Driven Machine Learning and Generative AI Engineer with a Master’s in Data Science and hands-on experience
building and deploying AI-powered systems. Proficient in Python, TensorFlow, PyTorch, SQL, and cloud
technologies…
Driven Machine Learning and Generative AI Engineer with a Master’s in Data Science and hands-on experience
building and deploying AI-powered systems. Proficient in Python, TensorFlow, PyTorch, SQL, and cloud
technologies (AWS, Docker, Kubernetes). Experienced in developing, fine-tuning, and integrating Large
Language Models (LLMs) for end-to-end machine learning solutions. Seeking a full-time role to apply expertise
in machine learning, deep learning, and generative AI to deliver scalable and intelligent data-driven products.
Developed and deployed a real-time facial emotion detection and spoof detection system using deep learning (CNNs, OpenCV), achieving 94% accuracy on live video feeds.
Conducted comprehensive API testing for 20+ endpoints, identifying and resolving 15+ critical issues, improving system reliability and security pre-launch.
Built a responsive front-end for a concert booking website using React.js, resulting in a 15% improvement in user engagement metrics.
Collaborated with backend and ML teams to integrate trained models into REST APIs, optimizing model inference speed and deployment performance.
Developed and deployed a real-time facial emotion detection and spoof detection system using deep learning (CNNs, OpenCV), conducted comprehensive API testing, built a responsive front-end for a concert booking website, and collaborated with backend and ML teams.
Designed and developed a full-stack e-commerce portal with a focus on UX/UI enhancements, reducing cart abandonment rates by 10%.
Implemented data-driven insights and analytics dashboards to support personalized user experience and product recommendations.
Designed and developed a full-stack e-commerce portal with a focus on UX/UI enhancements, and implemented data-driven insights and analytics dashboards.
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