MSc student in Computer Science and Engineering at DTU and a Software Engineer with 2 years of professional
experience. My focus lies in scalable backend architectures, LLM integration and web development, supported by versatile
capabilities across various technologies and experience through the full software development lifecycle.
Collaborated within an agile team to develop and enhance microservices for digital payment solutions, utilizing Java and Spring Boot for core services. Enhanced services configuration and maintainability using REST APIs and property databases.
Designed and implemented a RAG system in Python (MongoDB, Ollama) for documentation retrieval and integrated GCP services to automate data extraction from invoices.
Developed a chatbot interface that processes natural language queries, automatically generates structured database prompts and filters both inputs and outputs for accurate data retrieval and responses.
Worked on the development and evaluation of unsupervised Machine Learning algorithms for anomaly detection in financial transactions, focusing on identifying unusual transaction patterns.
Responsible for data preprocessing, feature selection, model optimization and performance evaluation through metrics and visualization.
Implemented an API to provide anomaly scoring for incoming transactions, integrating it with a relational database for data management.
Work area:
IT - Software
Period:
juli 2024
-
oktober 2024
My skills and abilities
Skills
awsci/cddockergcpgitgojavajavascriptmongodbnode.jspostgresqlpythonreactspring bootsqltypescriptvector db
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