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.
Arbejdsområde:
IT - Software
Periode:
-
nu
Mine kompetencer
Evner
awsci/cddockergcpgitgojavajavascriptmongodbnode.jspostgresqlpythonreactspring bootsqltypescriptvector db
Hjælper os med at drifte websitet, så grundlæggende funktioner som navigation og login fungerer som forventet.
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Sessionstyring og login
Sikkerhed og misbrugsbeskyttelse
Huske dine valg og præferencer
Statistik
Hjælper os med at forstå hvordan websitet bruges for at forbedre indhold, funktioner og den samlede oplevelse. Statistikker anvendes kun samlet/anonymt.
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Besøgsstatistik og sidevisninger
Populære funktioner og indhold
Teknisk performance
Marketing
Hjælper os med at vurdere, om vi når de rette målgrupper med vores indhold samt vise indlejret indhold fra tredjepart, fx videoer og opslag fra sociale medier.
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