Carrombot
Developed an AR-based Carromboard game for Android, enabling users to play against a smart AI bot in an augmented reality environment. Utilized Unity for game development and integrated Google Firebase for backend services.
Hussain R is a Backend Engineer with over six years of experience specializing in backend development, distributed systems, and high-performance application design. Proficient in Go, C++, and Python, Hussain builds scalable APIs, microservices, and data-intensive systems. He utilizes technologies such as Kubernetes, Docker, AWS, Terraform, and GraphQL, focusing on system performance optimization through concurrency, queuing mechanisms, and caching strategies. Hussain also implements robust search solutions with…
Developed an AR-based Carromboard game for Android, enabling users to play against a smart AI bot in an augmented reality environment. Utilized Unity for game development and integrated Google Firebase for backend services.
Implemented a self-driving bot race car using a Convolutional Neural Network (CNN). Trained the bot with a pre-trained model's dataset, enabling autonomous driving. Fine-tuned the model with specific race car data, resulting in highly effective autonomous driving capabilities.
Implemented LSTM and Mixture Density Network techniques to generate realistic handwriting from textual input. Developed an RNN model combining many-to-many and one-to-many approaches, enhancing flexibility and accuracy in capturing handwriting patterns. Achieved impressive results with handwritten samples closely mimicking human writing styles.
Leveraged Decision Trees to develop a robust model for car specification analysis, achieving 98% accuracy on test data. Trained the model using a comprehensive dataset of car specifications. Applied the model to real-world scenarios, providing accurate predictions and valuable insights for decision-making.
Developed a Pacman game in C++ using an open-source GUI framework, implementing accurate gameplay mechanics for an immersive user experience. Utilized a Breadth-First Search (BFS) algorithm to enable intelligent movement and decision-making for Blinky, Pinky, Inky, and Clyde. Ensured the game faithfully adhered to Pacman rules, delivering a classic arcade experience.

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Hussain R is a Backend Engineer with over six years of experience specializing in backend development, distributed systems, and high-performance application design. Proficient in Go, C++, and Python, Hussain builds scalable APIs, microservices, and data-intensive systems. He utilizes technologies such as Kubernetes, Docker, AWS, Terraform, and GraphQL, focusing on system performance optimization through concurrency, queuing mechanisms, and caching strategies. Hussain also implements robust search solutions with…
Developed an AR-based Carromboard game for Android, enabling users to play against a smart AI bot in an augmented reality environment. Utilized Unity for game development and integrated Google Firebase for backend services.
Implemented a self-driving bot race car using a Convolutional Neural Network (CNN). Trained the bot with a pre-trained model's dataset, enabling autonomous driving. Fine-tuned the model with specific race car data, resulting in highly effective autonomous driving capabilities.
Implemented LSTM and Mixture Density Network techniques to generate realistic handwriting from textual input. Developed an RNN model combining many-to-many and one-to-many approaches, enhancing flexibility and accuracy in capturing handwriting patterns. Achieved impressive results with handwritten samples closely mimicking human writing styles.
Leveraged Decision Trees to develop a robust model for car specification analysis, achieving 98% accuracy on test data. Trained the model using a comprehensive dataset of car specifications. Applied the model to real-world scenarios, providing accurate predictions and valuable insights for decision-making.
Developed a Pacman game in C++ using an open-source GUI framework, implementing accurate gameplay mechanics for an immersive user experience. Utilized a Breadth-First Search (BFS) algorithm to enable intelligent movement and decision-making for Blinky, Pinky, Inky, and Clyde. Ensured the game faithfully adhered to Pacman rules, delivering a classic arcade experience.
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