Harsha Tejas

Coordinated weekly events, managing gameplay and ensuring smooth operations for 100-150 attendees, enhancing multitasking and communication skills.

As an LLM Trainer, I create diverse datasets for training LLM models in Computer Vision, ensuring data accuracy and relevance to optimize model performance.

Designed an AI-powered inventory management system and a drone surveillance system, utilizing image processing and deep learning for real-time object recognition.

Developed Python scrapers to extract product information and material specifications for 3D printers, enhancing data accessibility for over 4000 materials.

Contributed to deep learning projects including truck counting and red light jumping detection, gaining experience in commercial project development.

Grade: 88.9%

Pursued a Bachelor of Technology in Computer Science Engineering with a focus on Artificial Intelligence and Machine Learning. Achieved a high score of 88.9%, demonstrating strong academic performance and a solid understanding of core computer science principles.

Grade: 82.33%

Completed Pre-University Course with a focus on Science, achieving a score of 82.33%. This program provided a strong foundation in scientific principles and analytical skills necessary for advanced studies in engineering.