Matteo Buffagni

Co-Founder

Reggio Emilia, Emilia-Romagna, Italy8 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

7+ years of experience in software and data engineering.
Expert in building scalable full stack applications.
Proficient in cloud infrastructure management and machine learning.

Stackforce AI infers this person is a Full Stack Developer with expertise in SaaS and Fintech solutions.

Contact

Skills

Core Skills

Data EngineeringFull Stack DevelopmentSaas Product Engineering

Other Skills

API integrationsAmazon Web ServicesAngularJSAutomated Algorithmic TradingBig DataBlockchainC++CSSCloud infrastructure managementComputer graphicsData analysisData visualizationDevOpsDjangoDocker

About

Tech enthusiast and result-driven full stack developer with 7+ years of experience in software and data engineering. Designed and developed solutions across multiple technologies, databases and third-party integrations. Used to work in a fast-paced and high-tech environment, with cross-functional teams and agile methodologies. "He who never stops learning will never get old"

Experience

Webranking

4 roles

Innovation Team Manager

Promoted

Mar 2025 – Present · 1 yr

Data engineering and data analysis - extraction, manipulation and visualization of data through the development of: collection and ingestion pipelines from various types of sources (such as advertising data, SEO data, customer behavior etc.), manipulation and analysis using custom tools, scripts and ML algorithms, data viz with the development of dashboards and presentations to showcase insights and key aspects.
Implemented Retrieval-Augmented Generation (RAG) systems and worked with vector databases to enable advanced semantic search capabilities.
Engineered and optimized data pipelines specifically for AI/ML model training, fine-tuning, and inference.
Development of innovative and scalable full stack applications (backend and frontend) either internal to the company or available to customers directly.
Cloud infrastructure architecture through Google cloud platform and amazon AWS services. virtual machine management, data/file storage and collection (BigQuery, DataStorage, DynamoDB etc.. ), development of scalable infrastructures with Kubernetes, docker (cloud run) and cloud functions.
Managed the end-to-end lifecycle of machine learning models using MLOps principles, including automated deployment, monitoring, and retraining.

Data engineeringData analysisMachine LearningGoogle Cloud PlatformAmazon Web ServicesDocker+6

Sr Innovation Engineer

Oct 2022 – Mar 2025 · 2 yrs 5 mos

Software & Data Engineer

Oct 2019 – Nov 2022 · 3 yrs 1 mo

Research Development Internship

Jun 2019 – Oct 2019 · 4 mos

Sferica automation llc

Founder / Full-Stack Architect / Quant Developer

May 2024 – Present · 1 yr 10 mos

As founder and Full-Stack Engineer, I designed, built, and deployed the entire Sferica Automation SaaS platform, a high-availability, multi-cloud solution for advanced financial analytical automation.
Principal Full-Stack Architect: Architected and engineered the entire high-availability SaaS platform from the ground up. This includes managing multi-cloud (AWS/GCP) infrastructure (Kubernetes, Docker, Nginx, SES, OAuth) and developing the full stack: a scalable parallel-processing backend (Python, FastAPI, Django, Redis, Celery, Pub/Sub), a modern frontend (Next.js), and complex API integrations with over 50 third-party services (Finance Brokers).
Quantitative Developer: Implement complex quantitative models, data analysis, and workflow automations using Machine Learning, LLMs, PineScript, and MQL.
SaaS Product Engineer: Built the platform's commercial infrastructure, including automated payment processing, subscription management, and automated community role synchronization.

SaaS developmentCloud infrastructure managementQuantitative modelingMachine LearningAPI integrationsFull Stack Development+1