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Shaik Zunera

@shaikzunera

Computer Science student and Google Student Ambassador building AI-powered conversational systems with Python, FastAPI, and Twilio.

India

Message

At Google, I conduct technical sessions and product demonstrations on Google technologies, and share resources on Google AI and developer tools to support peer learning.

During my AI & ML Virtual Internship at Infosys Springboard, I built an AI-powered Conversational IVR Modernization Framework using Python, FastAPI, Twilio, and REST APIs, with voice-based intents for automated customer interactions.

My projects include an IVR system for railway services, an ML-based crop recommendation engine, and a smart traffic management system. I’ve also completed 200+ LeetCode problems and earned a 3rd Prize at STEM Expo.

Experience

Work history, roles, and key accomplishments

Current

Google Student Ambassador

Current

Google

May 2026 - Present (6 months)

Conducted technical sessions and product demonstrations on Google technologies, engaging over 10 students. Created and shared technical resources on Google AI and developer tools to support peer learning.

Google AI Developer Tools Technical Outreach Communication Skills

AI & ML Virtual Intern

Infosys Springboard

Feb 2026 - Apr 2026 (2 months)

Completed project-based training in Machine Learning, Natural Language Processing, and Conversational AI. Built an AI-powered Conversational IVR Modernization Framework using Python, FastAPI, Twilio, and REST APIs.

Python fastAPI Twilio REST APIs HTML CSS JavaScript Machine Learning NLP Conversational AI

AI & ML Virtual Intern

AICTE

Oct 2024 - Dec 2024 (2 months)

Implemented Python-based Machine Learning workflows covering data preprocessing, model training, and evaluation. Analyzed research papers on AI/ML applications in customer service.

Python NumPy Pandas scikit learn Machine Learning Research