Waniya Badar

I am a computer science undergraduate specializing in AI and cloud engineering, with hands-on experience building LLM-powered assistants and automation pipelines while maintaining a 3.75 GPA and making the Dean's List. I enjoy turning research and prototypes into reliable, production-ready tools.

As an AI intern, I built client-specific voice automation systems using OpenAI APIs, LangChain, and n8n that reduced manual operations by 40%. I also developed retrieval-augmented generation pipelines with vector embeddings and NLP preprocessing that improved chatbot relevance and contextual accuracy by over 30%.

I have shipped projects including a real-time AI assistant integrating Google’s real-time LLM and LiveKit that automated scheduling, web search, and email delivery—cutting daily manual overhead by 70% and sustaining 99.9% uptime. In a computer vision project I integrated YOLOv8 with ByteTrack and perspective transformation to track vehicles at 30+ FPS with 92% accuracy and reduce false positives by 35%.

I lead cloud-focused student initiatives, provisioning AWS EC2, S3, and Lambda labs for hands-on workshops and hackathons, and I am seeking opportunities to contribute to impactful AI and cloud teams where I can continue learning and delivering measurable results.