Amartya Kalapahar is a data-focused software engineer and MS Computer Science student at Arizona State University with eight years of hands-on experience building ML-driven solutions across healthcare, vision, and consumer apps. He has contributed to published research on prostate cancer detection using U-Net variants and has applied similar computer vision and deep learning skills at Alcon and CVBLab to improve clinical outcomes. Recent internships and roles show a blend of backend engineering, production ML, and LLM work—from integrating LLMs and analytics in mobile backends to experimenting with RAG, LangChain, and custom summarization at Self Justice. Comfortable across Python, big data, AWS, and model deployment, he’s currently developing predictive models at Lifekind Health and seeks SDE, Data Engineer, or MLE roles that bridge research rigor with product impact. Less obvious: he pairs research-grade model development with practical API and app integrations, turning prototypes into usable clinical and consumer features.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Arizona State University
Bachelor of Engineering - BE, Computer Science, 8.94, Bachelor of Engineering - BE, Computer Science, 8.94 at NMAM Institute of Technology
12th Grade, Science, 12th Grade, Science at Delhi Public School, Ruby Park
10th Board, Science, 10th Board, Science at South Point High School, Kolkata
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