
Davit Javadian
@davitjavadian
I build production AI platforms, RAG systems, and machine learning products for healthcare and mobility.
What I'm looking for
At Reapplix, I lead delivery of cloud-native clinical AI platforms that combine EHR, claims, lab, and clinical data for risk analysis and care workflows. I built evidence-grounded RAG and agentic workflows that improved clinical-review efficiency by roughly 30–35%.
Previously at Ford Motor Company, I developed production ML systems for EV fault prediction, vehicle diagnostics, and edge computer vision. My FastAPI diagnostic services supported 10K+ daily requests, while optimized YOLOv7 inference was deployed across 500+ edge devices.
I also built real-time ML, MLOps, and PySpark data platforms at Cognizant, translating business requirements into dependable production solutions. I work across Python, AWS, distributed data systems, LLM applications, and modern software engineering.
Experience
Work history, roles, and key accomplishments
Senior AI Engineer
Reapplix
Dec 2024 - Present (1 year 9 months)
Led a 2-person team in delivering cloud-native clinical AI platforms on AWS, integrating EHR, claims, labs, and clinical data for risk analysis and care workflows. Developed an evidence-grounded retrieval system using RAG with LangChain, embeddings, and pgvector, and orchestrated agentic workflows with LangGraph.
Education
Degrees, certifications, and relevant coursework
University of Southern California
Master of Science, Computer Science
2017 - 2020
Pursued a Master of Science in Computer Science at the University of Southern California from 2017 to 2020.
University of California, Berkeley
Bachelor of Science, Computer Science
2014 - 2016
Completed a Bachelor of Science in Computer Science at the University of California, Berkeley from 2014 to 2016.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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