Hassan Raza
@hassanraza6
Results-driven Machine Learning Engineer specializing in AI and automation.
What I'm looking for
I am a results-driven Machine Learning Engineer with over two years of experience in developing high-accuracy AI models and optimizing AI-driven automation solutions. My expertise spans Deep Learning, Computer Vision, and Natural Language Processing, enabling me to tackle real-world challenges effectively. I have a proven track record of enhancing efficiency through innovative AI technologies, including the development of an AI-powered customer support chatbot that improved response automation by 35%.
My academic background includes a Master's degree in Computer Science from COMSATS University Islamabad, where I focused on AI applications in precision agriculture. I have contributed to impactful research projects, leveraging YOLO models for real-time crop management and developing smart chatbots to assist farmers. My experience also includes deploying scalable microservices with Docker and FastAPI, ensuring high system uptime for AI applications.
Passionate about leveraging cutting-edge technologies, I aim to drive innovation and deliver impactful business solutions. I am eager to continue my journey in AI and contribute to projects that make a difference in various industries.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer
Payactiv SDS-IT
Jan 2025 - Present (6 months)
Developed an AI-powered customer support chatbot using AWS Bedrock & OpenSearch, enhancing response automation and accuracy by 35%. Optimized LLM pipelines with RAG architectures, improving retrieval efficiency and reducing query resolution time by 40%. Deployed scalable microservices with Docker and FastAPI, ensuring 99.9% system uptime for AI-driven applications.
Machine Learning Engineer
IRISLABS
Sep 2023 - Jan 2025 (1 year 4 months)
Developed AI solutions using Python and FastAPI, including services for the Bizdemy project and an RAG-based smart chatbot for intelligent Q&A systems. Designed and deployed CNN-based models for medical image analysis, including brain tumor detection and diabetes detection from thermal images.
Research Assistant
National University of Technology (NUTECH)
Oct 2024 - Jan 2025 (3 months)
Leveraged YOLO models to detect and classify cotton weeds in real-time, enhancing crop management and improving yield prediction accuracy. Developed an AI-based smart chatbot to guide farmers, providing real-time advice on cotton farming practices, pest control, and resource management.
Education
Degrees, certifications, and relevant coursework
COMSATS University Islamabad
MS. in COMPUTER SCIENCE (MSCS), Computer Science
Grade: 3.56/4.00
Activities and societies: Awarded 2023 Laptop Winner Prime Minister’s Laptop Scheme, Higher Education Commission.
Pursued a Master of Science in Computer Science, focusing on advanced topics in the field. Completed a thesis titled 'A Transformer Based Approach For Multi-organ Segmentation In Medical Images'.
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