Narvik Aghamalian
Hi, I’m Narvik Aghamalian, a data scientist and machine learning engineer with 4+ years building AI/ML solutions and over a decade in software development.
About
Hi, I’m Narvik Aghamalian, a data scientist and machine learning engineer with 4+ years building AI/ML solutions and over a decade in software development. I specialize in Generative AI, large language models, computer vision, and AI-powered application development. I’m proficient in Python and PyTorch, and I’ve worked with AWS and GCP to deploy scalable AI systems. I enjoy turning complex business problems into well-documented, reliable software that users love.
My recent work includes leading GenAI platform development at Paysera, building enterprise chatbots and AI assistants connected to multiple data sources, designing multilingual voice chat interfaces, and delivering real-time data processing pipelines. I’m passionate about clean architecture, collaboration, and continuously learning new techniques to help teams ship impactful AI solutions.
- 18 years' experience
- Joined September 2025
Skills· 35
Languages
- EnglishFluent
- ArmenianFluent
- PersianAdvanced
Industry experience
- Software & Internet
- Financial Services
- Healthcare
- Professional Services
- Media & Entertainment
- Education
- Computers & Electronics
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Work experience· 68 roles
Developed a healthcare industry chatbot using LLMs and agents, with ETL pipelines to extract big data from insurance records and convert into structured data for model training; built voice subscriber and summarizer utilities; EEG-to-ChatGPT prototype; designed and developed AI-driven cell therapy application.
Developed a healthcare industry chatbot using LLMs and Agents with ETL pipelines to extract big data from insurance records and convert to structured data for model training; built a voice subscriber and summarizer using LLMs with FastAPI/async; explored EEG-to-chatbot integration and AI-driven cell therapy application design.
Developed a healthcare industry chatbot using LLMs and agents, with ETL pipelines to extract big data from insurance records and convert it into structured data for model training, leveraging AWS S3, Glue, and Athena. Built a voice subscriber and summarizer with LLMs and FastAPI, and explored EEG-to-chatbot integration and AI-driven cell therapy applications.
Education· 75
Certifications and awards· 63
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