\n );\n};\n","export default function Experience() {\n const experiences = [\n {\n logo: \"https://e7.pngegg.com/pngimages/799/987/png-clipart-computer-icons-avatar-icon-design-avatar-heroes-computer-wallpaper-thumbnail.png\",\n companyName: \"Tata Insights and Quants\",\n role: \"Assistant Manager\",\n startDate: \"June 2021\",\n endDate: \"August 2023\",\n location: \"Bangalore, India\",\n tools:\n \"Python, Django, Flask, MySQL, PostgreSQL, MongoDB, HTML5, CSS, Java, C++\",\n highlights: [\n \"Automatic Number Plate Recognition - Implemented an efficient system using YOLOv8 and Vision Transformers for accurate identification of vehicle number plates.\",\n \"PPE Kit Identification - Deployed YOLOv8 to identify individuals wearing protective equipment in construction sites, significantly enhancing workplace safety.\",\n \"Synthetic Data Generation - Employed advanced image processing techniques to generate synthetic datasets, enhancing automatic number plate recognition and littering detection on roadways.\",\n ],\n },\n {\n logo: \"https://e7.pngegg.com/pngimages/799/987/png-clipart-computer-icons-avatar-icon-design-avatar-heroes-computer-wallpaper-thumbnail.png\",\n companyName: \"Flux Auto\",\n role: \"Deep Learning Engineer\",\n startDate: \"June 2019\",\n endDate: \"June 2021\",\n location: \"Bangalore, India\",\n tools:\n \"Python, Django, Flask, MySQL, PostgreSQL, MongoDB, HTML5, CSS, Java, C++\",\n highlights: [\n \"Segmentation and Detection using Single Backbone - Developed a novel architecture capable of simultaneous object detection and segmentation using a single backbone network.\",\n \"rajectory Prediction - Predicted trajectories of vehicles in close proximity to the ego vehicle for enhanced driving safety.\",\n \"Real-Time Deployment - Optimized YOLOv3 performance using the TensorRT library, resulting in a significant increase in frames per second (fps) and deployment on the Jetson AGX platform.\",\n ],\n },\n ];\n return (\n
\n );\n};\n","export default function Projects() {\n const AcademicProjects = [\n {\n title: \"RRT Local Planner and A* for Global Planning\",\n description:\n \"Implemented Rapidly-Exploring Random Trees (RRT) for vehicle control and A* for global planning.\",\n },\n {\n title: \"Gap Follow and Pure Pursuit\",\n description:\n \"Implemented gap following and pure pursuit algorithms for smooth vehicle navigation.\",\n },\n {\n title: \"Text to Image Generation\",\n description:\n \"Utilized Latent Diffusion Model for generating scenic images from textual descriptions.\",\n },\n ];\n\n const ongoingProjects = [\n {\n title: \"Visual Question and Answers\",\n description:\n \"Utilizing text and vision encoders to provide accurate answers to questions related to images.\",\n },\n {\n title: \"Localization of Autonomous Vehicles in Autoware\",\n description:\n \"Employing NDT scan matcher and Eagleye for precise identification of vehicle locations.\",\n },\n {\n title: \"End-to-End Self-Driving using Language Models\",\n description:\n \"Integrating sensor data into language models to predict the next state of the vehicle.\",\n },\n ];\n return (\n
\n );\n};\n","import Navbar from \"./navbar\";\nimport AboutUs from \"./about-us\";\nimport Contact from \"./contact\";\nimport Education from \"./education\";\nimport Experience from \"./experience\";\nimport Projects from \"./projects\";\nimport Skills from \"./skills\";\n\nfunction App() {\n return (\n
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