David Aghajanyan
Intern, Ai & Future Business Fields @Porsche Engineering
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WORK HISTORY
Intern, Ai & Future Business Fields @Porsche Engineering
Supporting ML/AI prototyping efforts: build and test quick-turn proof-of-concept models (e.g, predictive maintenance, driver-assistant features, generative-AI interfaces). Support conducting automotive pre-series testing operations, focusing on new technologies and features- Assisting with data-pipeline development & validation for in-vehicle or cloud-based datasets (ingestion, cleaning, feature engineering, monitoring). Maintain and assist with cross-section upgrades of the test fleets- Conducting business-case scouting: benchmark emerging AI applications, assess market potential, and prepare concise opportunity briefs for leadership- Helping craft internal dashboards, KPIs, and reports to track experiment outcomes and knowledge transfer- Participating in cross-functional workshops, giving input on feasibility, timelines, and resource needs- Contributing to hardware-to-AI connectivity tests (CAN, Ethernet, sensors, edge devices) to verify end-to-end data flow from the vehicle to AI services.Support Department Management and Project Lead creating reports- Creating KPI summaries of monitored and executed activities
EDUCATION
California Polytechnic State University-San Luis Obispo
Physics B.S, Entrepreneurship Minor
ABOUT DAVID AGHAJANYAN
Currently pursuing higher education at California Polytechnic State University, studying Physics and Entrepreneurship. Taking the time to continue current passions, find new interests, expand networks, and explore new opportunities.
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