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Fllanza AvdFA
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Fllanza Avd

@fllanzaavd

Deputy CTO at Vianova AI, bringing AI features to a care management platform that cut care-team operational overhead by 35%.

Kosovo
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What I'm looking for

I’m looking to shape products from problem discovery through release, working closely with users and clinical teams while helping engineering teams deliver useful, AI-enabled digital health products.

At Vianova AI, I own the roadmap and backlog for a care management platform serving US practices. I work with clients and clinicians to define needs, shape features, and take them through delivery and launch.

I deployed ML and predictive-analytics features that cut care-team operational overhead by 35%, and led AI features that generate clinical handover notes from EMR data with quality scoring. I also delivered Athena and eClinicalWorks EHR integrations using FHIR.

As Deputy CTO, I lead engineering, QA, design and project management, and have helped junior team members grow from intern level into key roles. I also teach Python Programming, Software Engineering and Project Management at Riinvest College, bringing AI tools and industry cases into the curriculum.

Experience

Work history, roles, and key accomplishments

ZS

Software Developer

Zombie Soup

Oct 2016 - Jun 2019 (2 years 8 months)

Built and shipped Android applications for enterprise clients and led performance audits and remediation.

Education

Degrees, certifications, and relevant coursework

US

U.S. Department of State

YTILI Fellow, Innovation Leadership

2025 - 2025

Selected as a YTILI Fellow 2025 under the Young Transatlantic Innovation Leaders Initiative.

UP

UBT Prishtina

Bachelor of Science, Computer Science and Engineering

BSc in Computer Science and Engineering with a focus on Software Development.

UP

UBT Prishtina

Master of Science, Computer Science and Engineering

MSc in Computer Science and Engineering with a focus on Data Science, including a thesis on brain tumor detection with deep learning.

Stanford Online logoSO

Stanford Online

Machine Learning, Machine Learning

Completed a Machine Learning course through Stanford Online.

Tech stack

Software and tools used professionally

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