LINGALA RAGHAVENDRA REDDY

AI/ML Engineer pursuing a Master’s at George Mason University with 3+ years of experience in application development, and AI-driven solution building. Skilled in developing machine learning and deep learning models using Python, TensorFlow, and PyTorch. Experienced in NLP, computer vision, and building end-to-end ML applications that solve real-world problems

• AI Internship – IIIT Hyderabad (IBM Smartbridge)
  Artificial Intelligence with Python & IBM Watson
• Microsoft Certified Azure AI Fundamentals
• Microsoft Azure Fundamentals
• Machine Learning Algorithms: Supervised Learning Tip to Tail
• AI For Everyone
• Building Smart Business Assistants with IBM Watson

Gender Detection Application using CNNs

Developed a deep learning application that predicts a person’s gender from facial images using Convolutional Neural Networks (CNNs) in Python. Built and preprocessed the dataset, trained a custom CNN model for image classification, and optimized accuracy through augmentation and hyperparameter tuning. Implemented a user-friendly interface to upload images and obtain real-time predictions.

Task-Oriented Dialogue Generation System for Intelligent NPC Agents

Developed a persona-aware conversational AI system for the CPDC 2025 challenge, integrating LLaMA models through the GROQ API to generate context-grounded, role-consistent NPC dialogue. Built a custom persona-grounded function-calling dataset and implemented structured prompting strategies to improve function-call accuracy, reasoning, and persona fidelity. Designed a Streamlit-based interface that simulates real-time NPC interactions, while incorporating an evaluation pipeline to measure function correctness, argument accuracy, and rule compliance. Contributed to dataset creation, algorithm evaluation, error analysis, and system improvements for persona consistency and action-aware dialogue generation.

Secured Runner up position at the Hackathon organized by Smartbridge held at IIIT, Hyderabad in the year 2019.