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Hi there! I'm Bernardo Dias, an AI & Backend Engineer focused on building scalable ML systems, robust APIs, and end-to-end data pipelines. I enjoy turning research into production-ready solutions and shipping LLM-powered tooling that solves real client problems. I thrive in cross-functional teams, love learning new AI tooling, and have shipped agents using LangGraph, LangChain, and RAG architectures, along with hands-on experience in Dockerized deployments across cloud and on-prem environments.…Hi there! I'm Bernardo Dias, an AI & Backend Engineer focused on building scalable ML systems, robust APIs, and end-to-end data pipelines. I enjoy turning research into production-ready solutions and shipping LLM-powered tooling that solves real client problems. I thrive in cross-functional teams, love learning new AI tooling, and have shipped agents using LangGraph, LangChain, and RAG architectures, along with hands-on experience in Dockerized deployments across cloud and on-prem environments.

Bernardo Dias

AI Engineer, Full Stack Developer, Back-End Developer, +2

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Hi there! I'm Bernardo Dias, an AI & Backend Engineer focused on building scalable ML systems, robust APIs, and end-to-end data pipelines. I enjoy turning research into production-ready solutions and shipping LLM-powered tooling that solves real client problems. I thrive in cross-functional teams, love learning new AI tooling, and have shipped agents using LangGraph, LangChain, and RAG architectures, along with hands-on experience in Dockerized deployments across cloud and on-prem environments.…Hi there! I'm Bernardo Dias, an AI & Backend Engineer focused on building scalable ML systems, robust APIs, and end-to-end data pipelines. I enjoy turning research into production-ready solutions and shipping LLM-powered tooling that solves real client problems. I thrive in cross-functional teams, love learning new AI tooling, and have shipped agents using LangGraph, LangChain, and RAG architectures, along with hands-on experience in Dockerized deployments across cloud and on-prem environments.

Available to hire

Hi there! I’m Bernardo Dias, an AI & Backend Engineer focused on building scalable ML systems, robust APIs, and end-to-end data pipelines. I enjoy turning research into production-ready solutions and shipping LLM-powered tooling that solves real client problems.

I thrive in cross-functional teams, love learning new AI tooling, and have shipped agents using LangGraph, LangChain, and RAG architectures, along with hands-on experience in Dockerized deployments across cloud and on-prem environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Portuguese

Fluent

Spanish; Castilian

Fluent

English

Fluent

French

Advanced

Work Experience

Consultant at Remote Concord

May 1, 2025 - Present

Built and shipped LLM agents using LangGraph, LangChain, and RAG architectures for client use cases. Designed and implemented FastAPI and Spring Boot APIs powering LLM-driven data retrieval and decision workflows. Developed custom web scrapers (Ruby) to automate data ingestion for AI pipelines. Deployed and maintained on-premise Dockerized systems via SSH, ensuring reliability across multiple client environments.

Software Developer at Connecting Software

January 1, 2024 - November 1, 2024

Shipped an LLM-powered universal API documentation scraper input for a production code-generation agent. Built a production code-generation agent (Python/C# + LLMs) capable of generating runnable C# projects from scraped API documentation. Designed and maintained CI/CD pipelines in Azure DevOps, enabling automated testing and reliable deployments.

Data Scientist at Tracer

February 1, 2023 - December 1, 2023

Built a computer vision system achieving ~80% detection accuracy for patent infringement detection at a large scale. Designed a synthetic data generation pipeline using generative AI techniques to improve models. Deployed and scaled ML workloads on AWS (S3 + training infrastructure).

Research Intern at Remote University of Nottingham

August 1, 2021 - January 1, 2022

Delivered a Python/Qt desktop application integrating cloud-trained computer vision models (GCP).