Tran P.

• Bygget og ejet Python-baserede mikrotjenester til Global Flow / TrafFlows-initiativet i Data Science & Engineering teamet.
• Designet dokument ingestion pipelines, lagret rapporter i Amazon S3 og DynamoDB, og injiceret strukturerede referencer i downstream systemer.
• Udviklede backend-tjenester, der understøtter omfattende data-ingestion, -behandling og -analyser, der anvendes af front-office-handelshold.
• Arbejdede i vid udstrækning med AWS tjenester, herunder Lambda, S3, DynamoDB, Lim og Redshift, i en virksomhed cloud miljø.
• Tiltag ejerskab af produktionstjenester, med fokus på pålidelighed, skalerbarhed og vedligeholdelse i et kommercielt miljø med stor effekt.

• Led backend udvikling af en Kotlin + Spring Boot microservice platform, der understøtter en produktions-grade digitalt produkt.
• Designet og implementeret event-drevne arkitekturer ved hjælp af Apache Kafka til interservice kommunikation.
• Bygget og optimeret REST API'er med fokus på skalerbarhed, sikkerhed og holdbar backend arkitektur.
• Bidrag til søgning funktionalitet drevet af Elasticsearch, forbedre data hentning og ydeevne.
• Deployed and operated backend services in cloud environments using Infrastructure as Code (Terraform).
• Serveres som en ledende teknisk reference i holdet, støtte arkitektoniske beslutninger og mentorteammates.

• Gennemgik og analyserede en eksisterende Flutter-kodebase i en indledende onboarding-fase i fuld tid.
• Identificerede spørgsmål vedrørende arkitektur og kodekvalitet og foreslåede forbedringer med henblik på langsigtet vedligeholdelse.
• Overgang til en langsigtet deltidsrolle, støtte ansøgning vedligeholdelse og trinvise forbedringer.
• Bidragede til at stabilisere og udvide en produktion Flutter applikation, der anvendes i virksomhedens miljøer.

• Udviklet en Singaporeansk HR platform.
• Bygget en neurokirurgi AI assistent.
• Oprettet en fast ejendom telefonopkald assistent.
• Udviklet en Shopify-lignende SaaS platform for kunstindustrien.

FRISS is a global provider of AI-powered fraud detection and risk assessment solutions for insurance companies worldwide.

• Developed backend services for insurance fraud detection platforms used by global insurers.

• Implemented and optimized REST APIs using Python, Django, and FastAPI.

• Improved ETL pipelines through asynchronous programming and multiprocessing to handle large datasets efficiently.

• Built internal dashboards and analytics tools to support fraud analysts and operational teams.

• Designed, deployed, and maintained Kubernetes-based microservices in production.

• Implemented CI/CD pipelines and improved overall development workflows and release processes.

• Worked extensively with Kafka, Redis, Elasticsearch, and relational databases to support real-time fraud scoring.

• Collaborated with cross-functional teams in a distributed, international environment.

GeoComply is a global leader in geolocation compliance and fraud prevention solutions for the gaming and online betting industry.

• Built high-traffic geolocation fraud detection systems serving a global customer base.

• Developed backend services using Python, Django, and Flask, with real-time data processing.

• Contributed to frontend development using JavaScript-based frameworks.

• Led a small engineering team, supporting task planning, code reviews, and delivery.

• Designed and managed CI/CD pipelines, improving release reliability and deployment speed.

• Proposed and implemented improvements to software engineering practices across the department.

ETH Zürich is one of Europe’s leading science and technology universities, with a strong focus on advanced research and applied data science.

• Built web applications to support research in social network analysis.

• Implemented systems for network anomaly detection and large-scale graph data analysis.

• Developed automated data scraping and processing pipelines for research datasets.

• Supported researchers by translating analytical requirements into robust software tools.

VAY AG is a healthcare technology company focused on digital fitness and coaching solutions.

• Developed real-time fitness coaching backend services.

• Implemented backend APIs centered around computer vision and deep learning models for exercise error detection.

• Integrated machine learning outputs into real-time application workflows.

• Contributed to frontend application development in a cross-functional team.

Bosch Global Software Technologies is the engineering arm of Bosch, delivering embedded and automotive software solutions worldwide.

• Developed and tested automotive software systems, including Cruise Control and Forward Collision Warning.

• Worked with embedded and safety-critical systems under strict quality standards.

• Reviewed and managed software requirements specifications.

• Recognized with awards for excellent technical contributions to automotive projects.