About Me
Hi, I am Leandro Salemi 
,
I hold a PhD in physics and currently work as a Senior Data Scientist and ML Engineer at
Helicon Technologies. I love solving complex problems through
technology. I am also an AWS Certified Machine Learning Engineer Associate.
I enrolled in university at 16, showcasing a strong aptitude for learning and
problem-solving. At 21, I moved to Sweden to pursue my PhD in Physics. Over the years,
I’ve developed a strong technical expertise in machine learning with tools like
TensorFlow, PyTorch, and scikit-learn. Alongside this, I’ve honed my expertise in MLOps,
cloud computing, and ML engineering, utilizing platforms and tools like AWS, Docker, and MLFlow.
As a dedicated Linux user for over a decade, I bring extensive experience in Python-based
development and version control with Git and GitHub/GitLab.
Beyond my technical skills, I excel at managing and leading both research and business
projects. I’m autonomous, self-driven, and have a knack for planning and execution. With
fluency in French and English and advanced Japanese proficiency (JLPT N2), I enjoy
collaborating in multicultural teams and thrive in dynamic environments.
Feel free to contact me if you want to know more!
日本語での自己紹介はこちらへ
Professional Experience
Senior Data Scientist & ML Engineer
Helicon Technologies, Sweden
Mar. 2024 — Ongoing
- Led the development and deployment of a real-time anomaly detection pipeline for batteries on AWS, managing data pipelines, modeling, and MLOps workflows.
- Built an HVAC optimization framework using time series forecasting and gradient-free optimization for energy efficiency and indoor climate optimization.
- Architected an energy optimization and forecasting solution for electricity systems involving energy assets (e.g., PV cells, batteries), driving improved resource utilization and operational efficiency.
Senior Data Scientist
Twigeo, Sweden
Sep. 2022 — Feb. 2024
- Promoted from Data Scientist to Senior Data Scientist in July 2023.
- Led and implemented a geo-testing framework based on the Synthetic Control Method with a Bayesian compute engine, doubling the analytical offering reach, and securing partnerships with Meta and TikTok.
- Conducted time series analysis using Bayesian and classical machine learning methodologies, market saturation regression analysis, and developed ML models for Media Mix Modeling (MMM) for ad-spend optimization.
- Architected and maintained ETL pipelines with Airflow, AWS, and Snowflake, and the MLOps infrastructure.
- Deployed user-friendly data-driven dashboards and apps to scale data discovery across non-technical teams.
- Mentored and trained junior team members in advanced data science techniques.
PhD Researcher
Uppsala University, Sweden
Aug. 2017 — Jul. 2022
- Planned and executed research projects around quantum materials for spin-orbitronics.
- Published in high-quality scientific journals such as APS and Nature, and presented at international conferences.
- Developed massively parallel software for high-performance computing centers in C++ with MPI, enabling large-scale distributed computing across dozens of nodes and hundreds of CPUs.
- Supervised and mentored students' projects and theses, and laboratory classes.
Education
PhD in Physics
Uppsala University, Sweden
Aug. 2017 — May 2022
- Thesis: First-principles theory of electrically-induced spin and orbital magnetization.
- PhD Representative of the Materials Theory Division (Feb. 2018 - Sep. 2021).
Master In Physical Engineering
Catholic University of Louvain, Belgium
Sep. 2015 — Jun. 2016
- Summa Cum Laude (“La Plus Grande Distinction”).
- Erasmus Exchange Program in NTNU Trondheim, Norway (Sep. 2015 - Jun. 2016).
- Treasurer for the university-funded Japan-related project “KotManga” & organizer of Japanese-French language exchange events 日本語話そう会 (Sep. 2016 - Jun 2017).
- Student representative.
Bachelor in Engineering
Catholic University of Louvain, Belgium
Sep. 2012 — Jun. 2015
- Magna Cum Laude.
- Treasurer for the university-funded Japan-related project “KotManga” & organizer of Japanese-French language exchange events 日本語話そう会 (Sep. 2014 - Jun 2015).
Certificates
Jan 2025
Issued by: AWS Training and Certification
August 2024
Issued by: The Japan Foundation & Japan Educational Exchanges and Services
February 2022
Issued by: IBM (Coursera)
December 2020
Issued by: University of Pennsylvania (Coursera)
March 2020
Issued by: DeepLearning.ai (Coursera)
August 2019
Issued by: University of Washington (Coursera)
Skills
Platforms
Linux,
MacOS,
Windows (+WSL),
headless servers (SSH),
full UNIX command-line proficiency
Programming
Python,
SQL,
R,
C++,
Bash,
Git,
GitHub/GitLab,
environment management (conda, rye, venv),
etc.
Python & ML
Numpy,
Pandas,
Polars,
Matplotlib,
Plotly,
Streamlit,
Pydantic,
Optuna,
TensorFlow,
Pytorch,
JAX,
Keras,
Numpyro,
Sklearn,
XGBoost,
PySpark,
Hugging Face,
LangChain,
etc.
Cloud & MLOps
AWS (S3, Glue, Athena, SageMaker, etc.),
SSH,
ETL,
Docker,
Traefik,
Kedro,
MLFlow,
DVC,
BentoML,
Data warehouses,
Data lakes,
FastAPI,
etc.
Leadership & Communication
Project planning and management,
Excellent communication skills,
Experienced at teaching and managing groups of more than 20 people,
Technical Writing (scientific papers, reports, documentation),
Strong work ethic
Awards
-
Best Poster Award, European School on Magnetism 2018
September 2018 | Kraków, Poland
Best poster award for presenting my work on antiferromagnetic spintronics.
-
Bronze Medalist, International Physics Olympiad 2012
July 2012 | Tallinn, Estonia
Belgian representative at the International Physics Olympiad 2012 and Bronze medalist.
-
Excellence Prize
June 2012 | Collège Sainte-Marie, Saint-Ghislain, Belgium
Awarded for graduating as the top student of my year in high school, recognizing outstanding academic performance and overall excellence.
Publications
You can see a list of my publications on my Google Scholar profile!