SAIBHAVITHA REDDY PAIMAGHAM

I hold a Master's in Computer Science from Northern Arizona University with 3+ years of industry experience in machine learning and AI. Proven track record of developing scalable, production-ready ML solutions across insurance, education, and healthcare. Passionate about designing efficient, real-world AI systems using LLMs, computer vision, NLP, and robust MLOps practices.

• Fundamentals of Agents, Hugging Face Agents Course
• Supervised Machine Learning: Regression and Classification, Coursera
• Generative AI Fundamentals, Databrick

Offline AI Chatbot for Rural Education

LLM | RAG | Streamlit | FAISS | LangChain | Whisper | Local Deployment

Built an offline chatbot enabling textbook-based Q&A for students in low-connectivity areas. Used FAISS for vector search, PyMuPDF for PDF parsing, and deployed Llama/Gemma models locally, with future Whisper integration for voice-based queries.

Sentiment Analysis for Customer Product Reviews using Deep Learning and LLM

Text Classification | CNN | RNN | LLMs | NLP

Created a sentiment analysis pipeline that combines CNNs and RNNs with transformer-based language models for robust classification of customer feedback.

Movie Recommender System

PCA | Genetic Algorithm | LLMRec

Engineered a hybrid recommendation system integrating dimensionality reduction and evolutionary optimization with a language model recommender (LLMRec) for enhanced personalization.

Automatic Number Plate & Face Recognition

Python | OCR | OpenCV | Azure

Developed a computer vision system for detecting license plates and recognizing faces from surveillance video using OCR and deep learning, deployed on Azure cloud infrastructure.

Satellite Image Analysis and Road Scene Understanding

U-Net | CNN | PyTorch | TensorFlow | Cityscapes | EuroSAT

Performed semantic segmentation on satellite and urban images for land use classification and road scene understanding in autonomous driving scenarios.