Raja Hassan
@rajahassan
Generative AI Engineer passionate about innovative AI solutions.
What I'm looking for
As a Generative AI Engineer, I have hands-on experience in building LLM-powered applications utilizing LangChain, Hugging Face, and Retrieval-Augmented Generation (RAG). My passion lies in developing and deploying intelligent systems that facilitate text, image, and video generation, enabling innovative solutions to real-world challenges.
During my academic journey at The University of Faisalabad, I have honed my skills in Machine Learning, Deep Learning, and Natural Language Processing, among other relevant courses. I have successfully engineered projects such as an AI-powered portable ECG monitoring system, which leverages on-device machine learning to enhance healthcare accessibility. My commitment to applying cutting-edge AI tools drives my ambition to solve complex problems efficiently and at scale.
Experience
Work history, roles, and key accomplishments
Applied Generative AI
The University of Faisalabad
Sep 2021 - Present (4 years)
Gained hands-on experience building AI-powered applications using LangChain, Hugging Face Transformers, and vector databases like FAISS. Developed end-to-end GenAI projects including AI chatbots, document Q&A systems, and image generation workflows.
ECG SPECTRUM
The University of Faisalabad
Sep 2021 - Present (4 years)
Developed a project aimed at enabling low-cost, real-time heart monitoring using ECG sensors and AI-powered mobile applications for early arrhythmia detection. Researched and implemented signal processing techniques and on-device machine learning (TensorFlow Lite) to classify ECG patterns efficiently using a custom CNN model.
Applied Generative AI with LangChain and Hugging Face
The University of Faisalabad
Gained hands-on experience building AI-powered applications using LangChain, Hugging Face Transformers, and vector databases like FAISS. Developed end-to-end GenAI projects including AI chatbots, document Q&A systems, and image generation workflows.
ECG SPECTRUM – AI-Powered Portable ECG Monitoring System
The University of Faisalabad
Developed a project aimed at enabling low-cost, real-time heart monitoring using ECG sensors and AI-powered mobile applications for early arrhythmia detection. Researched and implemented signal processing techniques and on-device machine learning (TensorFlow Lite) to classify ECG patterns efficiently using a custom CNN model.
Education
Degrees, certifications, and relevant coursework
THE UNIVERSITY OF FAISALABAD
Bachelor in Artificial Intelligence, Artificial Intelligence
2021 -
Activities and societies: Relevant Course: Machine Learning, Deep Learning, Natural Language Processing(NLP), Internet of Things (IoT), Human-Computer Interaction, Database, Programming for AI, Data Structure And Algorithms, Database Systems, Design And Analysis Of Algorithms
Studied core concepts in Artificial Intelligence including Machine Learning, Deep Learning, and Natural Language Processing. Gained proficiency in programming for AI, data structures, and algorithms, alongside database systems and design analysis.
The University of Faisalabad
Bachelor, Artificial Intelligence
2021 - 2025
Activities and societies: Relevant courses included Machine Learning, Deep Learning, Natural Language Processing (NLP), Internet of Things (IoT), Human-Computer Interaction, Database, Programming for AI, Data Structure And Algorithms, Database Systems, Design And Analysis Of Algorithms.
Studied Artificial Intelligence at The University of Faisalabad from 2021 to 2025. Focused on Machine Learning, Deep Learning, Natural Language Processing (NLP), and Internet of Things (IoT). Gained expertise in programming for AI, data structures, algorithms, and database systems.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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