Summary
Siddhant Sahu is a Platform Architect (AI/ML) with nine years of experience building machine learning systems that bridge computer vision research and large-scale distributed production infrastructure. Currently based in Zurich and pursuing graduate studies at University of Zurich and ETH Zürich, he has shipped optimized LLM/VLM deployments on embedded NVIDIA Jetson Orin SoCs and production microservices using Kafka, Spark and Kubernetes. His background spans 3D LiDAR and sensor fusion, time-series anomaly detection, and edge inference—reflecting a progression from photography-driven computer vision to multi-modal ML and cloud-native architectures. Siddhant pairs hands-on model optimizations (quantization, pruning, FlashAttention) with system-level engineering (KV-cache paging, batching, offloading) to squeeze performance from constrained hardware. He’s equally comfortable in C++ and CUDA as in Python and PyTorch, and has a knack for turning research prototypes into scalable, event-driven services.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Technology Computer Science, Bachelor of Technology Computer Science at KIIT - Kalinga Institute of Industrial Technology
Physics Maths Chemistry Biology Geography History , Physics Maths Chemistry Biology Geography History at St. Paul's School, Rourkela
High School Physics Chemistry Maths English, High School Physics Chemistry Maths English at Mother's Public School
Master's degree Computer Science, Master's degree Computer Science at University of Zurich
Visiting Student Computer Science, Visiting Student Computer Science at ETH Zürich
English, Hindi, Odia, German