I'm Jonathan Herrera, an AI/ML engineer with 5 years of experience spanning academic research and enterprise deployment. I specialize in Python-based machine learning, deep learning frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-Learn), and end-to-end LLM integration. I design Retrieval-Augmented Generation (RAG) pipelines, build scalable full-stack applications using React and Node.js, and automate workflows with cloud-native solutions. I'm currently pursuing a Master's in Technological Project Management to bridge research innovation with production-ready systems. I collaborate across teams to translate research into production-ready systems, lead agile processes, and continuously improve deployments with reliable monitoring and guardrails. My work combines rigorous ML research with practical software engineering to deliver robust, scalable solutions for enterprise clients and academic partners.

Jonathan Herrera

I'm Jonathan Herrera, an AI/ML engineer with 5 years of experience spanning academic research and enterprise deployment. I specialize in Python-based machine learning, deep learning frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-Learn), and end-to-end LLM integration. I design Retrieval-Augmented Generation (RAG) pipelines, build scalable full-stack applications using React and Node.js, and automate workflows with cloud-native solutions. I'm currently pursuing a Master's in Technological Project Management to bridge research innovation with production-ready systems. I collaborate across teams to translate research into production-ready systems, lead agile processes, and continuously improve deployments with reliable monitoring and guardrails. My work combines rigorous ML research with practical software engineering to deliver robust, scalable solutions for enterprise clients and academic partners.

Available to hire

I’m Jonathan Herrera, an AI/ML engineer with 5 years of experience spanning academic research and enterprise deployment. I specialize in Python-based machine learning, deep learning frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-Learn), and end-to-end LLM integration. I design Retrieval-Augmented Generation (RAG) pipelines, build scalable full-stack applications using React and Node.js, and automate workflows with cloud-native solutions. I’m currently pursuing a Master’s in Technological Project Management to bridge research innovation with production-ready systems.

I collaborate across teams to translate research into production-ready systems, lead agile processes, and continuously improve deployments with reliable monitoring and guardrails. My work combines rigorous ML research with practical software engineering to deliver robust, scalable solutions for enterprise clients and academic partners.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
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Work Experience

Fullstack & Machine Learning Engineer at Ocelot / Gravyty
June 1, 2022 - Present
Proposed and implemented the company’s first RAG pipeline for internal chatbot Q&A; designed and deployed a customer-facing RAG pipeline using OpenAI embeddings and GPT for response generation, guardrails, and accuracy checks; built scalable fullstack apps with React/Redux and Node.js/NestJS; automated cloud infra with AWS and Docker; served as interim Scrum Master during team transition, leading sprint planning and DevOps coordination.
Smart Solutions Architect at Softconsulting
March 1, 2022 - May 1, 2022
Developed voice-enabled chatbots and automation pipelines using Python, JavaScript, and IBM cloud technologies; designed conversational AI systems for interactive speech, improving client engagement; streamlined workflows with automation to reduce manual processing.
Machine Learning Research Assistant at Escuela Politécnica Nacional
July 1, 2019 - April 1, 2021
Conducted AI research in anomaly detection and phishing attack characterization; published in peer-reviewed journals and presented at international conferences as lead author and speaker; implemented ELK-based monitoring and Python-driven ML pipelines for cybersecurity projects.

Education

Master’s in Design and Management of Technological Projects at UNIR
January 11, 2030 - February 1, 2026
Bachelor’s in Computer Science Engineering at Escuela Politécnica Nacional
January 11, 2030 - January 1, 2022
International Science Foundation Programme at King’s College London
January 11, 2030 - January 1, 2016
C1 English Proficiency at IELTS
January 11, 2030 - January 1, 2015

Qualifications

IELTS English Proficiency - C1
January 11, 2030 - January 1, 2015

Industry Experience

Software & Internet, Education, Professional Services, Other