Abigail – Python, LangChain

An event and ticketing platform for the electronic music scene. Organizers can publish events, sell tickets, manage attendance and validate secure QR-code tickets at entry. Attendees can discover events and buy tickets privately, without online tracking.

• Defined the company’s business model and long-term strategy.
• Developed partnerships with event organizers, promoters, venues, and industry stakeholders.
• Oversaw event publishing, ticket sales, refunds, organizer payouts, and customer support.
• Managed budgeting, pricing, revenue planning, and operational performance.
• Led marketing, brand development, customer acquisition, and market expansion.
• Ensured compliance with commercial, tax, privacy, and consumer-protection requirements.
• Supervised fraud prevention, payment security, and event-access procedures.
• Represented RAV3PASS in negotiations, partnerships, and institutional meetings.
• Built a reliable and secure experience for organizers and event attendees.

Advanced analytics and AI applications for enterprise clients of a global IT consulting company. Built generative AI, RAG and machine learning solutions on AWS, with data pipelines, MLOps and Tableau reporting.

• Built advance analytics applications for companies.
• Worked on cloud technologies, big data, artificial intelligence exploitation, Tableau, and database queries.
• Developed generative AI, RAG, LLMOps, data pipelines, and MLOps solutions.
• Built machine learning models and deep learning solutions.
• Worked with the AWS stack.

Big data and advanced analytics solutions for enterprise clients of a global IT consulting company. Led the technical work as Tech Lead, building AutoML models and MLOps workflows on Cloudera and AWS.

• Led the technical direction of data science and data engineering work as Tech Lead.
• Built big data solutions on the Cloudera platform.
• Developed AutoML and advanced analytics models.
• Set up MLOps workflows on AWS to deploy and maintain models.

Data and AI consulting for enterprise clients in banking, healthcare, electronics, and retail. Led a healthcare client’s SAS-to-big-data migration that cut processing time from 3–6 hours to about 12 minutes. Also built fraud-processing jobs on PySpark/Cloudera and end-to-end sales-forecasting pipelines.

• Cut a healthcare client’s processing time from 3–6 hours to about 12 minutes by leading its migration from SAS to a cloud big data stack.
• Built fraud-processing jobs for a major bank with PySpark on Cloudera.
• Developed sales-forecasting pipelines covering preprocessing, training and inference for a global electronics company.
• Gave AI strategy consulting to retail and banking clients.
• Led the technical direction of data projects as Tech Lead.

An industrial automation integration project for a global IT services company, built around Wonderware SCADA systems. She developed tools that automated updates to SCADA variable names and objects from Excel source lists using C#, SQL and an NLP-based approach. This replaced manual configuration work in industrial control systems.

• Developed Wonderware SCADA API integrations with C# (GRAccess).
• Built an NLP-based approach to automate variable-name updates and object changes from Excel source lists.
• Integrated SCADA systems with SQL databases.
• Configured and supported Wonderware SCADA environments.