Isabella Bicalho
Machine Learning Engineer
Salary / Daily rate
Lyon, France
Freelance
Can come onsite
Skills
Languages
About me
Intro
🎯 Machine Learning Engineer specializing in production-ready AI solutions, with expertise in Computer Vision, NLP, and Large Language Models (LLMs). 💡 Technical Focus: - Deep Learning: PyTorch, TensorFlow, Computer Vision, NLP - LLM Expertise: LangChain, Hugging Face Transformers, RAG Systems - MLOps: MLflow, W&B, Docker, CI/CD
Work experience
Machine Learning Engineer
Self-employed
Oct 2024 - Present
2 years 1 month
Remote, OR 97458, USA
🧠 Architecting knowledge graph-based RAG system using LangChain, Transformers and SPARQL, focusing on efficient knowledge extraction and semantic relationship mapping for enhanced document retrieval
Ironhack
Sep 2024 - Present
2 years 2 months
European Economic Area
AI Engineering Teaching Assistant
Oct 2024 - Present
2 years 1 month
European Economic Area
👨🏫 Supported 15-student cohort as teaching assistant, providing daily lab instruction and technical mentorship, resulting in 100% completion rate across 5 ML projects and final capstone projects through personalized technical mentorship
Lead AI Engineering Instructor
Sep 2024 - Present
2 years 2 months
European Economic Area
👨🏫 Leading discussions 6-month AI/ML bootcamp with thus far 100% student retention and achieving full completion of 2 milestone projects per student - Delivering technical instruction across modern ML stack (Python, TensorFlow, Transformers, LangChain)
Data Scientist
Freelance
Jul 2024 - Dec 2024
6 months
France · Remote
📊Processed and standardized a diverse collection of 800+ GeoPackage files across multiple domains (transport, energy, biodiversity), developing custom Python scripts to handle varying data structures and requirements - Implemented NLP-based entity matching system to reconcile incomplete records across multiple data formats (GPKG, GeoJSON, SHP, CSV)
Machine Learning Researcher
Aix-Marseille University
Nov 2022 - Jul 2024
1 year 9 months
Marseille · On-site
🧠 Led development of production ML pipeline achieving 65% reduction in prediction time for a 127 GB dataset - Architected and developed Python library for standardized prediction pipelines
Machine Learning Researcher
Laboratoire d'Informatique et Systèmes, Aix-Marseille Université
Feb 2022 - Aug 2022
7 months
Marseille · On-site
🧠 Developed ML algorithms for 3D image registration with custom performance metrics - Reduced memory requirements by 35% through optimized data converter implementation
Data Scientist
Inria
May 2021 - Jul 2021
3 months
Marseille, France
⚕️Developed a machine learning pipeline for immunotherapy response prediction, achieving SOTA performance (AUC 0.74 ± 0.03) on a clinical dataset of 309 patients - Architected a comprehensive ML experimentation for 7 different architectures with automated hyperparameter optimization
Data Scientist
Embrapa
Sep 2019 - Jan 2020
5 months
Campo Grande, State of Mato Grosso do Sul, Brazil
🌾Advanced a 2-year-old challenge in bovine disease resistance through advanced data mining of in-house databases, combining statistical analysis and modelling approaches - Developed a custom data pipeline that uncovered previously unidentified patterns in cattle immunological responses using SQL, Python, and R
Universidade Federal de Mato Grosso do Sul
Feb 2016 - Mar 2019
3 years 2 months
Campo Grande, State of Mato Grosso do Sul, Brazil
Introduction to Data Science Teaching Assistant
Feb 2018 - Mar 2019
1 year 2 months
Campo Grande, State of Mato Grosso do Sul, Brazil
👨🏫 Led interactive data science revision sessions and labs, driving student engagement through hands-on learning approaches - Provided real-time technical support and mentorship to 30+ students, maintaining consistent availability for problem-solving and concept clarification - Collaborated with faculty to optimize teaching methodologies, resulting in improved student engagement and comprehension of complex data science concepts - Facilitated both classroom instruction and one-on-one sessions to ensure thorough understanding of statistical analysis and machine learning fundamentals
Research Scientist | Applied Scientist
Feb 2016 - Mar 2018
2 years 2 months
Campo Grande, State of Mato Grosso do Sul, Brazil
🧬 Developed high-performance bash scripts to optimize GPU utilization for molecular dynamics simulations - Engineered computational pipelines for analyzing protein structural changes using PyMOL and AMBER 🏆 Earned Outstanding Undergraduate Research Award for innovative protein modeling and simulation work
Education
Oxford Machine Learning Summer School (OxML)
Professional Development Program, Machine Learning and Artificial Intelligence
2024 - 2024
2 months
Aix-Marseille University
Master's degree , Computational and Mathematical biology
2020 - 2022
2 years 2 months
Universidade Federal de Mato Grosso do Sul
Bacharelado, Biologia/Ciências Biológicas - Geral
2016 - 2020
4 years
Licenses & certifications
Oxford MLx Fundamentals
Issued: May 2024
MLOps Essentials: Model Development and Integration
Issued: Mar 2024
DevOps Foundations
Issued: Mar 2024
Filtering and Sorting Data in SQL Course
Issued: Sep 2021
Introduction to SQL and Databases Course
Issued: Aug 2021