Software Engineering graduate currently pursuing Master's in Computer Science, combining strong theoretical foundation with analytical skills and eagerness to apply technical knowledge. Seeking an entry-level position to demonstrate quick learning abilities and grow while contributing to the team.
Master's Thesis: Head Orientation Detection Using Deep Learning
· Developed novel deep learning approach for detecting head orientation without facial features
· Created overhead view dataset for head orientation detection
· Engineered privacy-preserving solution for Nordic circadian lighting research initiative.
Bachelor’s Thesis: Smart and Trustworthy E-Advertisement through IOT
Developed personalized advertising platform integrating social media, RFID, and digital signage
· Engineered trust-based recommendation algorithm with 60% improved engagement
· Built Android application with real-time personalization using Facebook API and received validation and purchase interest from international retail companies