K Pujitha

AI/ML Engineer and recent graduate with 3 internships delivering production-grade computer vision and conversational AI systems. Built multimodal deep learning models, LLM-powered chatbots, and RAG pipelines achieving 85-92% accuracy. Strong hands-on experience in Python, deep learning, and end-to-end AI product development.

AI Annotator Intern at Tao Digital (2026-06 – 2026-08)

• Annotated and labeled datasets to support model training and evaluation, ensuring high accuracy and consistency across annotation batches.
• Followed structured annotation guidelines and quality checks to maintain data integrity for downstream ML pipelines.

AI Intern at Infosys Springboard (2025-12 – 2026-03)

• Built a multi-modal pet emotion detection system using ResNet-18 for facial expression classification and Librosa for audio spectrogram analysis.
• Achieved 85%+ accuracy across 5 emotion categories, enabling real-time veterinary and pet care insights for end users.
• Designed and tested end-to-end ML pipeline from data preprocessing to model deployment, reducing inference errors through iterative evaluation.

AI Developer Intern at VISWAM.AI (2025-05 – 2025-06)

• Built a conversational AI chatbot using Python and Cohere API, handling general-purpose user queries with consistent response quality.
• Reduced AI pipeline build time by 25% by creating reusable prompt components and modularizing chatbot workflows.
• Improved response accuracy by 30% through structured prompt design and systematic output evaluation.

B.Tech in Artificial Intelligence & Machine Learning – CMR Technical Campus (Autonomous) (2026-04)

Diploma in Civil Engineering – Government Polytechnic for Women (2023-04)