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Alapan Ghosh
Ai Engineer - Healthcare Innovation @Kasturba Medical College, Manipal
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WORK HISTORY
Ai Engineer - Healthcare Innovation @Kasturba Medical College, Manipal
Working on the end-to-end development and validation of AI and Machine Learning models for real-world healthcare systems in collaboration with KMC Hospital, Manipal.• Involved in data analysis, feature engineering, model building, experimentation, and performance evaluation on healthcare datasets.• Coordinating closely with clinical experts and academic stakeholders to ensure AI solutions align with real operational and clinical requirements.• Contributing to healthcare research outcomes, including research publications, patent development, and commercialization planning.• Gained hands-on experience in applied AI, project handling, and cross-domain collaboration within a healthcare innovation environment.
EDUCATION
Rajballavpur High School(H.S)
Higher Secondary, PCMB
Nivedita Shishu Tirthya
Nursery to 4th Standard
Manipal Institute of Technology
M.Tech, Artificial Intelligence
University of Engineering & Management (UEM)
B.Tech, Computer Science
ABOUT ALAPAN GHOSH
I am an M.Tech graduate in Artificial Intelligence and Machine Learning (Machine Intelligence & Decision Science) from Manipal Institute of Technology, with strong hands-on experience in applying AI to real-world healthcare and computer vision problems.My work spans end-to-end machine learning and deep learning solutions—from data preprocessing and model development to deployment and real-time inference. I have developed and evaluated multiple AI systems in domains such as medical diagnosis, agricultural disease detection, intelligent transportation, and safety systems.My research experience includes building a potato leaf disease prediction framework, where I benchmarked seven CNN architectures and applied strategic fine-tuning to achieve 99.22% test accuracy, along with a custom Python-based GUI for live, real-world validation. I have also worked on thalassemia classification, interpretable heart disease prediction, and AI-powered tyre health monitoring systems using transfer learning.During my Machine Learning Internship at Things Alive Solutions Pvt. Ltd, Bangalore, I contributed to computer vision projects such as seatbelt detection, passenger age estimation, and explored Generative AI and LLM-based workflows, gaining exposure to production-oriented AI development.I am proficient in Python, TensorFlow, Keras, PyTorch, Scikit-learn, and have experience with model interpretability, GUI integration, and full-stack development. My research work has been presented at an International Conference, and I actively engage in innovation and applied research through the MIT Innovation Center.I am currently seeking opportunities where I can apply AI and machine learning to impactful, real-world problems, contribute to innovative teams, and continue growing as an AI professional. Interests: Applied AI | Machine Learning | Deep Learning | Computer Vision | Healthcare AI | Interpretable AI Open to: AI/ML Engineer, Research Associate, Applied AI Roles, Industry-focused Research Opportunities
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