Federico Alvarez
Verified Expert in Engineering
Search Engine Optimization (SEO) Engineer and Software Developer
Córdoba, Cordoba, Argentina
Toptal member since November 20, 2024
Federico is a full-stack developer and SEO engineer with strong experience in database management and web development. He specializes in integrating OpenAI technologies, including the use of embeddings and advanced natural language processing (NLP), to build intelligent, data-driven solutions. Analytical and innovative, Federico develops custom algorithms and scalable systems that enhance performance, search relevance, and user interaction.
Portfolio
Experience
- Python - 7 years
- Django - 7 years
- Heroku - 5 years
- Large Language Models (LLMs) - 4 years
- Django REST Framework - 4 years
- Retrieval-augmented Generation (RAG) - 4 years
- Claude - 2 years
- OpenAI - 2 years
Preferred Environment
Amazon S3 (AWS S3), Python, Django, React, Django REST Framework, Large Language Models (LLMs), Claude, ChatGPT, Retrieval-augmented Generation (RAG), FastAPI
The most amazing...
...thing I've done is integrate OpenAI embeddings to boost NLP, enabling more accurate and relevant recommendations for web content creation and optimization.
Work Experience
Lead AI Systems & Context Pipeline Engineer
Sandtex International Corp.
- Architected an enterprise context-orchestration middleware using Python, AWS Bedrock, and Model Context Protocol (MCP) parameters to parse and structure highly complex, multi-source documents.
- Implemented RAG-based workflows and automated database cross-checks to validate and normalize extracted data, ensuring consistency, accuracy, and error-free ERP ingestion.
- Parsed complex email threads, extracting structured data from PDFs, Excel files, plain text, images, and HTML tables—including headers, bodies, and attachments—ensuring full data capture for procurement and ERP processes.
- Parsed and validated contact data from email chains, performing double database checks to prevent loss of clients or quotation requests, maintaining full accuracy and data integrity.
- Automated the requisition processing workflow, drastically reducing manual intervention, improving data accuracy, and enabling continuous quality control through automated testing.
- Engineered automated validation and double-check pipelines, neutralizing hallucination risks and optimizing tokenization bounds to elevate Claude output reliability to 96%.
Technical Anchor — LLMOps & MCP Integrations (via Toptal)
Toptal
- Developed a Python-based keyword analysis tool to enhance resume optimization for job applications.
- Worked with Google Trends, Ahrefs, and DataForSEO APIs for trend and keyword analysis.
- Designed a multi-factor vector scoring system and LangGraph agent workflows, enabling autonomous tool-use and search capabilities while maintaining low-latency data responses.
Senior Python Platform & Data Infrastructure Engineer
Fulltarget
- Designed and deployed high-performance backends and complex REST APIs to cross-reference and process massive, heterogeneous data streams in real time.
- 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.
Experience
SEO Optimization Platform
My role involved:
• Building a robust, scalable back end to efficiently handle large-scale data processing and analysis.
• Developing user-friendly front-end features with HTML, CSS, and JavaScript to ensure an engaging user experience.
• Integrating APIs such as Google Keyword Planner and Ahrefs for automated keyword data collection, reducing manual efforts by 40%.
• Implementing OpenAI embeddings for enhanced NLP, improving content recommendation accuracy by 25%.
• Creating custom algorithms for keyword analysis, helping identify high-value opportunities with low competition.
This platform empowered users to make data-driven decisions and optimize their digital presence effectively.
Keyword Analyzer Algorithm
• Developed a Python-based keyword analysis tool to enhance resume optimization for job applications.
• Worked with Google Trends, Ahrefs, and DataForSEO APIs for trend and keyword analysis.
• Designed a scoring system to assess keyword relevance based on multiple factors.
Supply Chain Platform
Certifications
Certification in Artificial Intelligence and Python
Technological University of Cordoba
Skills
Libraries/APIs
REST APIs, Claude API, React, Django ORM
Tools
Claude, Claude Code, GitHub, Amazon Elastic Container Service (ECS), ChatGPT, Pytest
Languages
Python, Python 3, CSS, JavaScript, HTML, TypeScript, SQL
Frameworks
Django, Django REST Framework, Bedrock, LangGraph
Paradigms
Automation, Model Context Protocol (MCP)
Platforms
Heroku, Amazon Web Services (AWS), AWS Lambda
Storage
Amazon S3 (AWS S3), SQLite, PostgreSQL, Data Pipelines
Other
Scraping, APIs, Large Language Models (LLMs), Retrieval-augmented Generation (RAG), Artificial Intelligence (AI), Data Scraping, Machine Learning, Back-end, Prompt Engineering, AI Tools, Workflow Automation, API Integration, Real-time Data, OpenAI, OpenAI GPT-4 API, Web Scraping, Full-stack, PDF, AI Integration, RAG Systems, Agentic AI, Web Development, QR Codes, Full-stack Development, Data Engineering, AI Automation, Front-end Development, AI Agents, Agentic Workflow Design, LangChain, Software Engineering, Document Processing, Code Auditing, Open-source LLMs, Automations, Workflows, SMS, Microsoft Graph API, Agentic AI Systems, AI Engineering, AI Agent Orchestration, Natural Language Processing (NLP), OpenAI GPT-3 API, Amazon Bedrock, CI/CD Pipelines, FastAPI, System Administration, Agentic Coding, AI-assisted Development
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