Tran P.

• Bygget og eide Python-baserte mikrotjenester for initiativet Global Flow / TrafFlows i datavitenskapsteamet.
• Designet dokumentinntaksrørledninger, lagrede rapporter i Amazon S3 og DynamoDB, og injiserte strukturerte referanser til nedstrømssystemer.
• Utvikle backendtjenester som understøtter storskala datainntak, behandling og analyse brukt av handelsteam.
• Jobbet omfattende med AWS-tjenester, inkludert Lambda, S3, DynamoDB, Glue, og Redshift, i et bedriftssky-miljø.
• Ta vare på eierskapet av produksjonstjenestene med fokus på pålitelighet, skalabilitet og vedlikeholdstilpasning i et kommersielt miljø med stor miljøpåvirkning.

• Led backend development of a Kotlin + Spring Boot microservice platform som støtter et volumgradert digitalt produkt.
• Utformede og implementerte arrangementsdrevne arkitekter ved hjelp av Apache Kafka for kommunikasjon mellom tjenester.
• Bygget og optimaliserte REST-APIer med fokus på skalerbarhet, sikkerhet og opprettholdbar bakgrunns-arkitektur.
• Bidra til å søke funksjonalitet drevet av Elasticsearch, forbedre gjenfinning og ytelse.
• Distribuerte og opererte administrasjonstjenester i skytjenester med Infrastruktur som kode (Terraform).
• Servert som en senior teknisk referanse i teamet, i støttekonkurranse og arkitektoniske beslutninger og mentorbaserte lagkamerater.

• Gjennomgikk og analyserte en eksisterende flutter kodebase i en innledende fulltidsonboardingsfase.
• Identifiserte problemstillinger knyttet til arkitektur og kode-kvalitet og forslag til forbedringer for langsiktig vedlikehold.
• Overgang til en langsiktig deltidsrolle, vedlikeholdsstans og trinnvise forbedringer.
• Bidra til å stabilisere og forlenge en sprøytevirksomhet for Flutter som er benyttet i bedriftsmiljøer.

• Utviklet en Singaporas HR-plattform.
• Bygget en nevrokirurgi AI assistant.
• Opprettet en samtaleassistent for eiendom.
• Utviklet en Shopify-lignende SaaS-plattform 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.