Taher Ezzi

About Taher Ezzi

I am Taher Ezzi, a technology enthusiast with a B.Tech in Computer Science Engineering (AI & ML specialization) from Hindustan Institute of Technology and Science, graduating with a CGPA of 8.6. My journey has been shaped by a strong interest in applying technology to solve real-world problems with efficiency and impact. At Qurve.ai, I focused on the testing and evaluation of large language models (LLMs), analyzing their performance using metrics-driven methods and suggesting improvements to enhance accuracy and reliability. This role sharpened my analytical mindset and gave me hands-on exposure to cutting-edge AI systems. During my time at Ashara Chennai, I designed and built a mobile application that enabled the audio-video teams to monitor the live status of all viewers during streams. The app also included an SOS feature that instantly notified the head office whenever technical issues arose, ensuring smooth and uninterrupted viewing experiences for participants across locations. Beyond these, I have built projects that reflect my interest in AI, automation, and usability. Some highlights include: an NLP-based sentiment analyzer that processed Amazon reviews with 85% accuracy, ALLERGEN’T, a Flutter app that allowed users to detect allergens from food labels 95% faster, and an IoT Odor Detection System that improved hygiene response times by 95% through automated sensor alerts. What excites me most is leveraging a mix of AI, data-driven insights, and application development to create solutions that directly benefit users. I enjoy blending technical depth with creativity to build systems that are both practical and impactful. Looking ahead, I want to explore opportunities where I can design intelligent applications, experiment with AI systems, and contribute to innovation that improves how people interact with technology. Feel free to connect with me here on LinkedIn or reach out directly at t••••••••@gmail.com. I’m always open to collaborations, discussions, and opportunities around AI, applied technology, and real-world problem solving.

Experience

1. Software Engineer

   Qurve AI

   Dec 2024 — Present · IN

   At Qurve.ai, I focused on the testing and evaluation of large language models (LLMs), analyzing their performance using metrics-driven methods and suggesting improvements to enhance accuracy and reliability. This role sharpened my analytical mindset and gave me hands-on exposure to cutting-edge AI systems. and automated data pipelines with Playwright and Crawl4AI, improving efficiency by 70%

Education

• Hindustan Institute of Technology and Science

  Bachelor of Technology - BTech

  2021 — 2026