Lavena D'Mello

With over 10 years of experience in software engineering, I have developed a strong foundation in designing, developing, and delivering innovative solutions that transform ideas into operational systems. I am now looking to advance my career as an AI Engineer, building on my technical experience and expanding my expertise in Artificial Intelligence, Machine Learning, and Large Language Models (LLMs). I am passionate about how AI is transforming the way software is designed and developed, and I am motivated to apply emerging technologies to solve complex problems, improve operational efficiency, and create measurable value.

I am an innovative, adaptable, and continuous learner who enjoys exploring new technologies and finding better ways to solve problems. My experience in software development, data preparation and transformation, combined with my growing expertise in AI, enables me to approach AI solutions from both a technical and practical perspective. I am committed to developing my skills further and contributing to the design and implementation of responsible, scalable, and effective AI solutions that support organisational goals and deliver meaningful outcomes.

Senior Developer & Team Leader at Trinity Claims (2020-11 – 2025-03)

• Developed CI/CD pipelines and maintained monitoring systems using logs and cloud-based tools, ensuring continuous reliability and operational performance
• Built efficient, enterprise-ready solutions using React and Python
• Architected agent AI workflows leveraging LLMs to automate complex business functions, improving efficiency and accuracy of policy management processes
• Engineered RAG (retrieval-augmented generation) agents using proprietary company data sources, enhancing knowledge retrieval whilst protecting sensitive information and supporting secure access patterns
• Integrated external and internal APIs to enable reliable data exchange and automated decision-making across systems, supporting end-to-end workflow orchestration
• Built CI/CD pipelines and monitoring using logs and cloud tooling, containerising and deploying systems to cloud to support scalable, reliable operations

Consultant at Data2Decisions (2020-06 – 2020-11)

• Extracted, cleaned, and transformed data from multiple sources, preparing it for Marketing Mix Modelling and advanced analytics. Developed Python scripts for the ETL process
• Displayed the data using plots and charts to the end clients
• Used Tableau to create intuitive dashboards that empowered end-users to make informed business decisions
• Configured MLOps workflows using MLflow and migrated models to AWS SageMaker, establishing scalable, production-ready machine learning infrastructure
• Implemented FastAPI endpoints to serve model outputs to front-end applications, delivering real-time insights for marketing decision-making
• Delivered a greenfield cloud-based solution leveraging the React and Django, providing a fully operational, enterprise-ready solution used by multiple clients

Senior Developer at Data2Decisions (2018-02 – 2019-11)

• Developed web applications for model input, visualisation, and reporting, improving stakeholder accessibility and decision-making
• Collaborated with data scientists to convert Python notebooks into version-controlled scripts, ensuring reproducibility and seamless model deployment
• Engineered APIs to extract, clean, and transform data from internal and external sources, supporting accurate analytics and model integration
• Modernised Excel-based machine learning workflows into scalable microservices, increasing processing efficiency and maintainability
• Designed user interfaces to display experiment outcomes in tables and charts, enabling automated report generation and client-ready deliverables
• Reduced processing times by 30% through optimised workflow integration and system automation

Team Leader at Electrical Contractors' Association (2014-04 – 2018-02)

This system was build using ASP.NET and C#

• Led daily scrum meetings and managed DevOps task boards, ensuring on-time delivery of high-quality software projects
• Monitored code coverage and quality metrics, driving accountability and consistent adherence to software development standards
• Mentored developers on coding best practices, design patterns, and maintainable architecture, elevating team technical competency
• Enforced clean code standards, design patterns, and industry best practices across the team, increasing maintainability and reducing technical debt
• Implemented CI/CD pipelines, automating deployment to production and testing environments, improving release efficiency and reliability

Senior Developer and Team Leader at UK Debt Management Office (2007-07 – 2014-03)

• Led a development team in maintaining core financial systems, enforcing coding standards, and ensuring production stability
• Developed custom reporting solutions using Crystal Reports and Oracle PL/SQL, providing actionable insights for financial and operational decision-making
• Reengineered the DMOPYC Yield Calculator from a VB DLL to a REST-based service, improving accessibility, reducing deployment time, and simplifying troubleshooting
• Maintained and enhanced the Electronic Auction System, facilitating multi-million-pound securities auctions on schedule and with high reliability
• Optimised workflows/system architecture, increasing performance, maintainability, and overall system efficiency

Senior Programmer at National Stock Exchange IT, India (2004-05 – 2007-05)

• Worked on building back-office applications using Visual Basic 6.0, SQL Server 2000, and ASP.NET (Web Forms)
• Reviewed code, impact analysis and unit test cases, programming and front-end designing
• Optimised the code, performance and tunings, and undertook requirement gathering
• Completed enhancements to the projects

MCA in Computer Applications – Mumbai University, India

Azure AI Engineer Associate in AI Fundamentals – Azure

AWS Certified Developer in AWS SageMaker – AWS

Professional Course in Machine Learning, Application Development and Data Science – HarvardX