing (NLP) to process documents and extract valuable information in the form of relation graphs for different document ontologies. Implement SOTA NLP models in Scala / Spark / Python. Tune, ensemble and customize NLP models for client engagements and lead the Data Science Forum for team knowledge sharing.

Mondra

Data Scientist

Oct 2024 - Feb 2025 · 5 mos

London, UK

Optimized time and performance in a machine learning model for prediction of carbon emissions based on food recipes. Reduced inference time by 40% while maintaining prediction accuracy through algorithm refinement and feature engineering.

Combine AI

ML Engineer / Software Architect

Jan 2023 - Sep 2024 · 1 yr 9 mos

London, UK

Developed a full end-to-end RAG system for personalized meeting summarization for the Eric.ai project. Implemented using open source LLMs (Mistral and Llama) with async/await pattern and Celery task framework on Redis. Managed the complete software lifecycle including repository management and Kubernetes deployments.

EY

Assistant Director in Client Technology Platform

Aug 2018 - Nov 2019 · 1 yr 4 mos

Greater Buenos Aires, Argentina

Led a team of two to design, implement and support cloud platform architecture monitoring on Azure. Designed and implemented time series analytics for adaptive thresholds in alert rules and ML pipeline to process terabytes of event logs using Databricks.

AlixPartners

Senior Vicepresident

Jun 2016 - Jul 2018 · 2 yrs 2 mos

Greater Buenos Aires, Argentina

Led workforce restructuring and monitoring initiatives using Python, SQL Server, .NET, NodeJS. Designed data integration pipelines and ETLs, created algorithms for customer normalization, and built ML pipelines for NLP in procurement.

CRISIL / Wells Fargo

Data Science Lead for Wells Fargo CMoR

Dec 2015 - Jul 2016 · 7 mos

Designed and implemented Big Data Analytics and Visualization Pipeline using Scala, SparkML, Hadoop, NodeJS, and D3.js. Built big data web services with Scala and AKKA, and visualization services with NodeJS.

iSeeCI

Director of Research

Sep 2014 - May 2016 · 1 yr 9 mos

Led corporate intelligence research initiatives. Data Driven Decision Making (DDDM) using Time Series models and Machine Learning. Developed AI solutions for enterprise analytics.

Mozido

Data Engineer for Customers JCCUL and Dairy Queen

Sep 2013 - Dec 2015 · 2 yrs 3 mos

Conceptualized, Designed, Built and Implemented the Payment Reporting Architecture using XML, PostgreSQL, Java and Pentaho. Designed and developed ETLs for creating a Reporting Datamart of Customer Payments grouped by different branches based on Government Requirements. Created Data Access and Business Logic Layers in an XML – Java – PostgreSQL Architecture for Report and Analytics distribution over the Project Stakeholders, using the previous Datamart.

Hipercept Solutions Colombia

Data Engineer for Customers Jamestown and Brookfield

Jan 2013 - Jun 2013 · 6 mos

Medellín, Colombia

Modeled, Simulated and Analyzed Real Estate Assets and Funds operations using specialized software to optimize the involved processes. Developed a Stochastic Model to represent the "random" outcomes of contract renewals based on Tenant Risk metrics (PHP-MySQL). Created RESTful Web Service Architecture to manage and analyze Lease contracts on registered properties. Built Commercial Web App using the previous middleware to present information and charts on Leased Properties.

Mapir Research Group

Social Robotics Researcher

Jan 2012 - Sep 2012 · 9 mos

Málaga, Spain

Conducted research activities focused on development of Social Enabled robots, specifically in audio interaction (ultimately conversation). Developed various algorithms: one to filter audio streams and direct servos to sound sources, another to ponder sound source angles based on intensity, and a third to direct mechanisms with two rotational degrees of freedom using "Respect" and "Speed" parameters. Created an algorithm to estimate these parameters based on a personality array containing values for Psychosis, Extroversion and Neurosis (PEN model by Eysenck). Implemented all projects as modules for Open Source Robotics Libraries MRPT and OpenMora in C++.

Suramericana Insurance (SURA)

Actuarial Analyst

Dec 2008 - Sep 2011 · 2 yrs 10 mos

Medellín, Colombia

Performed Data Mining and Intelligent Systems Modeling for Insurance Business including Reserve Models, Pricing Models, and Loss Models. Developed an Adaptive Inference System for casualty insurance pricing, based on the underlying stochastic models for each type of insurance (Automobile, Fire, Life and Health) using ASP.NET and SQL Server. Created a RESTful Web Service Architecture to manage Automobile Insurance Pricing through the parametrization of a Generalized Linear Model, involving numerous meetings with business executives and detailed requirements gathering to successfully parametrize the GLM.

Education

Universidad de Málaga

MSc. Software Engineering and Artificial Intelligence

Oct 2011 - Oct 2012

Research: Detection and orientation of a mobile robot towards a sound source using Neural Networks.

Universidad Nacional de Colombia

Actuarial Science for Insurance Companies

Jan 2009 - Mar 2010

Project: Loss model for hedge funds, using diverse random variable generation algorithms.

Escuela de Ingeniería de Antioquia

Mechatronic Engineering

Jul 2004 - Dec 2009

Thesis: Actuarial Management Platform using Supervised and Unsupervised Neural Networks — Developed an intelligent system for insurance pricing using neural networks for pattern recognition and risk assessment.

Certifications

Deep Learning Specialization

Coursera

Issued Aug 2018

Credential ID E7H2CLUTZ7YW

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Sequence Models

Coursera

Issued Aug 2018

Credential ID X5QN5MW5L936

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Structuring Machine Learning Projects

Coursera

Issued Jul 2018

Credential ID MTMZDS5YSUDR

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Convolutional Neural Networks

Coursera

Issued Jul 2018

Credential ID YNJXAGNWEDKT

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Improving Deep Neural Networks

Coursera

Issued Jul 2018

Credential ID 3BRZDMRVE6CX

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Natural Language Processing

Coursera

Issued May 2018

Credential ID 4FC3XHW6GKWJ

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Neural Networks and Deep Learning

Coursera

Issued May 2018

Credential ID L85DEP9JLDWX

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Contact

Personal Email

iSeeCI Email

Tailoredia Email

Ask Fernandrez