Renato D.
Principal Consultant Digital Transformation
Experience
Principal Consultant Digital Transformation
TSE
- Created the AI strategy working with the COO
- Created the data strategy for the CIO
- Helped the COO identify AI use cases and defined process changes from governance to operational execution
- Assured regulatory compliance for GDPR and EU’s Artificial Intelligence Act, and 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 impact of various AI initiatives and built business case models to evaluate project feasibility
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 solutions for multi-cloud deployment using Ray Serve, Langchain, and Kubernetes on AWS, Azure, and GCP
Designed a production environment to deploy PyTorch models with GenAI and Agentic AI applications, replicable across AWS, Azure, and GCP using Ray Serve
Built two iterations of an engineer copilot AI system for aircraft problem diagnosis and downtime estimation
Defined taxonomy for aircraft and engine malfunctions and built a temporal knowledge graph consumed by an LLM agent
Built a graph database using a fine-tuned LLM and Langchain to classify aircraft maintenance records
Fine-tuned a PyTorch BERT classifier on 20M maintenance records, deployed on Hugging Face for AWS, Azure, and GCP
Defined a RAG architecture and LLM agent workflows using Langchain’s LangGraph library
Used Flask and Streamlit for quick prototyping
Used FastAPI to interface agents with SAP ERP web services for spare part availability and procurement reporting
Implemented vector databases: Azure AI Search, Pinecone, and Vertex AI Matching Engine
Used ChatGPT-4o on Azure/AWS and Gemini on GCP
Created a two-stage GenAI/Agentic AI RAG architecture to propose causes, parts for inspection/replacement, expected downtime, and subsequent parts worth checking
Built multimodal GenAI POCs accepting image or voice input and generating prompts for the engineer copilot application
Used Microsoft Copilot on Azure for chatbot orchestration and tool/agent calling flow definition
Defined data architecture and migration to create an analytics DWH using Snowflake, consolidating data from multiple airlines
Built a data lake on AWS, Azure, and GCP for different OPCOs
Defined data governance and data quality roles with HR
Created data pipelines for ingestion
Principal Data Scientist and Enterprise Architect
Teneo/TSE – Kerzner
- Defined scope for analytics, business intelligence, and AI marketing; prepared business case and led implementation using a CWS data lake and Power BI
- Defined taxonomy and produced a knowledge graph via a GenAI application in Python for direct and indirect marketing based on reservation and browsing history
- Developed time series analysis studies using Spark, Pandas, and XGBoost
- Provided architectural oversight and cost analysis for migrating infrastructure to AWS and Azure
- Defined and managed the Enterprise Architecture function until permanent hire; procured and adopted Sparx Enterprise Architect
- Audited IT strategy alignment with corporate strategy and defined scope for digital transformation program
- Defined data management, data lifecycle, and data governance principles
Principal Data Scientist and Enterprise Architect
TSE - Daman Health Care
- Performed exploratory data analysis and built Python data pipelines to improve data quality
- Developed fraud reports comparing medicine provision against doctor prescriptions
- Created reconciliation reports for outpayments and future service usage reports for hospitals
- Built a neural network text classification model in PyTorch
- Applied NLP techniques for text preparation, using BioWordVec for domain-specific LLM training
- Used LLMs and agents for prescription interpretation and dosage estimation
- Forecasted spending and material procurement using Prophet and PyTorch LSTM
- Defined solution blueprints and employed blockchain for prescription authorization and chain reconciliation
- Digitized documentation and escalation processes using e-Sign and Click-Wrap
- Modeled data architecture for an analytics DWH with Databricks/Spark and defined data governance
- Implemented anti-fraud systems for unauthorized entitlements and prescription anomalies
Principal AI Architect and Data Scientist
TSE
- Defined enterprise architecture for deployment of multiple AI-based solutions
- Developed Python POCs for complex AI systems, composing pipelines of individual models
- Built a video analytics system using YOLO, SORT, and OpenPose to suggest improved camera angles and illumination
- Built a meeting summarization system using PyAudioAnalysis, Whisper, BertSum, and OpenAI
- Interpreted doctor prescriptions and validated medicine authorization requests using Llama, Langchain agents, and blockchain for prescription notarization
- Implemented semantic search with Pinecone and ChromaDB vector databases
- Performed time series forecasting using XGBoost and Prophet for sales forecasts and supplier requirement derivation
Project Manager
TSE Dubai - TSEPay
- Managed a team of ~20 FTEs and responded to customer tenders by preparing RFP documents
- Managed blockchain technology suppliers and integrated certified communication
- Created and deployed a BERT AI model for anti-fraud prediction and analysis
- Generated sales and personnel performance reports using Python, PySpark, Pandas, and Prophet with Ray
- Implemented an AI-based chatbot with agents for customer queries
- Defined data architecture for an analytics DWH on AWS Databricks
- Deployed TSEPay on public SaaS and private clouds, defining application data architecture for operations and reporting
- Enabled payments between TSEPay deployments for international remittances
- Integrated with bank-as-a-service and payment gateway providers and issued wallet-based debit cards
Principal
TSE - Amara Telecommunications Myanmar
- Defined IT strategy and roadmap for commercial launch of a 4G LTE operator in APAC
- Created and staffed the design authority board
- Defined data management, data lifecycle, and data governance
- Designed nationwide smart meter deployment and integrated middleware and billing systems
- Defined and delivered ITSM function via partners (Hitachi, Huawei), procuring and configuring ITSM software
- Managed creation of service management processes using ITIL framework
Principal
TSE - Ice.net
- Created IT strategy and roadmap for a Norwegian telecoms company
- Developed enterprise architecture blueprints from BPMN processes using Sparx Enterprise Architect
- Managed implementation of IT stack and customer migration of acquired MVNO operator
- Procured and implemented an Online Charging System for a convergent billing environment
Principal
Liberty Global Group
- Oversaw technology aspects of an 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, reporting to the CIO, ensuring smooth transition during implementations
- Defined IT strategy, roadmap, and new enterprise architecture impacting legacy systems
- Oversaw procurement of infrastructure to support Huawei’s Online Charging System deployment
- Designed and integrated a digital portal with SOA architecture for access to Digital and Online TV 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.
Languages
Education
Master’s degree · Statistical and Economical Sciences
MBA · MBA
Certifications & licenses
TOGAF
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