02/06/2025 updated
100 % available
Senior Machine Learning Engineer / Backend Engineer
Funchal, Portugal
Worldwide
M.S. in Computer ScienceA/B TestingApplication Programming Interfaces (APIs)Apache AirflowData AnalysisArtificial Neural NetworksC++ (Programming Language)Cluster AnalysisExtract Transform Load (ETL)Data VisualizationElasticsearchGreenplumApache HadoopPython (Programming Language)PostgreSQLMachine Learning
A/B testing, Apache Airflow, Hadoop, Kafka, APIs, neural networks, Backend, C++, clustering algorithm, Data Analysis, data pipeline, Data Visualization, Deep Learning, Docker, Elasticsearch, ETL, FastAPI, Generative AI, Grafana, Greenplum, Computer Science, Kubernetes, LLM, Looker, Machine Learning, Natural Language Processing, PostgreSQL, PySpark, Python, PyTorch, QlikView, system reliability, REST-API, SQL, Tableau
Experience
Professional experience5 - 10 years
Freelancer since2024
Languages
EnglishFluent
Project history
Responsible for the ML-based service:
* Instrumental in refining an ML-based service, expertly redesigning key components to
significantly accelerate time-to-market, showcasing a strong ability to enhance efficiency and
product delivery.
* Identified and resolved critical errors, ensuring the robustness and reliability of the service,
thereby maintaining high standards of operational excellence.
* Instrumental in refining an ML-based service, expertly redesigning key components to
significantly accelerate time-to-market, showcasing a strong ability to enhance efficiency and
product delivery.
* Identified and resolved critical errors, ensuring the robustness and reliability of the service,
thereby maintaining high standards of operational excellence.
* Engineered a voice robot service for call center automation, specializing in both incoming and
outgoing calls. Achieved a breakthrough in outbound call automation, enhancing the system's
capacity from 50 to 50,000 calls per day, a testament to innovation and scalability.
* Led the refactoring of a critical service, transitioning from a synchronous REST-API to an
asynchronous Python gRPC server. This overhaul significantly improved user experience and
nearly doubled the conversion rate, marking a substantial achievement in service optimization.
* Contributed to the development of a dynamic pricing pipeline for offline stores. This initiative
played a pivotal role in boosting profits by 1-2% of the total annual revenue, translating to an
impact on a business generating over $10M in profit annually.
outgoing calls. Achieved a breakthrough in outbound call automation, enhancing the system's
capacity from 50 to 50,000 calls per day, a testament to innovation and scalability.
* Led the refactoring of a critical service, transitioning from a synchronous REST-API to an
asynchronous Python gRPC server. This overhaul significantly improved user experience and
nearly doubled the conversion rate, marking a substantial achievement in service optimization.
* Contributed to the development of a dynamic pricing pipeline for offline stores. This initiative
played a pivotal role in boosting profits by 1-2% of the total annual revenue, translating to an
impact on a business generating over $10M in profit annually.
* Single-handedly developed a real estate appraisal system from scratch, demonstrating a
comprehensive skill set in bringing a concept to a fully operational, production-ready state.
* Subsequently optimized the system, significantly reducing time-to-market from 2 weeks to an
astounding 4 hours, showcasing exceptional proficiency in process improvement.
* Designed and implemented a robust data pipeline, enhancing system performance in terms of
memory usage and processing speed.
* Instituted a rigorous testing protocol, encompassing unit, integration, and metric tests, to ensure
system reliability and accuracy.
Service team
* Implemented a clustering algorithm for analyzing chat interactions between the back office and
clients, effectively identifying bottlenecks in business processes. This technical approach
provided vital insights for process optimization.
* Developed a predictive service to accurately forecast back-office workload, contributing to
improved resource planning and operational efficiency. This innovation was instrumental in
enhancing the management of workflow and service delivery.
comprehensive skill set in bringing a concept to a fully operational, production-ready state.
* Subsequently optimized the system, significantly reducing time-to-market from 2 weeks to an
astounding 4 hours, showcasing exceptional proficiency in process improvement.
* Designed and implemented a robust data pipeline, enhancing system performance in terms of
memory usage and processing speed.
* Instituted a rigorous testing protocol, encompassing unit, integration, and metric tests, to ensure
system reliability and accuracy.
Service team
* Implemented a clustering algorithm for analyzing chat interactions between the back office and
clients, effectively identifying bottlenecks in business processes. This technical approach
provided vital insights for process optimization.
* Developed a predictive service to accurately forecast back-office workload, contributing to
improved resource planning and operational efficiency. This innovation was instrumental in
enhancing the management of workflow and service delivery.