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Hi, I'm Vijay Chevireddi, a passionate engineer specializing in machine learning and robotics. I enjoy developing innovative AI models and deploying them in real-time applications, especially in computer vision and robotics. With experience ranging from object detection to natural language processing for robot navigation, I am always eager to explore new challenges in the AI and robotics space. I have a strong foundation in deep learning frameworks and ML-Ops tools, which has enabled me to create robust and scalable solutions. I'm currently pursuing my Master's degree in Robotics at the University of Maryland, while simultaneously working on cutting-edge research projects involving vision transformers, reinforcement learning, and large language models.…Hi, I'm Vijay Chevireddi, a passionate engineer specializing in machine learning and robotics. I enjoy developing innovative AI models and deploying them in real-time applications, especially in computer vision and robotics. With experience ranging from object detection to natural language processing for robot navigation, I am always eager to explore new challenges in the AI and robotics space. I have a strong foundation in deep learning frameworks and ML-Ops tools, which has enabled me to create robust and scalable solutions. I'm currently pursuing my Master's degree in Robotics at the University of Maryland, while simultaneously working on cutting-edge research projects involving vision transformers, reinforcement learning, and large language models.

Vijay Chevireddi

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Hi, I'm Vijay Chevireddi, a passionate engineer specializing in machine learning and robotics. I enjoy developing innovative AI models and deploying them in real-time applications, especially in computer vision and robotics. With experience ranging from object detection to natural language processing for robot navigation, I am always eager to explore new challenges in the AI and robotics space. I have a strong foundation in deep learning frameworks and ML-Ops tools, which has enabled me to create robust and scalable solutions. I'm currently pursuing my Master's degree in Robotics at the University of Maryland, while simultaneously working on cutting-edge research projects involving vision transformers, reinforcement learning, and large language models.…Hi, I'm Vijay Chevireddi, a passionate engineer specializing in machine learning and robotics. I enjoy developing innovative AI models and deploying them in real-time applications, especially in computer vision and robotics. With experience ranging from object detection to natural language processing for robot navigation, I am always eager to explore new challenges in the AI and robotics space. I have a strong foundation in deep learning frameworks and ML-Ops tools, which has enabled me to create robust and scalable solutions. I'm currently pursuing my Master's degree in Robotics at the University of Maryland, while simultaneously working on cutting-edge research projects involving vision transformers, reinforcement learning, and large language models.

Available to hire

Hi, I’m Vijay Chevireddi, a passionate engineer specializing in machine learning and robotics. I enjoy developing innovative AI models and deploying them in real-time applications, especially in computer vision and robotics. With experience ranging from object detection to natural language processing for robot navigation, I am always eager to explore new challenges in the AI and robotics space.

I have a strong foundation in deep learning frameworks and ML-Ops tools, which has enabled me to create robust and scalable solutions. I’m currently pursuing my Master’s degree in Robotics at the University of Maryland, while simultaneously working on cutting-edge research projects involving vision transformers, reinforcement learning, and large language models.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Machine Learning Research Engineer at Fischell Department of Bioengineering – UMD, USA

May 31, 2025 - July 24, 2025

Developed and refined a real-time object detection and tracking pipeline for sonar imagery by training and fine-tuning various YOLOv11 models, with YOLOv11n achieving 90% test accuracy. Improved pipeline performance by 20% by upgrading to a Real-Time Detection Transformer (RT-DETR) and integrating BYTETracker with custom post-processing. Engineered a human gait classification pipeline using 17-point skeleton extraction via MMPOSE framework, normalization workflow, and trained vision transformer, RNN, and CNN-LSTM models to achieve 95% test accuracy.

Machine Learning Engineer at Sai Vamsi Industries – India

May 31, 2023 - July 24, 2025

Constructed and deployed an automated visual inspection system by fine-tuning a YOLO model on a custom dataset to detect and classify machine component anomalies. Conducted comparative analysis of deep learning models including ResNet, VGG, and Vision Transformer (ViT), identifying ViT as most effective with 93% accuracy. Integrated a reporting module using CLIP captioning and ChatGPT API for programmatic root cause analysis leveraging few-shot learning for context-aware reports.