Bastin Bajiyo Job
Senior Ai Engineer @TGI Sport
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WORK HISTORY
Senior Ai Engineer @TGI Sport
Manhattan, NY, US
High-Performance Deep Learning Deployment: Engineered and deployed highly optimized deep learning models for complex Computer Vision (CV) tasks (tracking, localization, segmentation), achieving ultra-low latency and high-speed throughput critical for real-time applications.Inference Acceleration Expertise: Mastered and leveraged advanced deployment frameworks, including TensorRT and ONNX Runtime, to perform graph optimizations, kernel fusion, and precision reduction (FP16/INT8), significantly boosting inference speed on target hardware.End-to-End CV Pipeline Ownership: Drove the entire deep learning lifecycle from initial development (training, validation, optimization) to production-ready deployment, successfully solving complex, performance-critical segmentation and tracking problems.Performance Benchmarking and Optimization: Benchmarked and iteratively optimized model performance to meet stringent operational requirements, resulting in substantial reductions in tail latency and increased overall system efficiency.
EDUCATION
Syracuse University School of Information Studies
Master's degree, Applied Data Science
Indian Institute of Space Science and Technology
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering
ABOUT BASTIN BAJIYO JOB
Bastin is a highly specialized Machine Learning Engineer and Computer Vision expert with deep experience in deploying high-performance, low-latency deep learning solutions across complex domains, including medical imaging and edge computing.Currently, their focus involves the full lifecycle management of advanced deep learning models, specializing in object tracking, localization, and complex instance segmentation. They are distinguished by their expertise in performance acceleration and deployment, utilizing frameworks like TensorRT and ONNX Runtime to optimize models for ultra-low latency and high-speed throughput, often achieving significant speed improvements on target hardware.Previously, as a Machine Learning Engineer at Syracuse University, they specialized in medical computer vision, developing and deploying image segmentation and reconstruction models for surgical MRI scans using tools like PyTorch, OpenCV, and Generative Adversarial Networks (GANs). This experience included spearheading the acceleration of CV models using JAX and XLA compilers for GPU/TPU backends, resulting in a 30-40% performance improvement in end-to-end model execution.Their unique background also includes a significant contribution as a Data Scientist at SatSure, where they contributed to the development of India\'s first ever Edge Machine Learning in Outer Space Model. In this role, they prototyped AI/DL computer vision models on custom hardware backends, utilizing TensorFlow, PyTorch, ONNX, and advanced compiler technologies like MLIR and Apache TVM.They hold a Master\'s degree in Applied Data Science from Syracuse University School of Information Studies and a Bachelor of Technology in Electrical, Electronics and Communications Engineering from the Indian Institute of Space Science and Technology.
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