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shirinrafia_23

Shirin Rafia

@shirinrafia_23

Software Developer

Emirati Arabi Uniti
Inglese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
2+ years onboarding healthcare tech clients, running product demos, and translating technical requirements into working solutions — with measurable gains in turnaround time and delivery quality. Skilled in troubleshooting across AWS, GCP, and Azure, with working knowledge of DICOM, HIPAA, and AI/ML tools (TensorFlow, OpenCV, YOLO). I bridge technical teams and non-technical clients smoothly. UAE-based, working globally across time zones. Need onboarding, demos, support, or solutions consulting done right? Let's talk about your project.... Continua a leggere

Competenze

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shirinrafia_23
Shirin Rafia
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Siti Web e software IA
I will build a custom django web application
A partire da20 USD / progettoMaggiori dettagli
visione artificiale
I will do dicom image processing
A partire da90 USD / progettoMaggiori dettagli

Portfolio

Esperienza lavorativa

bumi_and ashe

Software developer

bumi and ashe • Full time

May 2022 - Jan 2024 • 1 yr 8 mos

Served as primary client-facing point of contact for a healthcare imaging client's brain tumor detection initiative, translating clinical and compliance requirements into DICOM processing workflows — including patient data encryption/decryption and secure migration into containerized (Docker) environments. ● Built Python automation for DICOM anonymization and export, cutting client-facing deliverable turnaround time and reducing manual processing steps by an estimated 40%. ● Ran product demos, onboarding sessions, and technical training for healthcare clients, maintaining a 100% on-time onboarding delivery record across assigned accounts. ● Managed cloud-based healthcare applications across AWS, GCP, and Azure (S3, CloudWatch, CloudTrail, GCS, Blob Storage), supporting storage, monitoring, and application uptime for client-facing systems. ● Partnered with a global client to define annotation standards for invoice-level data and built Python filtering pipelines that consistently met delivery and quality SLAs. ● Investigated production issues alongside engineering, identifying root causes and contributing fixes that improved application stability for end clients; wrote unit tests and validated annotation quality. ● Developed CNN-based classification, YOLO detection, and segmentation workflows (Python, TensorFlow, Keras, OpenCV, Ultralytics YOLO, Transformers) supporting ML-based medical image analysis