Software Engineer building automation systems and intelligent solutions

I design and build systems that automate complex processes, integrate AI capabilities into enterprise workflows, and solve real business problems through software.

Specialized in backend engineering, data automation, AI integration, and building production systems that deliver business value.

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Selected Work

Engineering case studies showcasing problem-solving, architecture decisions, and technical implementation.

Marketplace Intelligence Platform

An automation platform designed to monitor marketplace data across multiple sources. The system collects, processes, normalizes, and monitors product information, enabling data-driven decision-making for marketplace operations.

PythonScrapyPostgreSQLRedisCeleryDocker

→Automated data collection from multiple marketplace sources
→Robust web scraping and crawling infrastructure
→Data normalization and standardization pipeline
→Scheduled job execution with error handling and retry logic
→Optimized data persistence and retrieval

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AI Document Intelligence Platform

An enterprise-oriented AI platform that automatically classifies business documents, extracts structured information, normalizes data across different formats, and validates extracted fields with confidence scoring. Supports both standardized and non-standardized documents including legal contracts, invoices, compliance documents, and more.

PythonFastAPIPydanticOpenAI APIPostgreSQLReactTypeScriptTailwind CSS

→Automatic document classification across multiple families (legal, financial, compliance)
→Semantic information extraction from both structured and unstructured documents
→Field normalization handling variations in format, language, and structure
→Multi-layer validation with confidence scoring and human review queue
→Evaluation framework measuring real extraction accuracy against labeled datasets

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Logistics Management Platform

A comprehensive software platform developed for a logistics company to manage operational processes, information flow, and business operations. The system handles core logistics workflows from order management to delivery tracking, providing a centralized platform for operational efficiency.

JavaSpring BootAngularSQL ServerHibernate

→Complete operational process management
→RESTful API architecture for system integration
→Robust data persistence and transaction management
→Business process automation
→Real-world application serving actual business operations

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How I approach engineering

Principles that guide my technical decisions and development process.

Simplicity first

Choose the simplest solution that solves the problem. Complexity is a liability, not an achievement.

Measure before optimizing

Use data to guide decisions. Profile before optimizing. Metrics reveal truth.

Design for failure

Systems fail. Build with retries, timeouts, circuit breakers, and graceful degradation.

Code for maintainability

You'll read code 10x more than you write it. Optimize for clarity and maintainability.

Choose tech for the problem

Technology is a tool, not a goal. Select based on requirements, not trends.

Iterate and improve

Ship, measure, learn, improve. Perfect is the enemy of done.

Technologies

Tools and technologies I use to build production systems. Each has been applied in real projects.

Backend

JavaSpring BootSpring FrameworkPythonFastAPI

Data

PostgreSQLMySQLRedisJPA/Hibernate

AI & Automation

LangChainOpenAI APIPineconeRAG

Infrastructure

DockerCeleryTask Queues

Data Collection

ScrapyWeb ScrapingData Pipelines

About

Software Engineer focused on building automation systems, integrating AI capabilities, and developing backend solutions that solve real business problems.

My work spans data automation platforms, AI-powered enterprise workflows, and business management systems. I've built web scrapers handling large-scale data collection, integrated LLMs and RAG into production workflows, and developed logistics platforms managing real operational processes.

I specialize in Python and Java ecosystems, working with technologies like LangChain for AI orchestration, Scrapy for data collection, and Spring Boot for enterprise APIs. My focus is on building systems that work reliably in production and deliver measurable business value.

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Let's build something

Open to new opportunities, consulting projects, or just talking about engineering.

nahuel.nievas.tech@gmail.com

nahuel-nievas-00957b236/

GitHub

nahuel-42