Renato Dall’armi
Principal consultant Digital transformation
Experience
Principal consultant Digital transformation
TSE
- The client is an American company with various offices in Europe offering services for the pharmaceutical sector including clinical trials, manufacturing, distribution, storage transport, logistics and reverse logistics.
- Undergoing a digital transformation effort; provided strategy definition and operational execution.
- Created the AI strategy working with the COO.
- Created the data strategy for the CIO.
- Helped the COO identify AI use cases and defined how processes would change from governance definition to operational execution.
- Ensured regulatory compliance for GDPR and the EU’s Artificial Intelligence Act (AI ACT) along with GDP compliance for pharmaceutical processes.
- Championed the definition of development processes, tools and infrastructure for producing and serving AI models.
- Championed the definition of the AI products’ operating model.
- Estimated the impact of various AI initiatives and built business case models for project feasibility evaluations.
Principal AI architect and senior data scientist
TSE - IAG
- Championed the definition of development processes, tools and infrastructure for producing and serving AI models.
- Championed the definition of the AI products’ operating model.
- Analyzed and developed multi-cloud deployment solutions using Ray Serve, Langchain and Kubernetes on AWS, Azure and GCP.
- Designed a production environment to deploy multiple PyTorch models with GenAI and Agentic AI applications replicable across AWS, Azure and GCP.
- Built two iterations of the Engineer Copilot AI system to diagnose aircraft problems and estimate downtime.
- Defined taxonomy of aircraft and engine malfunctions to build a temporal knowledge graph for an LLM agent.
- Built a graph database using a fine-tuned LLM with Langchain to classify aircraft maintenance records.
- Fine-tuned a BERT classifier in Python and PyTorch on 20M maintenance records and deployed it on Hugging Face across three cloud providers.
- Defined a RAG architecture and LLM agent workflows using LangChain’s LangGraph for a multi-agent, multi-modal LLM application.
- Used Flask, Streamlit and FastAPI to interface agents with ERP (SAP) for spare part availability and procurement reporting.
- Implemented vector databases for semantic search (Azure AI Search, Pinecone, Vertex AI Matching Engine).
- Used ChatGPT-4o on Azure and AWS, and Gemini on GCP.
- Created a two-stage GenAI/Agentic AI RAG architecture to provide probable causes, required parts, expected downtime and subsequent inspection recommendations.
- Built POCs for multi-modal GenAI apps accepting photos and voice descriptions to query the Engineer Copilot.
- Used Microsoft Copilot on Azure for chatbot orchestration and tool/agent calling flow.
- Defined and migrated data architecture for an analytics DWH using Snowflake; consolidated data from airlines and built a data lake on AWS, Azure and GCP.
- Defined data governance and roles with HR; created data ingestion pipelines.
Principal data scientist and enterprise architect
Teneo/TSE – Kerzner Dubai
- Defined the scope and business case for analytics, business intelligence and AI marketing; spearheaded implementation using a CWS data lake and Power BI.
- Defined a taxonomy for a knowledge graph generated by an LLM based on reservation and browsing history to build customer behavioral models for direct and indirect marketing.
- Developed time series analysis studies using Spark, Pandas and XGBoost.
- Designed and cost-analyzed migration of infrastructure and application architecture to AWS and Azure.
- Defined and managed the Enterprise Architecture function; procured and adopted Sparx’s Enterprise Architect for the repository.
- Audited IT strategy alignment with corporate strategy; defined scope for the digital transformation program.
- Defined data management, data lifecycle and data governance principles.
Principal Data scientist and Enterprise architect
TSE Dubai - Daman Health care Abu Dhabi
- Designed end-to-end solution for digital transformation goals: reducing fraud in medicine prescription and automating claims handling.
- Performed exploratory data analysis for quality improvement and built Python data pipelines.
- Created medicine usage models; produced fraud reports on medicine provision against prescriptions; generated reconciliation and future service usage reports.
- Built a neural network model in PyTorch for text classification; applied NLP techniques for text preparation.
- Trained LLM (BioWordVec) on pharmacy products; used LLM+agents for prescription interpretation and dosage estimation.
- Conducted time series forecasting for supplier spending using Prophet and material procurement using an LSTM network in PyTorch.
- Defined solution blueprint and blockchain technology linking pharmacy employees/doctors to prescriptions for automatic outpayment validation.
- Digitalized documentation and agreements using e-sign and TSE Click-Wrap.
- Modeled data architecture for analytics DWH with Databricks/Spark; defined data governance with HR.
- Developed anti-fraud measures: entitlement fraud, over-prescription and repetitive prescription detection; created reconciliation and outpayment reports per supplier.
Principal AI architect and Data Scientist
TSE
- Defined enterprise architecture for deployment of multiple AI-based solutions.
- Developed Python POCs for complex AI systems combining individual models into pipelines, including: following objects in video with Yolo+SORT+OpenPose, meeting summarization using pyAudioAnalysis, Whisper, BertSum and OpenAI, and prescription interpretation and authorization using LLM (Llama), LangChain agents and blockchain.
- Implemented vector databases for semantic search (Pinecone, ChromaDB).
- Performed time series analysis and forecasting using XGBoost and Prophet to create sales forecasts and derive supplier requirements.
Project manager
TSE Dubai - TSEPay project
- Managed a team of ~20 FTEs and supplier relationships for blockchain technology.
- Prepared RFP documents and responses to customer tenders.
- Incorporated blockchain-based certified communication for a telecom and financial services crypto wallet aiming to become Mobile Money 2.0.
- Created and deployed an AI BERT model for anti-fraud prediction and analysis.
- Generated sales and personnel performance reports using Python, PySpark and Pandas.
- Conducted trend analysis on future sales per product/region/shop using Python, Prophet, scikit-learn and Ray.
- Implemented an AI-based chatbot with agents for customer queries.
- Defined data architecture for an analytics DWH using AWS Databricks; deployed TSEPay on public and private clouds.
- Defined application data architecture for operations and reporting; enabled payments across TSEPay deployments for international remittance.
- Integrated with Bank-as-a-Service and payment gateway providers; facilitated issuance of wallet-based debit cards.
Principal
TSE Dubai - Amara Telecommunications Myanmar
- Defined IT strategy and roadmap for the commercial launch of a 4G-LTE operator in the APAC region.
- Created and staffed the Design Authority Board; defined enterprise architecture.
- Defined data management, lifecycle and governance principles.
- Designed nationwide smart meter deployment, new middleware integration and a new billing system.
- Defined and delivered ITSM function through partners (Hitachi, Huawei); procured and configured ITSM software.
- Managed creation of service management processes using the ITIL framework.
Principal
TSE - Ice.net
- Created IT strategy and roadmap for Ice.net, a telecoms company in Norway.
- Developed IT architectural blueprint from BPMN processes using Sparx’s Enterprise Architect.
- Managed implementation of IT stack and migration of customer base of an acquired MVNO.
- Procured and implemented an Online Charging System for a convergent system.
Principal
Liberty Global Group
- Oversaw technology aspects of M&A exercise integrating an acquired MVNO into the company’s MVNE stack.
- Engaged in digital, BSS and video-on-demand projects for B2C and B2B segments.
Principal
Arthur D. Little - MCI Tehran
- Managed strategic change and demand as primary IT point of contact, reporting to MCI’s CIO.
- Defined IT strategy, roadmap and new enterprise architecture; assessed impacts on legacy systems.
- Oversaw procurement of infrastructure for Huawei’s Online Charging System deployment.
- Led design and integration of a digital portal with SOA architecture for Digital TV and Online TV access for mobile and broadband users.
Summary
An Enterprise architect with Data scientist and Artificial intelligence background, approaching 15 years of experience, gained across UK, the EU, Africa, Middle east, Asia Pacific and Australia regions. The core competence covers Enterprise architectural definition, Data science, Artificial intelligence with the use of LLM for Generative AI, creation of neural networks for the creation of classification models or for video or text classification, Time series analysis, all developed using Python.
Usually required to provide (Team & solution) leadership and know how, mastering the inter relationship between the 4 architectures a complex organization relies upon (Business, Data, Infrastructure, Application) to deliver its business strategy, liaising, depending upon the situation, with business or technical stakeholders, domain owners, project steering committees.
Skills
Artificial Intelligence: Expert In Ai Solution Definition, Based On Generative Ai, Agentic Ai, Mathematical Modelling, Time Series Analysis And Forecast, Neural Network-based Solution Definition And Development.
Enterprise Solution Definition: Executed The Requirement Gathering Of Business Needs Or Problems From Senior Stakeholders Producing The Formulation Of A Requirement That Could Be Delivered Upon And Defined A Solution Blueprint Fulfilling It In Terms Of Processes, Governance Applications And Infrastructure.
Data Management: Definition Of Data Model, Data Lifecycle, Data Governance, Data Management Principles.
Large Scale Deployment Leadership: Led Deployment Projects, Ensuring Proper Governance And Alignment With Client's Goals, From Conception To Completion.
Technical Deployment & Systems Integration: Oversaw The Definition Of It Solution Blueprints, Oversaw Their Deployments And Their Integration With The Existing Infrastructure.
Programming Python Sql
Multi-processing / Distributed Frameworks Ray For Distribute Analysis And Simulations On Ray Clusters Pytorch Lightening For Distributed Multiprocessing For Neural Network Development Using Pytorch.
Version Control Git / Github
Data Warehouse Databricks Pyspark On Databricks For Developing Dwh And Ai Reports And Models On Aws And Azure
Databases Oracle Mycrosoft Sql Server Postgresql Mysql Mongodb
Reporting Power Bi Tableau Excel
Etl Hitachi’s Pentaho Airflow
Cloud Aws (Amazon Web Services) Azure Google Cloud
Scripting Bash
Graph Libraries Matplotlib Seaborn
Tools Vscode, Jupiter Notebooks Anaconda Colab Mlflow Langchain Pytorch Lightning
Time Serie Forecasting Based Upon Artificial Intelligence (Ai) / Machine Learning (Ml) Meta’s Prophet Xgboost (Distributed On Multi Server Using Ray)
Neural Network Development Pytorch For Building Regression Models Classification Models Computer Vision Torchvision Torchtext Ann / Rnn / Lstm Rnn Modules Development And Fine Tuning
Nlp Corpus Cleansing Corpus Tokenisation Spacy Nltk Corpus Digitalisation One Hot Encoding Tf-idf Word2vec Tf-idf Word2vec Hybrid Embedding
Data Science Modin On Ray Clusters Pandas Scikit-learn Numpy Polars Pyspark Langchain Tensorflow / Keras
Generative Ai Llm Api Fine Tuning Prompt Engineering Llm Types: Openai (Azure’s Openai Or Standalone Openai) Dall-e Llama Gemini Rag Architectures Knowledge Graphs Graphdb Embedding Embedding Models Graphdb Based Embedding And Hybrid Searches Semantic, Keyword Based And Hybrid Searches For Rag Architectures Langchain Based Application Development Langchain Huggingfaces Api Langchain Groq Api
Vector Databases Azure Ai Search (Formerly Azure Cognitive Search). Vertex Ai Matching Engine Chromadb Pinecone Faiss Milvus
Languages
Education
Master’s degree, Statistical and Economical Sciences · Statistical and Economic Sciences
Certifications & licenses
TOGAF
Profile
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