Enrico Schincariol
Lead Data Scientist — Generative AI & Agentic Systems
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experience
6+ years
Lead Data Scientist at ADAPTFY.
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focus
AI engineering
Generative AI, agentic systems, enterprise RAG and predictive ML.
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delivery
MVP to production
Rapid prototyping, architecture and delivery.
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operations
GenAIOps
Evaluation, observability, CI/CD and secure cloud.
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education
MSc, Quantitative Finance
University of Ljubljana — 2021.
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languages
5 languages
Italian, Slovenian, English, Spanish, German.
Generative AI
- Retrieval-Augmented Generation
- Enterprise knowledge assistants
- Multi-agent orchestration
- Agentic workflows
- Code generation & execution
- Audio transcription
- Churn prediction
- Profitability estimation
- Sales-order & demand forecasting
- Segmentation & clustering
Enterprise & Production
- AI evaluation & benchmarking
- Guardrails & safe AI
- Human-in-the-loop feedback
- Responsible AI & governance
- Prompt & model versioning
- RBAC & secure document access
- PII redaction & auditability
- Cloud & third-party integration
- CI/CD, infrastructure as code
- Observability & CloudOps
- Monitoring, drift & auto-retraining
Stack
- Python, SQL, TypeScript
- Cloud Services
- Databricks
- MLflow, ZenML
- LangChain, LangGraph
- HuggingFace
- Claude Code, Opencode
- Terraform
Leadership
- MVP scoping & rapid prototyping
- Technical roadmapping
- Architecture & delivery standards
- Sprint planning & cross-functional coordination
- Mentoring scientists & engineers
- Stakeholder alignment
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Lead Data Scientist — ADAPTFY
Lead strategy, architecture and delivery for AI products spanning generative AI, predictive ML and intelligent automation. Scopes AI MVPs from business requirements and translates feasibility into production architecture and delivery plans.
Owns technical decisions across application design, cloud integration, security, maintainability and delivery speed. Sets standards for AI development, MLOps, LLMOps and responsible AI; mentors scientists and engineers across data, product and business teams.
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Associate Data Scientist — ADAPTFY
Architected a business analytics platform combining multi-agent orchestration with role-based access control; built agentic code-generation and cloud-execution workflows and RAG-based “talk with your data” applications.
Delivered audio-transcription and LLM content-generation systems, predictive models for churn, profitability and sales orders, and customer clustering — moving prototypes to production with CI/CD, IaC, observability and CloudOps.
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Analyst Data Scientist — ADAPTFY
Designed and deployed cloud-based AI/ML solutions across client environments; built end-to-end ML pipelines with cloud solutions, CI/CD, monitoring and automated retraining.
Architected secure RAG for context-aware document access, LLM tools for personalised cross-selling, and predictors for churn, sales orders and demand.
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Data Scientist & Engineer — Tellow
Built cloud ingestion and ETL pipelines on cloud solutions; improved quality, integrity and compliance in high-volume processing.
Replaced proprietary reporting with Apache Airflow and Metabase; delivered dashboards and recommendations for marketing and executive stakeholders.
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Actuary — Prva Osebna Zavarovalnica, d.d.
Actuarial practice preceding the move into data science and engineering. Master's in Quantitative Finance and Actuarial Sciences, University of Ljubljana, 2021.
Each project below is drawn directly from the appointments above — enterprise systems delivered on cloud solutions, from secure RAG to agentic analytics to forecasting at scale.
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01
Business analytics platform — multi-agent orchestration with RBAC
Analytics platform where orchestrated agents plan, query and summarise over governed data, with role-based access enforced at retrieval and execution time.
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02
Agentic code generation & cloud execution
Agents that write, validate and run analysis code in the cloud for multi-classification use cases — closing the loop from question to governed, reproducible result.
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03
“Talk with your data” — enterprise RAG
Conversational access to enterprise information: retrieval pipelines over internal corpora, cited answers, and access-aware ranking for business users.
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04
Audio transcription & LLM content generation
Enterprise transcription pipelines paired with LLM drafting — from recorded speech to structured, publishable content with human review in the loop.
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05
Secure RAG for internal documents
Context-aware assistant over sensitive documents where permissions travel with every chunk — secure retrieval, redaction-aware prompting, auditable access.
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06
Predictive suite — churn, profitability, sales & demand
Production predictors for retention, profitability, sales orders and demand — cloud solutions pipelines with CI/CD, monitoring and automated retraining.
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07
Segmentation, clustering & personalised cross-sell
Customer clustering and segmentation feeding LLM-powered cross-selling — personalised recommendations grounded in behavioural cohorts.
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08
Cloud data pipelines & BI modernisation
Cloud ingestion and ETL on cloud solutions; migration from proprietary reporting to Airflow + Metabase dashboards for marketing and executives.
Master's in Quantitative Finance and Actuarial Sciences
Bachelor's Degree in Economics
Languages
- ItalianNative
- SlovenianNative
- EnglishC2
- SpanishLimited working
- GermanLimited working