Marco Pennacchiotti
Head of Data Science and Data Engineering
Experience
Head of Data Science and Data Engineering
Entrix
- Established and leading multi-year research roadmap
- Developed and implementing hiring plan for science and data
- Spearheading data engineering efforts in the company
- Led the team to deploy a new trading algorithm, increasing assets’ revenue of 18%
Senior Machine Learning Engineer
Meta
- Delivered a solution to automatically generate high-quality fine-tuning datasets to train LLama to use external tools (e.g. search engine, code compiler)
- Fine-tuned the Facebook Social Graph Neural Network model to recommend Reels to cold-start users and optimized the code of the production data pipeline, resulting in 10% saving of production storage capacity
- Successfully demonstrated the feasibility of performing semantic operations on top of Facebook Sonar linguistic embeddings across multiple languages
Head of Data Management and Data Analytics, Autonomous Driving
BMW AG
- Managed a 50+ people organization of internal and external developers, responsible for the end-to-end ingestion, management and servicing of Autonomous Driving (AD) data collected from the BMW development fleet and the BMW worldwide customer fleet
- Delivered first end-to-end solution at BMW for validating AD functions using data from customer vehicles, achieving >20% saving in testing budget
- Implemented novel data quality strategy and pipelines, which resulted in an increase in data usability from 40% to 70%
- Successfully transitioned the organization from vehicle generation 2021 to 2025, despite resource tightness, with minimal attrition and roadmap delays
Technical Manager, Autonomous Driving
BMW AG
- Delivered first large scale solution that evaluates AD functions, processing 600TB data nightly, and used by >40 teams, key for the successful start of production of BMW Level 2 AD vehicles
- Overhauled existing data ingestion pipeline for the AD test fleet, introducing state-of-the-art solutions for monitoring, logging, observability, improving pipelines success rate from 80% to 99%
- Delivered global CI/CD for AD data pipelines, enabling data usage across geographical locations (Europe, US, China) and cooperation partners
Principal Engineer
BMW AG
- Implemented first scalable pipeline to ingest data from the AD test fleet, transitioning from manual copying to automated data center pipelines, scaling to petabytes of data
- Built the team from ground up, from 2 developers to 10; the team evolved in 2021 into an organization of 50 people
- Led data cooperation with AD partners and was responsible for overall architecture design and implementation
AI Specialist
Loop AI
- Developed large scale text mining algorithms for startup, including automatic identification of persons’ life events from social media accounts
- Supported CEO in defining technical vision and preparing pitches to prospective investors
Principal Engineer, Search Science & Rapid Response
eBay Inc.
- Developed supervised and unsupervised ML solutions to identify customer painpoints from customer service data (email, chat sessions), reducing customer contacts to customer service department by 5%
- Launched real-time algorithm for search that identifies near-duplicate items posted by unruly sellers, contributing to increased yearly revenues generated by the eBay search engine
Staff Research Scientist, Search Science and Content Science
Yahoo! Inc.
- Developed ML algorithms to extract and classify millions of entities from textual sources, delivering generated knowledge bases to support query analysis at search time
- Launched applications and ML algorithms in production, empowering Yahoo! properties (e.g. Yahoo! Sports and Yahoo! Movies) with relevant real-time social media feeds
Summary
Accomplished organizational and technical leader with more than 15 years of experience at top software technology companies, including Meta, eBay and Yahoo!, focusing on Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP) and Data Engineering.
Successful hands-on track record in AI since 2006, encompassing research, software development and business development. Proven ability to help organizations accelerate their technical innovation, become more agile, and foster a proactive “get things done” mentality by leveraging a decade of experience in Silicon Valley. Strong ability in building and leading technical teams across functions and geographical regions, as well as being able to dive deep to find solutions for technical challenges.
Skills
Technical
- Machine Learning
- Natural Language Processing
- Search Science
- Text Mining
- Data Engineering
- Software Development Lifecycle (E.g. Testing, Ci/cd)
- Ad Data Lifecycle And Data Processing
- Ad Data-driven Verification And Validation
- Energy Trading
Leadership
- “Get Things Done” Attitude
- Technical And People Leadership
- Ability To Build Teams And Orgs From Ground Up
- Vision, Strategy And Roadmap Management
- Mentorship Of Senior Technical Leaders
- Clear Communication And Responsibility Setting
- Cross-functional And Geographically Distributed Project Management
- Cross-company Stakeholder Management (E.g. Suppliers, Cooperation Partners)
Languages
Education
University of Rome Tor Vergata & University of Southern California
PhD in Computer Science, Artificial Intelligence, NLP · Computer Science, Artificial Intelligence, NLP · Los Angeles, United States
University of Rome Tor Vergata
MS in Computer Science · Computer Science · Rome, Italy
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