
Fullstack-kehittäjä
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Tran työskenteli eri toimialoilla, kuten autoteollisuudessa, kunnossa ja petosten havaitsemisessa, sopeutumalla nopeasti erilaisiin hankevaatimuksiin. Hänen työnsä Proxify ansaitsi hänelle täydellisen 10/10 luokitus, heijastaa hänen tekninen huippuosaamista ja ammattitaitoa.
Yhdistämällä syvän erikoistumisen ja monipuoliset taidot Tran tuo jatkuvasti lisäarvoa kehitystiimeille ja monitahoisille projekteille.

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.
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