MANOJKUMAR R

AI Engineer with hands-on experience in building high-performance, real-time AI pipelines and deep compiler-level optimization using MLIR. Proficient in PyTorch, quantization techniques, and deploying models on custom AI accelerators (Untether AI). Developed and optimized multi-threaded streaming systems handling 200+ RTSP feeds, implemented zero-copy data pipelines, and integrated FFmpeg-based encoding. Demonstrated expertise in deep learning fundamentals through the implementation of Conv2D, ResNet50, YOLOv3, and GPT-2 models, with detailed understanding of training processes, model file formats, and inference optimizations. Delivered multiple technical presentations on AI fundamentals, quantization workflows, and hardware-software co-design for custom accelerators. Strong foundation in systems programming, compiler construction, and distributed ML workflows with exposure to MLOps practices.

Highly motivated and technically skilled Embedded Systems Engineer with hands-on experience in designing and developing embedded applications. Proficient in Advanced C, Embedded C, C++, and experienced with Linux environments including device drivers and internals. Successfully completed an Advanced Embedded Systems course from VECTOR india, delivering 8+ practical projects involving microcontrollers and real-time systems. Strong foundation in data structures and low-level programming with a keen interest in system-level development and performance optimization.