Senior-level AI Engineer specializing in the architecture and production deployment of agentic,intelligent applications. I bring deep, hands-on expertise in agentic AI products and engineering scalable infrastructure for real-time AI services.
Proven track record of leading technical decisions and shipping novel AI solutions by bridging the gap between applied research and systems engineering.
Adept at leveraging Python, LangChain, RAG architectures (Weaviate), and graph databases (Neo4j) within cloud-native (AWS/Azure) microservice environments to solve complex business problems.
Contact Jhonier regarding:
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Full-time jobs
Starting at
USD5K/month
Timeline
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Résumé
Jobs
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AI ENGINEER public Remote experience
GBM
Mar 2024 - Current(2 years 2 months)
Architected and shipped an platform for deploying and orchestrating complex AI workflows,
serving as the core infrastructure for scalable execution of autonomous agents and reducing time-to
production for new AI services.
Led the development of a generative AI agent that translates natural language requirements into
functional Python code, accelerating initial software prototyping and proof-of-concept validation for
the product team.
Owned the technical decision-making and implementation of Retrieval-Augmented Generation
(RAG) systems, selecting and managing Weaviate vector databases and Neo4j knowledge graphs to
enhance contextual accuracy and mitigate model hallucination in production.
Engineered and deployed production-grade gene
Engineering Analyst
Intecol S.A.S
Nov 2022 - Mar 2024(1 year 5 months)
- I fully lead the project, assuming the role of product manager and managing all stages from conceptualization to implementation.
- I developed the frontend using React, creating an intuitive and user-friendly interface.
- Established efficient two-way communication with the backend via websockets, ensuring a real-time experience.
1. Development of an innovative project to determine 3D volume using a TOF camera for a leading client in the industry: I used Python for precise 3D point manipulation, achieving required volume calculations. I implemented design patterns and good practices, guaranteeing the scalability and maintainability of the project. I maintained a close collaboration with other departments such as mechanical design, aut
Back-end developer
MEMBO Inventos y soluciones SAS
Jul 2022 - Oct 2022(4 months)
- Contributed to the design and development of complex systems using Python as a Backend Developer in large projects.
- I participated in the design of the architecture of an event management application, ensuring its scalability and efficiency.
- Implemented machine learning algorithms using libraries like PyTorch and OpenCV, optimizing models to achieve accurate and scalable results.
Led an OCR project that processed over 10,000 PDF documents, using Elasticsearch for efficient data storage and easy retrieval.
I contributed to the documentation of projects, creating detailed reports and technical presentations to share the results and the recommendations obtained.
I implemented good programming practices, performing code refactorings to im
U
Research student
Universidad EIA - Escuela de Ingeniería de Antioquia
Aug 2021 - Dec 2021(5 months)
Education
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SPECIALIZATION IN ARTIFICIAL INTELLIGENCE
Universidad EIA - Escuela de Ingeniería deAntioquia
Feb 2024 - Dec 2024(11 months)
Key topics included Machine Learning, Deep Learning, Big Data Intelligence, and LLM - NLP.
Developed "TTSFlow" a scalable text-to-speech conversion system using Facebook's MMS-TTS
model, integrating FastAPI, AWS Lambda, Streamlit, and Docker for deployment on AWS EC2 with
S3 storage.
Curso de Introducción a la Nube con Azure
Platzi
Mar 2023
Curso Profesional de Git y GitHub
Platzi
Mar 2023
Curso de Azure Cognitive Services
Platzi
Mar 2023
U
Engineering, Electronic engineering, robotics and mechatronics
Universidad EIA - Escuela de Ingeniería de Antioquia
Jan 2017 - Jul 2022(5 years 7 months)
Projects (professional or personal)
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ScrapyTube public Remote experience
Jan 2023 - Current(3 years 4 months)
Developed a system for multimedia content analysis and organization using web scraping techniques to extract data from a YouTube playlist. Applied Natural Language Processing (NLP) for content categorization and visualization by channels and keywords. Explored data clustering and topic modeling (BERTopic) to group and label videos based on similarities. Currently integrating LLAMA2 and leveraging Huggingface and Langchain for advanced topic modeling tasks. Additionally, utilized Docker for containerization, ensuring consistent development environments, which enhanced deployment efficiency and scalability.