resume.json

{
  "basics": {
    "name": "Alok Raj",
    "label": "Undergraduate Student",
    "image": "",
    "email": "alok9360@gmail.com",
    "phone": "+91-8709414158",
    "url": "https://loki-silvres.github.io",
    "summary": "A highly motivated student with a passion for robotics and artificial intelligence.",
    "location": {
      "address": "IIT ISM Dhanbad",
      "postalCode": "826004",
      "city": "Dhanbad",
      "countryCode": "IN",
      "region": "Jharkhand"
    },
    "profiles": [
      {
        "network": "GitHub",
        "username": "loki-silvres",
        "url": "https://github.com/loki-silvres"
      }
    ]
  },
  "work Experience": [
    {
      "name": "Active Growth Partners",
      "position": "Data Science and Software Developer",
      "url": "",
      "startDate": "2024-08-01",
      "endDate": "Present",
      "summary": "Developed a scalable dental disease detection system addressing data challenges and model performance",
      "highlights": [
      "Built a dental disease detection system with improved data consistency",
      "Deployed a real-time Flask API on AWS EC2 and S3",
      "Collaborated to improve model metrics across 31 disease classes, achieving mAP50 of 31%"
    ]
  },
    {
      "name": "Clutterbot",
      "position": "ML Intern",
      "url": "",
      "startDate": "2024-05-10",
      "endDate": "2024-07-20",
      "summary": "Enhanced perception team's model pipelines for robotics applications",
      "highlights": [
      "Integrated Boundary Loss to improve semantic segmentation precision",
      "Conducted cloud-based model training experiments",
      "Optimized object detection model, increasing mAP50 from 34% to 42%"
    ]
  }
  ],
  "education": [
    {
      "institution": "Indian Institute of Technology (IIT ISM) Dhanbad",
      "location": "Dhanbad, India",
      "area": "Computer Science and Engineering",
      "studyType": "Bachelor of Technology",
      "startDate": "2022-10-22",
      "endDate": "2026-05-01",
      "score": "8.82"
    },
    {
      "institution": "BR DAV Public School",
      "location": "Begusarai, India",
      "area": "High School",
      "studyType": "12th Grade",
      "startDate": "2020-08-01",
      "endDate": "2022-06-01",
      "score": "97.2%"
    }
  ],
  "awards": [
    {
      "title": "Grand Finalist, AIM (Smart Car Design Challenge), NXP-AIM'24",
      "date": "2024-10-24",
      "awarder": "NXP Semiconductors",
      "url": "",
      "summary": "India's largest Smart Car Design Challenge, prize money $4,000"
    },
    {
      "title": "3rd Position, Robowars (BattleBots) at Concetto 2024",
      "date": "2024-10-18",
      "awarder": "Concetto 2024",
      "url": "",
      "summary": "Annual Tech Fest of IIT Dhanbad, prize money $1,200"
    },
    {
      "title": "3rd Position, Robowars (BattleBots) at TechKriti 2024",
      "date": "2024-03-15",
      "awarder": "TechKriti 2024",
      "url": "",
      "summary": "Annual Tech Fest of IIT Kanpur, prize money $2,400"
    }
    ,
    {
      "title": "Excellent Academic Performance Award",
      "date": "2022-11-16",
      "awarder": "AISSCE 2022",
      "url": "",
      "summary": "Awarded for outstanding academic performance in my region."
    }
  ],
  "skills": [
    {
      "name": "Programming",
      "level": "Expert",
      "keywords": ["C++", "Python", "MATLAB", "Linux", "Git"]
    },
    {
      "name": "Simulation and Visualization",
      "level": "Expert",
      "keywords": ["Isaac Gym", "Gazebo", "RViz"]
    },
    {
      "name": "Frameworks and Libraries",
      "level": "Expert",
      "keywords": ["ROS/ROS2", "PyTorch", "OpenCV", "Matplotlib"]
    },
    {
      "name": "Hardware",
      "level": "Proficient",
      "keywords": ["Nvidia Orin", "Depth Camera", "2D LIDAR", "Dynamixel Actuators", "RaspberryPi", "Odroid XU4"]
    }
  ],
  "languages": [
    {
      "language": "Hindi",
      "fluency": "Native speaker",
      "icon": ""
    },
    {
      "language": "English",
      "fluency": "Fluent",
      "icon": ""
    },
    {
      "language": "Japanese",
      "fluency": "Elementary",
      "icon": ""
    }
  ],
  "interests": [
    {
      "name": "Robotics",
      "keywords": ["Computer Vision", "Mobile Robots", "Swarm Robotics", "Legged Robots", "Humanoid Robots", "Control Systems"]
    },
    {
      "name": "Embedded Systems",
      "keywords": ["Circuit Design", "Microcontrollers", "Sensor Interfacing"]
    },
    {
      "name": "Machine Learning",
      "keywords": ["Reinforcement Learning", "Foundation Models", "Computer Vision"]
    }
  ],
  "projects": [
    {
      "name": "Mobile-Swarm-Navigation",
      "summary": "Developed a scalable robot swarm for autonomous exploration and navigation in a dynamic environment.",
      "highlights": [
        "Achieved dynamic semantic environmental mapping with Instance Segmentation and Stereo Depth",
        "Designed a custom semantic database management system for efficient task allocation for the swarm",
        "Designed a user-friendly chatbot interface for swarm control"
      ],
      "startDate": "2024-11-10",
      "endDate": "2024-12-14",
      "url": "https://github.com/Loki-Silvres/Mobile-Swarm-Navigation",
      "technologies": ["ROS2", "PyTorch", "Gazebo"]
    },
    {
      "name": "Autonomous Driving NXP-B3RB-buggy",
      "summary": "Developed an autonomous driving system for the B3RB buggy using ROS2, leveraging advanced perception and control techniques",
      "highlights": [
        "Implemented LIDAR and camera for lane detection, obstacle avoidance, and traffic sign recognition",
        "Trained YOLOv5s with INT8 quantization, achieving real-time inference at 7 Hz",
        "Achieved a 1:42 track time with Ackermann-steering control"
      ],
      "startDate": "2024-07-24",
      "endDate": "2024-10-24",
      "url": "",
      "technologies": ["ROS2", "PyTorch", "Gazebo", "Cognipilot"]
    },
    {
      "name": "Embedded Toy Detection for Robots",
      "summary": "Advanced object detection project for robotic perception using state-of-the-art machine learning techniques",
      "highlights": [
        "Trained Co-DETR model for pseudo-labelling unannotated images",
        "Applied curriculum learning and knowledge distillation",
        "Increased mAP50 from 34% to 42%",
        "Deployed model on robot using Nvidia DeepStream and ROS2"
      ],
      "startDate": "2024-05-10",
      "endDate": "2024-07-20",
      "url": "",
      "technologies": ["Nvidia DeepStream", "PyTorch", "Git", "ROS2"]
    },
    {
      "name": "Hologlyph Bots",
      "summary": "Developed a robotic system with advanced perception and control mechanisms",
      "highlights": [
        "Simulated bot in Gazebo with overhead camera for arena monitoring",
        "Implemented Aruco detection for pose tracking",
        "Developed PID control loop with camera feedback",
        "Integrated inverse kinematics for holonomic drive"
      ],
      "startDate": "2023-08-10",
      "endDate": "2024-02-10",
      "url": "",
      "technologies": ["OpenCV", "ROS2", "Gazebo", "Micro-ROS", "SolidWorks"]
    }
  ]
}