Roshan Nayak

WORK HISTORY

EDUCATION

ABOUT ROSHAN NAYAK

I am a Computer Engineering graduate student at NYU specializing in Artificial Intelligence, Machine Learning, and Software Engineering, with experience spanning deep learning, NLP, computer vision, and edge AI deployment. My work has involved building SegFormer-based segmentation models, DINO/RTMDet object detection pipelines, and Wav2Vec2.0/Whisper speech recognition systems, optimized for both cloud and embedded platforms using Docker, NVIDIA Triton Inference Server, and Jetson devices. I have published research on generative AI for cross-modal image translation at NeurIPS and contributed production-level features in C++ for Synopsys EDA tools, reducing debug turnaround times significantly.Proficient in Python, C++, PyTorch, TensorFlow, HuggingFace, MLflow, and Android development, I am passionate about applying AI/ML, LLMs, and generative models to solve real-world problems at scale. I bring strong experience in model optimization and performance engineering, and I thrive at the intersection of research and deployment, ensuring that innovative ideas translate into reliable, user-facing solutions. Always eager to collaborate on impactful AI projects, I am open to opportunities in Machine Learning Engineering, Applied AI Research, and Software Development.