Alessandro Pedori
Lead AI Engineer
Experience
Lead AI Engineer
Epikast
Creating a study/learn copilot and support system for scientific advisors. Worked from design to implementation using different LLMs in various steps, RAG, evaluation, observability, guardrails, tests and regression tests.
Implemented careful testing frameworks to ensure reliable and controlled model outputs. Focused on maintaining human agency while augmenting capabilities through AI.
MVP Developer
Hearst - Technology
Developed applications utilizing LLMs and GPT to automate content creation and categorization.
Applied advanced prompt engineering strategies to streamline automated workflows.
Co-Founder | CTO | Coach
IFS Collective
Co-created company offerings, shaped goals, and established online presence.
Developed AI applications to support Internal Family Systems and talk therapy while ensuring ethical guidelines were respected.
Research NLP Engineer
CARIAD / VW
- Designed NLP systems to automate advanced customer support workflows, ensuring accuracy and efficiency.
Research ML Engineer
Molab
Researched, developed, and compared transformer-based architectures to predict ADMET features from SMILES representations.
Adapted published research code to the production environment.
Industry Leader | AI Business Consultant Course
Hyper Island
Developed a curriculum for hands-on programming and AI applications.
Mentored students on building AI prototypes and solving real-world problems.
Lead NLP Engineer / Data Scientist
Staircase
- Implemented techniques to extract actionable insights from emails and transcripts, focusing on fine-tuning LLMs, prompt engineering, and simpler NLP techniques.
CTO
EnterpriseAI
Designed and implemented NLP and ML-based solutions, including embedding generation, model testing, and data preprocessing.
Conducted workshops, client training, and requirements gathering to align AI tools with business needs.
Applied prompt engineering to refine AI-driven solutions for business-specific challenges.
Lead ML Engineer
Klarna Bank
- Built infrastructure on AWS, developed and secured tools to enable data scientists to work faster, and handled packaging of models and CI/CD processes.
Senior ML / MLOps Engineer
Various Projects
Designed microservices for ML models, built pipelines, and optimized infrastructure for NLP, image processing, and OCR tasks.
Integrated fine-tuning and prompt engineering across NLP pipelines.
Led team facilitation workshops and unconferences to enhance knowledge sharing.
Taught advanced workshops on Python, ML pipelines, and applied NLP for companies and individuals.
Language Technologies Engineer
Apple Inc.
- Performed software engineering specific to translation and localization of Siri interfaces and back-end into Italian.
Web Editor
Yahoo! Inc.
- Conducted data analysis and data mining using custom tools developed in Perl and JavaScript.
Industry Experience
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Experienced in Information Technology, Healthcare, Education, Media and Entertainment, Automotive, and Biotechnology.
Business Area Experience
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Experienced in Information Technology, Product Development, Customer Service, Research and Development, Business Intelligence, and Quality Assurance.
Summary
I am an AI, ML, and NLP engineer with more than two decades of diverse experience across various industries. I specialize in aligning technical systems (not only AI) with human-centered values and enabling people to shine through thoughtfully designed technology. As a software engineer focused on AI, particularly NLP, I navigate the realm where technology meets humanity, ensuring that AI serves the goals of the users safely and effectively. My interest is in allowing humans to shine at what we are best at, letting machines do what is best automated.
Beyond technology, I teach technical and non technical skills, facilitate workshops, and coach individuals, combining technical and soft skills to empower teams and individuals.
My approach is pragmatic, human-centered, and informed by ethical principles.
Skills
Machine Learning (Ml) & Nlp: Fine-tuning Models (Bert, T5, Gpt-2), Implementing Ml Pipelines, Transformer-based Architectures
Machine Learning (Ml) & Nlp: Implementing Guardrails And Safety Measures In Production Ml Systems
Machine Learning (Ml) & Nlp: Strong Background In Prompt Engineering With Emphasis On Reliable And Controlled Model Outputs
Machine Learning (Ml) & Nlp: Some Distributed Training And Ml, But Not Massive
Software Development: Weapon Of Choice Python; Willing To Use Rust, Elixir, Go, Javascript In The Right Cases
Software Development: Experience In Designing Ml Systems, From Ideation To Bringing Models To Production
Software Development: Extensive Experience Using Llms In Production, Rag, Fine-tuning
Software Development: Excellent Ability To Work In A Team Environment (Both On-site And Remote), With Team Leadership Experience
Software Development: Thorough Knowledge And Practical Use Of State-of-the-art Development Tools And Practices, With Strong Ability To Rapidly Learn New Technologies
Software Development: Hardcore *Nix (Gnu/linux, Os X, Bsd, Etc.) User, Preference For Open Source
Communication: Strong Communication, Leadership, And Interpersonal Skills
Communication: Experienced In Teaching, Public Speaking, And Facilitating Workshops
Ways Of Working: Enjoys Using Pragmatic Tools From Design Thinking, Rad, Agile
Design Principles: Human-centered Design, Ethical Use And Development Of Ai (And Technology), Agency, Informed Consent, Human Augmentation
Technical Leadership: Team Facilitation, Agile Development, Enabling Collaboration And Knowledge Sharing
Facilitation & Coaching: Developing Tools For Implicit Knowledge Flow, Fostering Collaboration, Organizing Unconferences, Empowering Individuals
Personal: Focused And Goal Oriented, With Strong Interest In Learning And Research For Its Own Sake
Personal: Problem Solving And Troubleshooting Mindset
Personal: Focus On "Group Processes Technologies", From Facilitation To Leadership
Programming And Scripting Languages: Weapon Of Choice Python; Also Uses Rust, Elixir, Ruby, Go, Javascript In The Right Cases
Specialization: Nlp, Machine Learning, Ai And Ai Safety And Guardrailing, Distributed Processing And Ml Systems, Human-centered System Design
Machine Learning Stacks/tools: Pytorch, Langchain, Langfuse, Opik, Keras, Tensorflow, Scikit-learn, Spacy, Nltk, Gensim, Pydantic Ai
Web & Platforms: Llms (Api And Hosted), Databases (Mostly Postgres, Couchdb/couchbase, Other Nosql), Elasticsearch, Aws/gcp, Git
Other: Usability, Strong Research Capabilities, Internationalization And Attention To Languages/multiculturalism
Languages
Education
Alma Mater Studiorum
M.Sc in Computer Engineering (Doctor Magister in Ingegneria Informatica) · Computer Engineering · Bologna, Italy
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Experience
Global Experience
Expertise
Qualifications
Profile
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