Waleed Hassan Khan

Waleed Hassan Khan AI Engineer ¯ waleedhassankhan ‡ waleedhassankhan Key Skills • Python • Generative AI • Machine Learning • Reinforcement Learning • AI Chatbot • Deep Learning • Computer Vision • Natural Language Processing • AI Automation • OpenAI API • Prompt Engineering • LLMs Experience • AI and Automation Engineer July 2024 - June 2025 Adology AI Remote ◦ Extracted ads from Google and other platforms using SerpAPI, and from Meta platforms using Apify. ◦ Analyzed ad content (images, videos, text) using OpenAI models and transcribed audio using Whisper. ◦ Designed custom prompts and labels for theme-based ad analysis with support for CSVs, Google Drive, AWS, and direct input. ◦ Mapped ads to the Google Product Taxonomy to uncover category-level trends and emerging creative styles. ◦ Built a flexible ad pipeline enabling automated labeling and multi-source ingestion for branded content analysis. ◦ Integrated NVIDIA chatbot API and developed a RAG system for contextual ad insights. ◦ Developed backend services in Flask to handle API calls, chatbot logic, and content processing workflows. ◦ Prototyped interactive ad performance dashboards using Streamlit, visualizing insights such as ROI, clicks, impressions, reach, and engagement; stored analysis results in AWS S3. • AI Engineer September 2023 - February 2024 Total Recall Remote ◦ Extracted real-time emergency alert data via APIs to enhance chatbot alerting and response capabilities. ◦ Applied NLP techniques to classify alert severity and ensure timely, relevant user notifications. ◦ Built a customer service chatbot using Botpress to improve user engagement and automated support. ◦ Conducted web scraping to gather domain-specific data used in training and improving chatbot accuracy. Education BS Artificial Intelligence Air University Fsc Pre-Engineering • Oxbridge College • September 2020 - June 2024 May 2018 - June 2020 Final Year Project • Developed ’BioGaurd (Your Movement is a Key),a groundbreaking solution for secure user authentication in banking and mobile devices, leveraging behavioral biometrics. Enhanced security and prevented identity theft by analyzing signature patterns and sensordata with Arduino Nano 33 BLE Sensing and deep learning algorithms. This project demonstrates a commitment to innovation and advanced technology Personal Projects and Works • Spearheaded user detection using the iSignDB dataset, showcasing expertise in biometric authentication. Developed a robust model to discern between genuine and fake users, demonstrating advanced image processing skills • Innovated a medical health chatbot using RL, revolutionizing personalized healthcare advice. Leveraged Q Learning to deliver tailored medical recommendations based on user inputs, showcasing cutting-edge AI implementation in healthcare. • Engineered a fall detection system using Arduino, exemplifying proactive safety solutions. Designed a sensor-equipped band to detect falls or accidents, demonstrating a commitment to leveraging technology for social impact. • Implemented a gesture-controlled PowerPoint presentation system, which enabled slide navigation through hand gestures. This project showcased innovative human-computer interaction techniques, demonstrating a blend of creativity and technical skill. • Implemented sentiment analysis on the Stanford Sentiment Treebank using NLTK, scikit-learn, and TensorFlow frameworks. This project showcased proficiency in natural language processing and machine learning, demonstrating the ability to analyze and interpret sentiment from textual data. Awards and Certifications • Neural Networks and Deep Learning An online non-credit course authorized by DeepLearning.AI and offered through Coursera • Data Science Foundations Provided by Great Learning Academy • Mathematics for Machine Learning An online non-credit course authorized by Imperial College London and offered through Coursera Interest • Sports • Animal Welfare and Rescue • Technology