// About Me

From Transformers
To Quantum Circuits

My focus is on turning complex ideas into scalable solutions. I specialize in taking cutting-edge ML research — specifically in NLP and Large Language Models — and hardening it for high-stakes environments.

Beyond my role leading AI Engineering at Datasite, I am a published researcher focused on hybrid quantum-classical approaches and Quantum Error Correction. I bring a rigorous, academic perspective to the fast-moving world of GenAI.

I am passionate about Responsible AI and technical education, frequently sharing insights at global conferences and through specialized consulting. If you are looking to navigate the transition from LLM experimentation to robust production — or explore the quantum horizon — let's connect.

Karen Tovar Parra
Credentials

Engineer. Researcher.
Global Speaker.

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Current Role
AI Engineering Lead at Datasite — scaling LLMs and agentic workflows for enterprise environments.
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Research
Published researcher in Hybrid Quantum-Classical Systems and Quantum Error Correction. Lecturer at UCR.
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Global Reach
30+ talks across 15+ countries. Vetted at IEEE, NASA Space Apps, UNESCO CILAC, AfroTech ATIC, and more.
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AI Security
Specialized in prompt injection mitigation, LLM hardening, and building secure agentic systems at scale.
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Quantum ML
Bridging classical deep learning and quantum algorithms — from QML fundamentals to hybrid circuit design.
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Advocacy
Champion for diversity in STEM, women in AI, and responsible technology development across Latin America.
On Stage

A few moments
from the road

QML talk with butterfly stage
AI Bootcamp at Datasite
When the Parrot Lies — Costa Rica
Pura Vida AI Forum UCR
IEEE SSIT — Navy Museum
Datasite Think AI
Core Expertise

Technical Depth Across Three Domains

AI & Machine Learning
  • Large Language Models (LLMs)
  • Natural Language Processing
  • Agentic AI Workflows
  • Prompt Engineering & Injection Mitigation
  • RAG & Knowledge Graphs
  • Responsible AI & Ethics
  • Production ML Systems
Quantum Computing
  • Quantum Machine Learning (QML)
  • Hybrid Quantum-Classical Systems
  • Quantum Error Correction
  • Quantum Circuit Design
  • Qiskit & PennyLane
Engineering & Leadership
  • Python, LangGraph, LangChain
  • Cloud-Native AI Architecture
  • Technical Leadership
  • Science Diplomacy
  • Diversity & Inclusion in STEM
  • University-Level Instruction