Juan Bofill
Senior Software Engineer at Stable Kernel
Aiken County, South Carolina, United States
Summary
🤩
Rockstar🎓
Top SchoolJuan Bofill is a Senior Software Engineer with seven years of experience building high-throughput, cloud-native systems and end-to-end applications. He has delivered low-latency ledger and microservice architectures using Go, PostgreSQL, DynamoDB, Redis and AWS, and has driven production reliability through ArgoCD-based rollout patterns and automated quality gates. Juan blends data science and engineering skills—his open-source contributions to an ergonomic ML library improved preprocessing, date parsing, and fixed data leakage to boost model reliability. At Leidos he saved a client $4M by replacing a failing data sync and helped parallelize data pipelines and large-image microservices, demonstrating both cost-consciousness and operational impact. Based in Aiken County, SC, he mentors new engineers and codifies best practices through clear documentation and standards. A naturally curious problem-solver, he often surfaces cross-disciplinary fixes that span devops, backend performance, and ML data hygiene.
7 years of coding experience
5 years of employment as a software developer
High School Diploma, High School Diploma at Our Lady of Good Counsel High SchoolBachelor's degree Computer Science, Bachelor's degree Computer Science at Frostburg State University
Spanish, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
data-preprocessing10
pandas10
machine-learning10
python10
scikit-learn9
scikit9
neural-network8
tensorflow7
automl7
Programming languages (5)
Github contributions (5)
Palashio/libra
Jun 2020 - Jul 2020
Ergonomic machine learning for everyone.
Role in this project:
Data Scientist
Data ScientistContributions:34 commits, 12 PRs, 24 pushes in 1 month
Contributions summary:Juan's contributions focused on improving data preprocessing and model training within the machine learning project. They added date parsing functionality and addressed data leakage issues in the preprocessing steps. Additionally, the user modified model creation files. These changes suggest an effort to improve model accuracy and reliability.
pythonmachine-learning-for-everyonedata-scienceneural-networksmachine-learning
jbofill10/C1_Transaction_Data
Jun 2020 - Aug 2020
Looking at Capital One Transaction Data from their Data Science Competition Repository
Contributions:45 commits, 41 pushes, 1 branch in 1 month
pythonsciencedata-sciencecapital-onemachine-learning
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