Manfred Nesti
Big Data & Scientific Computing
Manfred Nesti
Big Data & Scientific Computing
Embedded Files
Big Data & Scientific Computing
I am a Mathematical Engineer with a master’s degree in Computational Science and Computational Learning from Politecnico di Milano. I specialize in Data Science & AI, Data Engineering, and Scientific Computing, with a strong foundation in implementing advanced algorithms and scalable data-driven solutions. My experience includes leading complex projects in Big Data, cloud data warehousing, and real-time processing, utilizing AI and Large Language Models (LLMs) in web and mobile applications.
In 2018, I co-founded SmartCreative Srl in Italy, where I drive data strategy and innovation, solving complex problems in a collaborative, results-driven environment.
Skills
Skills
Back-end
Databases
VM
Atlassian
GCP
ETL
ML & DL
BI
Front-end
Others
Experiences
Experiences
Big Data Engineer | Agile Lab
September 2022 – present
• Consultant for an international utility working in a data platform context on AWS.
• Developed Java (Spring Boot) microservices and Scala (Spark) streaming services within AWS EMR for batch and streaming tasks, maintaining code quality with CI/CD.
• Architected data solutions for electric grid interruptions, supporting KPI monitoring, data enrichment, and critical business operations via a front-end interface.
•Built high-throughput Spark and Kafka pipelines (1000+ messages/sec) for real-time grid status tracking, also leveraging event sourcing.
Head of Data | SmartCreative Srl
April 2020 – present
• Designed and built a scalable BigQuery data warehouse with real-time ETL from MongoDB, featuring automated data pre-processing, enrichment, and schema updates.
• Established a microservices chain on Cloud Run for reverse ETL and CRM updates, leveraging Google Tasks for efficient workload distribution.
• Implemented a medallion architecture in BigQuery using Airflow as orchestrator, leveraging CI/CD.
• Developed interactive BI dashboards on Looker Studio for real-time KPI tracking with advanced visualizations.
• Launched AI-powered content generation for quizzes, integrating GPT-4 with MongoDB for direct analysis and content review workflows.
• Established comprehensive FinOps monitoring for cost control, enabling real-time alerts.
COO | SmartCreative Srl
June 2018 – March 2020
• Co-designed a quiz app for university students, overseeing prize competitions and regulatory compliance.
• Led a team of 100+ students and professors for content creation and quality control, managing contracting and payments.
• Secured B2B agreements with 25+ companies across Europe for exclusive in-app rewards, coordinating integration and deployment.
• Supervised workflow for discount and prize logistics, ensuring timely availability for users.
• Enhanced user satisfaction by managing helpdesk operations and overseeing app store reviews, ensuring feedback-driven improvements.
Teaching Assistant Tutor | Politecnico di Milano
February 2022 – September 2022
■ Teaching assistant tutor for the course “Foundamentals of Mathematics and Statistics” (A.Y. 2021-22) for students of 1st grade of Urbanistic degree program
Professor of Mathematics | MIUR
February 2022
■ Professor of Mathematics for students from 1st to 5th grade of high school
Education
Education
M. Sc. | Computational Science and Learning | Politecnico di Milano
September 2020 – October 2022 | 110/110 Cum Laude
■ Analytical and Numerical methods for PDEs
■ Advanced Programming for Scientific Computing
■ Computational Fluid Dynamics
■ Turbolence theory and modelling
■ Applied and Computational Statistics
■ Machine Learning and Data Mining
■ Deep Learning and Artificial Neural Networks
■ Image classification, Image segmentation and Visual Question Answering
B. Sc. | Mathematical Engineering | Politecnico di Milano
September 2016 – March 2020
■ Partial Differential Equations (PDEs)
■ Functional Analysis
■ Numerical Analysis
■ Inferential Statistics and Probability Theory
■ Operations Research
Courses & Certifications
Courses & Certifications
Databricks Academy | Databricks
■ Certified Data Engineer Associate | Apr 2023 – Apr 2025
■ Certified Machine Learning Associate | Aug 2023 – Aug 2025
■ Certified Data Analyst Associate | Aug 2023 – Aug 2025
■ Lakehouse Fundamentals | Apr 2023 – Apr 2025
■ Generative AI Fundamentals | Aug 2023 – Aug 2025
Google Cloud Platform | Google Cloud Skill Boost
November 2022 – present
■ Google Cloud Essentials | Completion Badge
■ Big Data and Machine Learning Fundamentals | Completion Badge
■ Exploring Data with Looker | Smart Analytical Skill
■ BigQuery for DataWarehousing | Completion Badge
■ Engineer Data in Google Cloud | Smart Analytical Skill
■ How Google Does Machine Learning | Completion Badge
■ Insights from Data with BigQuery | Smart Analytical Skill
Work Projects
Work Projects
Implementation of a real-time ETL change stram from MongoDB to BigQuery | SmartCreative Srl
November 2021 – January 2022
■ Python’s multiprocessing are used to parallelize the work for each collection
■ Automatic schema detection, schema update and errors handling for each collection through data backfill
■ Real-time change stream through MongoDB’s OpLog replica set
■ Software containerized and running to allow pipelining with other microservices
✏️ Python, MongoDB, GCP, BigQuery
Implementation of a cloud microservices linked to a real-time ETL | SmartCreative Srl
February 2022 – present
■ Python’s FastAPI was used to implement the back-end of the microservices
■ The worker can use both real-time ETL data and large amount of data stored in the datawarehouse
■ Multiple workers can be modularly attached to follow different pipelines as alerting services or ML predictive models
✏️ Python, FastAPI, GCP, Kubernetes
Academic Projects
Academic Projects
A mathematical model to simulate oxygen exchange in cardiac muscle | Politecnico di Milano
Course of Advanced Programming for Scientific Computing
September 2019 – October 2022
■ The model works on patient-specific geometries of coronaries and myocardium, providing partial pressure and concentration of oxygen inside the muscle
■ The model is coupled with other physics as blood fluid dynamics in coronaries (Navier-Stokes equations) and blood perfusion in smaller arterioles and capillaries (Darcy’s law)
■ Implementation in life𝑥, a high-performance C++ Finite Element library used for cardiac applications
■ Simulations performend on an HPC cluster
✏️ C++, Bash, CI/CD
Topology optimization of lattice materials with nonlinear elasticity law | Politecnico di Milano
Course of Numerical Aalysis for PDEs
September 2019 – June 2021
■ Physical modeling and mathematical formulation of the problem through calculus of variations and optimal control
■ The model works with linear and nonlinear different forms of elasticity law
■ Inverse homogenization technique allows to optimize the periodic cell providing desired macroscopic properties of the material, as stiffness or negative Poisson’s ratio
■ Implementation in FreeFem++, a C++ Finite Element library used for scientific computing
✏️ C++, FreeFem++, Bash, Git
Data analysis on patients affected by Myelodysplastic Syndrome | Politecnico di Milano
Course of Applied Statistics
September 2020 – June 2021
■ Project in collaboration with Humanitas Research Hospital
■ A real dataset of patients affected by Myelodysplastic Syndrome was studied
■ Survival Analysis and Neural Networks are used to perform Survival Cluster Analysis
■ Top 5 on 33 groups in the final poster project session
✏️ Python, R, Pandas
A CNN-based classifier to recognize people with and without face mask | Politecnico di Milano
Course of Artifical Neural Networks and Deep Learning
November 2020
■ Transfer learning was used to fine-tune different CNNs
■ The final classifier was obtained combining the CNNs through ensemble methods
■ 95% accuracy on test set was achieved
■ Top 20% group in the final leaderboard
✏️ Python, Keras, TensorFlow
Reach me out
Reach me out
Page updated
Google Sites
Report abuse