Summary
Shantipriya Parida is a Senior AI Scientist and SMTS Software Development Engineer specializing in Generative AI, LLM pre-training/fine-tuning, and Retrieval-Augmented Generation with a strong focus on AMD ROCm optimization and GEMM kernel selection for high-performance AI workloads. With eight years in research and industry roles across Europe and India, she bridges deep learning, NLP (including machine translation and summarization), and computational neuroscience to deliver production-ready systems and scalable architectures. She has held postdoctoral positions and led applied research at Silo AI and AMD, contributes to EU-funded projects, and edits academic volumes on NLP—currently authoring a book on low-resource languages. A guest lecturer at Aalto University and UiT and an editorial board member of the Journal of Multiscale Neuroscience, she also mentors with Women in AI Finland and organizes workshops for the Workshop on Asian Translation. Her background in solution architecture and pre-sales engineering at Huawei gives her uncommon fluency moving models from research into real-world telecom and video platforms. Based in Helsinki, she combines academic rigor with hands-on optimization expertise that accelerates LLM deployment on specialized hardware.
8 years of coding experience
19 years of employment as a software developer
Intern(Machine Intelligence Unit), Machine Learning/Pattern Recognition, Intern(Machine Intelligence Unit), Machine Learning/Pattern Recognition at Indian Statistical Institute, Kolkata
Postdoc, Neural Machine Translation, Deep Learning, NLP, Postdoc, Neural Machine Translation, Deep Learning, NLP at Charles University in Prague
Master of Technology (MTech), Computer Science(Specialization: Pattern Recognition, Artificial Intelligence, Stochastic Modelling), First Class(Hons), Master of Technology (MTech), Computer Science(Specialization: Pattern Recognition, Artificial Intelligence, Stochastic Modelling), First Class(Hons) at Utkal University
English, French, Odia