Java Developer

SAN0485

About Candidate

This highly skilled and experienced Java Senior Software Developer boasts a 16-year track record of success in developing and delivering robust and scalable applications for diverse clients across various industries, including finance, government, and insurance. With a strong foundation in core Java principles and a proven ability to adapt to new technologies (like Node.js and AngularJS), this individual consistently demonstrates a commitment to delivering high-quality solutions.

Their experience spans a range of roles and responsibilities, from developing Java services and microservices for Swiss entities like the police and postal service at Xplain AG, to building applications with Oracle PL/SQL, Java, and Banksphere at Indra. They have a deep understanding of agile methodologies like Scrum and have successfully contributed to projects for the Spanish Department of Justice and MAPFRE.

Furthermore, their role as a Developer Analyst at GFI provided valuable experience in analyzing and improving existing Java applications, specifically within the insurance domain. This individual’s strong technical skills, coupled with their analytical and problem-solving abilities, make them a valuable asset to any development team.

Proven expertise in core Java, Spring, Hibernate, and front-end technologies. Strong understanding of agile methodologies and a track record of successful project delivery in diverse domains, including finance, government, and insurance. Adept at collaborating effectively within cross-functional teams and delivering high-quality, scalable, and maintainable software solutions.

Skills

Programming: Python, R, C++, GenAI Stack: LangChain, LiteLLM, LangFuse, Qdrant, RAGAS, CrewAI, ML Libraries: PySpark ML, MLFlow, Scikit-learn, NLTK, Pandas, NumPy, RASA NLU, Tools: Jupyter Notebook, Visual Studio, AWS SageMaker, Azure ML Studio, Data: MongoDB, PostgreSQL, Hadoop, PySpark, SQLite, SQLAlchemy, Web Frameworks: Flask, FastAPI, Django, REST API, Big Data Technologies: Hadoop, Spark, Cassandra, Model Deployment: Docker, Kubernetes, AWS, GCP, Azure, Databricks, Other Skills: Data preprocessing, feature engineering, statistical analysis, time-series forecasting, supervised and unsupervised learning, recommendation systems, customer engagement, agile methodologies.

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