Janko Dokovic
@jankodokovic
I build AI-driven healthcare, NLP, computer vision, and recommendation systems that improve accuracy, efficiency, and customer outcomes.
What I'm looking for
I've built and deployed AI-driven healthcare applications at InfoSoft, including medical image analysis for automated radiology anomaly detection and patient-record analysis for personalized treatment plans.
I use NLP, machine learning, and real-time processing to improve customer and healthcare experiences. My work includes sentiment analysis and entity recognition that increased customer satisfaction by 25%, churn prediction that reduced attrition by 10%, and ML pipelines that cut data-processing time by 50%.
At GeekyAnts, I trained models with AWS SageMaker, Python, and AWS Lambda, and delivered NLP recommendation and document-classification solutions for Cisco's code review platform.
Previously at Polcode, I developed e-commerce recommendation engines, reinforcement-learning optimization models, and deep-learning solutions with PyTorch and TensorFlow. I've also led a team of four NLP engineers building a chatbot that reduced customer-service response time by 50%.
Experience
Work history, roles, and key accomplishments
Senior Full Stack Developer
InfoSoft
Feb 2022 - Present (4 years 8 months)
Built and published well-engineered, easy-to-maintain, reliable, and bug-free code for various company applications in collaboration with AI engineers, data scientists, programmers, and business persons. Designed and deployed AI-driven Healthcare application for medical image analysis, enabling automated detection of anomalies in radiology scans and enhancing diagnostic accuracy.
Education
Degrees, certifications, and relevant coursework
Poznan University of Technology
Bachelor's degree, Computer Science
2013 - 2018
Bachelor's degree in Computer Science from Poznan University of Technology, completed in 2018.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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