Amulya Tiwari

Spider Web: Evaluated complex AI-generated responses for accuracy, and safety, providing rationales that directly improved model quality and reliability.
• Dibble: Compared and scored multiple AI responses to identify the highest-value recommendations, ensuring outputs were factually sound, instruction aligned, and practically useful for end users.

Contributed to over 10 major product releases for global clients in the wealth management sector. Collaborated with cross-functional teams to execute end-to-end test cases, improving release quality and reducing post-deployment defects.

Worked on a medical image segmentation project involving over 1,000 multimodal MRI and CT scans. Integrated imaging data with clinical text notes to enhance model robustness, improving segmentation performance by approximately 10%.

Worked on a computer vision project, collecting and annotating over 5,000 image samples to train an object detection model. Built a YOLO-based model that achieved approximately 70% accuracy in detecting objects across multiple classes.

Grade: 8.56/10

Activities and societies: Managed various strategic events at prestigious colleges like IITD and IIMA, etc. Represented DTU at MoodI, IITB as a member of Madhurima, music club of DTU. Managed and participated in financial events being a part of Assets, finance club of DTU. Ex-Events head at the Indian Game Theory Society (IGTS-DTU). Performance testing team lead.

Pursued a Bachelor of Technology degree. Focused on core computer science principles and engineering applications.

Grade: 94.6%

Completed secondary education. Developed foundational academic skills.

Grade: 90.5%

Completed senior secondary education. Studied a broad curriculum preparing for higher studies.