Sudeshna Bora is a Berlin-based software engineer with a decade of experience building production-grade systems across Java, cloud-native tooling and deep learning research. She blends a computational neuroscience master’s background with hands-on expertise in Python, PyTorch and image analysis, and has a track record of accelerating scientific code—e.g., integrating CUDA streams into brian2cuda to cut spiking network simulation time by ~52%. Her industry experience spans end-to-end delivery on cloud platforms (EKS, Docker, Helm, Kubernetes) and data-heavy backends from her Deloitte big-data work to migrating analytics to AWS for significant cost savings. At Audatic she continues to bridge research and product engineering, while earlier roles at Max Planck and TU Berlin show strong skills in reproducible tooling, benchmarking and automation. Curious and practical, she also pursues audio-related side projects and enjoys tinkering with code, bringing a research-informed, performance-focused mindset to production software.
10 years of coding experience
2 years of employment as a software developer
High School, Distinction, High School, Distinction at Little Flower Higher Secondary School, Dibrugarh
Master's degree, Computational Neuroscience, 1.5, Master's degree, Computational Neuroscience, 1.5 at Bernstein Center for Computational Neuroscience
Bachelor's Degree, Computer Engineering, 9.6, Bachelor's Degree, Computer Engineering, 9.6 at Kalinga Institute of Industrial Technology
Higher Secondary, Science (Physics, Chemistry, Mathematics & Statistics), Distinction, Higher Secondary, Science (Physics, Chemistry, Mathematics & Statistics), Distinction at Salt Brook Academy
Bachelor’s Degree, B.A (Psychology), Bachelor’s Degree, B.A (Psychology) at Fergusson College
Contributions:48 pushes, 1 branch, 1 tag in 2 years 5 months
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