Paolo Rechia
Paraná, Brazil
Summary
🤩
Rockstar🎓
Top SchoolPaolo Rechia is an experienced software and data engineer with 11 years building cloud-native systems across aviation, SaaS, retail, IoT, banking and manufacturing. Proficient in Python, JavaScript and Rust, he designs end-to-end data and ML pipelines using tools like PySpark, Databricks, Dagster and Mlflow, and operationalizes services with Kubernetes, Terraform and AWS serverless primitives. He has progressed from hands-on engineering roles to tech lead positions at British Airways while also consulting for international teams, demonstrating an ability to deliver in fast-moving startup and enterprise contexts. An active open-source contributor, he improved observability for LLM applications by instrumenting vector DBs and embedding traces in the traceloop/openllmetry project, highlighting a rare blend of ML, backend and observability expertise. Trained in computer science and law-related studies, he brings both technical rigor and a broad analytical perspective to complex, regulated domains.
10 years of coding experience
8 years of employment as a software developer
Specialization Philosophy and Theory of Law, Specialization Philosophy and Theory of Law at PUC MinasBachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Universidade Federal do ParanáBachelor's degree Law, Bachelor's degree Law at Universidade Positivo
English, Portuguese, Spanish
Stackoverflow
91reputation
9kreached
14answers
0questions
Github Skills (18)
observability10
python10
chromadb10
vector-database10
instrumentation10
llm10
opentelemetry10
weaviate9
generative-ai9
mlops9
vector6
aws-apigateway6
aws-serverless6
aws-lambda6
amazon-web-services6
Programming languages (9)
Github contributions (5)
traceloop/openllmetry
Jan 2024 - Mar 2024
Open-source observability for your LLM application, based on OpenTelemetry
Role in this project:
ML Engineer & Back-end Developer
ML Engineer & Back-end DeveloperContributions:25 reviews, 17 PRs, 10 pushes in 1 month
Contributions summary:Paolo primarily focused on enhancing the observability of LLM applications within the `traceloop/openllmetry` repository, contributing to its core functionality. Their work involved implementing semantic conventions for vector database queries, adding instrumentation for ChromaDB and Weaviate, enabling improved tracing of embedding operations. They introduced features to track and log embeddings within the application, improving debugging and providing crucial performance and behavior metrics.
artifical-intelligencedatasciencegenerative-aigood-first-issuegood-first-issues
paolorechia/cache
Nov 2016 - Sep 2022
Contributions:37 pushes, 1 branch in 5 years 10 months
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