Senior Data Scientist specializing in conversational AI and scalable LLM architectures for enterprise solutions.

• Designed and deployed conversational AI systems using OpenAI, RAG, text-to-SQL, and agent-based architectures.
• Collaborated with clients to define technical requirements and deliver tailored AI solutions.
• Developed system architecture and integrations for complex, scalable infrastructures.
• Enhanced core products with advanced AI capabilities and innovative features.
• Benchmarked chatbot applications to optimize performance and maintain a competitive edge.
• Supported the team on AI, NLP, and other technical matters, fostering collaboration and innovation.

Led NLP Research and Development for a healthcare-focused chat assistant, prioritizing ethical AI and user-centric design.

• Led the NLP R&D for a healthcare chat assistant, Catherine, enhancing caregiver support through sophisticated NLP and deep learning techniques.
• Managed the LLM team, ensuring timely delivery and high-quality project outcomes.
• Collaborated with the healthcare insights team to tailor responses for accuracy, empathy, and business-related metrics.
• Championed advanced NLP and machine learning implementations for natural caregiver interactions, focusing on context building and LLMOps.
• Prioritized ethical AI, user privacy, and inclusivity throughout the chat assistant’s development.

Developed information retrieval and natural language generation tools for the innovation and sustainability sector.

• Developed IR and NLG tools for the innovation and sustainability industry.
• Improved system efficiency and data management to generate actionable insights.
• Collaborated with cross-functional teams to ensure successful product development and launch.
• Conducted experiments, analyzed results and reported findings to stakeholders.
• Stayed up-to-date with latest industry trends and technologies to drive innovation.

Researcher in the Petal Maps project focused on optimizing information retrieval and prototyping map search features.

• Optimized information retrieval results in map search using traditional and state-of-the-art machine learning solutions.
• Conducted literature reviews related to ongoing product challenges.
• Assisted Senior and Principal fellows to analyze data and solve problems.
• Participated in the initial prototype phase of new features and developed evaluation process tooling.
• Took part in local and global field-specific conferences.
• Collaborated with team members to overcome technical or methodological problems.

Data Engineer managing big-data pipelines and ETL optimization for large-scale retail SaaS solutions.

• Managed data engineering for SaaS leading optimization solutions for major retailers following Agile/Scrum.
• Improved tools for common use in a backward-compatible way.
• Provided support for data transfer between big-data pipeline modules using Apache Airflow.
• Acted as a communicating bridge between software teams.
• Optimized ETL processes to improve data ingestion and transformation efficiency.
• Implemented data validation, monitoring, and alerting systems to ensure data quality.
• Participated in major PIPs and features discussions corporate-wise.

Software Engineer focused on API infrastructure, CI/CD pipelines, and business requirement implementation.

• Built infrastructure, toolset, and deployment pipeline to support API development.
• Embedded with other technical teams to support learning of API development and maintenance.
• Worked directly with the business to implement features and understand use cases.
• Guaranteed service’s continuous deployment ability through a continuous integration workflow.
• Contributed to the functional definition of customer requirements.
• Improved existing scripts and suggested improvements for back-end applications.
• Communicated with key decision-makers within the company on a daily basis.
• Wrote clean and maintainable code.

Software Engineer responsible for the design, development, and maintenance of robust software solutions and client consulting.

• Worked closely with team members to plan, design, and develop robust solutions timely.
• Modified existing software to correct errors, upgrade user interfaces and improve performance.
• Wrote and maintained extensible code.
• Consulted weekly with customers on project status, proposals, and technical issues.