Carlos Jure, Developer in Córdoba, Córdoba Province, Argentina
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Carlos Jure

Bio

Carlos is a senior full-stack developer, SEO engineer, and data analyst with a lifelong passion for coding, which began at age seven. He integrates technical skills with healthcare expertise to drive innovation in health technology while also practicing as a maxillofacial surgeon on the side. Carlos is well-versed in Python, C++, JavaScript, AI, machine learning, and SEO analysis, combining these skills to refine online visibility and optimization strategies.

Portfolio

Toptal Client
Python, APIs, OpenAI API, Natural Language Processing (NLP), AI Algorithms...
FullTarget
Python, Django, Docker, TensorFlow, Ahrefs, JavaScript, SQL, Heroku...
FullTarget
Python, Ahrefs, Automation, Data Analysis, Natural Language Processing (NLP)...

Experience

  • Python - 10 years
  • Ahrefs - 6 years
  • JavaScript - 6 years
  • SEO Tools - 6 years
  • Natural Language Processing (NLP) - 5 years
  • Data Analysis - 5 years
  • Django - 5 years
  • Artificial Intelligence (AI) - 5 years

Preferred Environment

Python, JavaScript, Arduino, Artificial Intelligence (AI), SEO Tools, Ahrefs, Docker, Data Analysis, Pandas, Polars

The most amazing...

...solution I've developed is an automated SEO platform that analyzes millions of metrics using machine learning algorithms. Several companies currently use it.

Work Experience

Python Developer

2025 - 2025
Toptal Client
  • Developed a microservice that analyzes candidates' resumes and optimizes key keywords relevant to their professional niche using AI and machine learning algorithms.
  • Implemented parallel processing to analyze thousands of potential keywords within seconds and fetch real-time SEO metrics, including search volume, trending data, and query frequency.
  • Collaborated with a team of Toptal professionals in developing, integrating, and optimizing the service.
  • Leveraged machine learning and advanced statistical analysis to detect missing, redundant, underperforming, or outdated keywords, with suggestion accuracy comparable to that of a domain expert.
  • Achieved high performance and maximum scalability for the service, capable of handling large volumes of requests, services, and metrics with an almost zero failure rate.
Technologies: Python, APIs, OpenAI API, Natural Language Processing (NLP), AI Algorithms, Debugging, Web Scraping, Data Analysis, Market Insights, Machine Learning, Statistics, RESTFul APIs, Database Design, Back-end, FastAPI, Microservices, API Integration, OpenAI GPT-4 API, LangChain, OpenAI Assistants API, ChatGPT Prompts, ChatGPT API, Performance, Pandas, Polars, AI Agents, Data Scraping, ETL Pipelines, Agentic AI, Agentic RAG Systems, Claude Code, RAG Systems, LangGraph, Amazon S3 (AWS S3), Amazon Elastic Container Service (ECS), AWS Lambda

Director of Technology

2021 - 2024
FullTarget
  • Spearheaded the development of a scalable platform using Python, Django, React, and JavaScript for automated SEO optimization.
  • Managed projects on crawling, indexing, and monitoring backlink profiles to avoid toxic link penalties and enhance domain authority, training, and deploying ad-hoc neural networks to detect links automatically.
  • Led a team of engineers at FullTarget and made decisions on applicable technologies, languages, and algorithms.
Technologies: Python, Django, Docker, TensorFlow, Ahrefs, JavaScript, SQL, Heroku, Artificial Intelligence (AI), Natural Language Processing (NLP), Data Analysis, Large Language Models (LLMs), Retrieval-augmented Generation (RAG), Gemini, Prompt Engineering, OpenAI GPT-3 API, OpenAI, Machine Learning, ChatGPT, Scraping, Web Scraping, Databases, Vector Databases, Amazon Web Services (AWS), Automation, Back-end, Microservices, API Integration, ChatGPT Prompts, ChatGPT API, App Development, Performance, APIs, Pandas, Polars, Amazon Bedrock, Django REST Framework, Data Scraping, ETL Pipelines, Claude Code, RAG Systems, Amazon Elastic Container Service (ECS), AWS Lambda

Senior Full-stack Developer

2019 - 2021
FullTarget
  • Built a scalable SEO optimization platform using Python and Django, enhancing the company's ability to process and analyze vast amounts of keyword and search data efficiently, improving operational performance by 30%.
  • Integrated APIs like Google Keyword Planner and Ahrefs to automate the retrieval of search volume, competition, and keyword trend data, enabling data-driven decision-making and reducing manual effort by 40%.
  • Developed tailored algorithms and implemented OpenAI embeddings for advanced natural language processing (NLP), improving content optimization accuracy by 25% and providing personalized insights to clients in real time.
  • Witnessed the startup being customized and absorbed by a large enterprise, which now uses it for internal SEO analysis.
Technologies: Python, Ahrefs, Automation, Data Analysis, Natural Language Processing (NLP), SEO Tools, Heroku, PostgreSQL, MongoDB, OpenAI, Claude, Database Design, Back-end, FastAPI, Microservices, API Integration, OpenAI GPT-4 API, ChatGPT Prompts, ChatGPT API, App Development, Ajax, APIs, Data Scraping, ETL Pipelines, X (formerly Twitter) API, Claude Code, AWS Lambda

Experience

Programmatic SEO App

A Python/Django/ML-powered app for advanced SEO optimization. This app streamlines the analysis of thousands of web pages, providing actionable insights to boost search engine rankings—all with just a few clicks and minimal cost to users. Powered by cutting-edge machine learning algorithms, the platform delivers unparalleled speed and accuracy, processing millions of metrics in a fraction of the time traditional tools require. The solution focuses on enhancing time efficiency and analytical depth, empowering users to optimize their websites effortlessly and effectively.

Skills

Libraries/APIs

OpenAI API, TensorFlow, React, jQuery, Scikit-learn, Keras, NumPy, Pandas, OpenAI Assistants API, X (formerly Twitter) API

Tools

Ahrefs, ChatGPT, Claude Code, Amazon Elastic Container Service (ECS), Claude

Languages

Python, JavaScript, SQL, C++, Pascal, HTML5, CSS

Frameworks

Django, LangGraph, Django REST Framework

Platforms

Arduino, Docker, Raspberry Pi, Heroku, Amazon Web Services (AWS), AWS Lambda

Storage

Databases, PostgreSQL, Amazon S3 (AWS S3), MongoDB

Paradigms

Automation, Database Design, Microservices, App Development

Other

Artificial Intelligence (AI), SEO Tools, Health, Data Analysis, Large Language Models (LLMs), Prompt Engineering, OpenAI GPT-3 API, OpenAI, Machine Learning, Scraping, Web Scraping, Back-end, OpenAI GPT-4 API, ChatGPT Prompts, ChatGPT API, Data Scraping, Agentic AI, Agentic RAG Systems, RAG Systems, Natural Language Processing (NLP), Retrieval-augmented Generation (RAG), Gemini, Vector Databases, APIs, RESTFul APIs, AI Automation, FastAPI, API Integration, Performance, Ajax, AI Agents, ETL Pipelines, AI Algorithms, Debugging, Market Insights, Statistics, LangChain, Polars, Amazon Bedrock

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