Amram Thimothi

Focused on applied computer vision and practical AI: Amram has built end-to-end CV/ML pipelines (element detection with YOLOv8, OCR with Tesseract, QR and checksum validation) specifically to detect document fraud, demonstrating hands-on system design from data augmentation to deployment. linkedin+1

Experience with production-oriented tooling and deployment: the projects mention Flask web interfaces and Firebase Firestore for data handling, indicating familiarity with building user-facing demos and storing results for real-world workflows. linkedin+1

Student and intern trajectory: Amram is a Computer Science undergraduate at Andhra University College of Engineering (2023–2027) who has taken part in internship programs such as Infosys Springboard and upskilling bootcamps referenced on his profile. scribd

Engages with the data science community: maintains a Kaggle profile (amramkona), which suggests ongoing practice and participation in ML/data projects outside formal coursework. kaggle