Begad T.

AI Engineer | Robotics & Intelligent Systems Specialist | Full-Stack Innovator I hold a B.Sc. in Artificial Intelligence (Robotics & Intelligent Systems major) with consistent placement on the Dean’s List (GPA 3.6/4.0). My expertise combines deep AI knowledge with practical implementation in robotics, intelligent systems, and scalable software. Core Competencies: • AI/ML: Machine Learning, Deep Learning, NLP, Reinforcement Learning, Computer Vision • Programming: Python, C/C++, SQL, Dart • Frameworks & Tools: TensorFlow, PyTorch, ROS/ROS2, LangChain, FastAPI, Docker, AWS, GCP • Specialization: AI system design, RAG chatbots, robotics automation, smart home systems Key Projects: • Graduation Project (B.E.M.O.) – Developed an intelligent desk assistant robot using Python, LangChain, Gemini LLM, OpenCV, and FastAPI. • Quadruped Robot “Doggy” – Implemented reinforcement learning for autonomous navigation and adaptation. • RAG-based AI Chatbots – Built multimodal and company-specific retrieval-augmented generation systems using PostgreSQL, Faiss, and LangChain. • ICPC/ACPC SysOps Team – Deployed NLP models on cloud infrastructure to optimize contest management and real-time data processing. Recognition: • National scholarship recipient in Generative AI (DEPI, MCIT). • AI Engineer Intern at eSpace, developing production-ready RAG chatbots. I excel at bridging research and production—delivering AI solutions that are innovative, efficient, and scalable.