🚀 Electronics Engineer | AI/ML Specialist | IRC'24&25 World Finalist | Cloud Computing Expert | Robotics Enthusiast | NLP Practitioner | Full-Stack Developer | Software Developer | Competitive Programmer | NIT Surat'26

I’m a BTech ECE undergraduate at NIT Surat, passionate about solving real-world problems using Cloud Computing, Electronics Engineering, AI/ML, Software Development, Robotics, NLP, and Full-Stack Development. Whether it's designing scalable applications, creating intelligent algorithms, or building autonomous systems, I thrive on pushing boundaries and innovating at scale.

"Always learning, always building — solving problems that matter."

• Scalable UDP Server for Low-Latency Humidity Data Transmission

  • Real-time sensor data acquisition via UDP server with low-latency transmission, advanced logging/error handling, modular architecture for scalability, containerized deployment with Docker, and CI/CD workflows using GitHub Actions.

  • Key Features: Near real-time data serving, simulation mode, multithreaded UDP server, enhanced scalability, and extensibility with added services (analytics, notifications, caching).

  • Impact: Built for high-throughput applications, automated testing/deployment, and Dockerized for seamless scalability in various environments.

    • Tech Stack:
      • Languages & Frameworks: Python, Docker, GitHub Actions
      • Tools & Libraries: DHT sensor, UDP, CI/CD, Multithreading, JSON
      • Key Technologies: Docker Compose, GitHub Actions, Sensor Integration, Real-Time Data Systems

• High-Performance Cloud Data Retrieval & Visualization Framework

  • An advanced open-source framework designed to retrieve, process, and visualize complex datasets from diverse cloud sources such as IoT devices, logs, social media feeds, and RESTful APIs.

  • Key Features: Seamless cloud integration, robust data processing pipelines, interactive visualization tools, and extensible design for modular integration.

  • Impact: Engineered for scalable and high-performance data processing, with full support for containerization and DevOps integrations (CI/CD, Docker).

    • Tech Stack:
      • Languages & Frameworks: Python, Docker, GitHub Actions
      • Tools & Libraries: Cloud APIs, RESTful APIs, Asynchronous Processing, Matplotlib, Plotly
      • Key Technologies: Cloud Data Integration, Real-Time Data Processing, Interactive Visualization, Modular Architecture, CI/CD Pipelines

• Autonomous Rover Navigation System

  • A mobile autonomous rover designed for soil analysis and navigation in challenging environments, with advanced components for power management, motor control, and communication.

  • Key Features: Comprehensive camera systems for navigation, manipulation, and soil analysis; robust communication over Wi-Fi with a 950m range; and powerful robot control using Raspberry Pi and Arduino.

  • Impact: Enables autonomous operation in harsh environments with real-time data transmission and remote control.

    • Tech Stack:
      • Languages & Frameworks: C++, Python, Node.js, HTML5
      • Key Technologies: Raspberry Pi, Arduino, Robot Operating System (ROS), OpenCV, TensorFlow, Gazebo, Rviz
      • Components: Ultrasonic Sensors (HCSR05), IMU (MPU9250), GPS, Cytron Motor Drivers, Lithium Polymer Batteries, Wi-Fi Communication, Web-GUI, MJPG-4 Streaming
      • Tools & Libraries: WebSocket, MJPG-streamer, npm-based Node.js frameworks

• Vision-Driven Robotic Arm System

  • A robotic arm designed for autonomous rovers, with a focus on mechanical design, drive electronics, and advanced control algorithms.

  • Key Features: Optimized mechanical design for strength and lightweight; precise motor control with sensors; software integration using ROS2 for smooth operation and task execution.

  • Impact: The robotic arm enhances the rover's capabilities, allowing it to autonomously perform tasks like object manipulation and placement.

    • Tech Stack:
      • Languages & Frameworks: C++, Python, ROS2
      • Key Technologies: OpenCV, Arduino, Motor Drivers, Proximity Sensors, Encoders, DC Motors
      • Components: Aluminum and high-strength plastics for the structure, ergonomic gripper for object handling
      • Tools & Libraries: colcon (for building ROS2 packages), pip (for managing Python dependencies)

	Rover Development Award: International Space Robotics Week 2025: Became one of the only 6 person globally to be awarded among 1,000 teams and 100,000 students.
	International Rover Challenge 2025: Led a team to secure 14th place internationally among 100,000 students.
	GUJCOST ROBOFEST 4.0: Delivered a fully functional rover prototype in the Proof of Concept round, securing a ₹50,000 prize.
	ISRO Robotics Challenge 2024 - URSC: Achieved a top 20 national ranking among 5,000 participants
	Google Winter of Code 2024: Achieved Regional Top 4 recognition for the development of a highly responsive and user-centric web application.
	International Rover Challenge 2024: Ranked in the global Top 17 out of over 10,000+ participants for outstanding rover design and performance.
	Smart India Hackathon 2023: Developed an innovative AI/ML-driven crop disease diagnostic application.

IEEE International Conference Paper Title: A Novel Multi-Stage Approach for Retinal Vessel Segmentation Using Adaptive Filtering and Edge-Linking in Medical Imaging Developed a computationally efficient multi-stage algorithm for retinal vessel segmentation, achieving 95%+ accuracy on medical imaging datasets (DRIVE, STARE, HRF). Leveraged adaptive filtering, edge-linking, and contrast enhancement for robust detection in pathological images. Status: Final draft prepared; pending submission to IEEE International Conference.

I am enthusiastic about collaborative projects and research opportunities in robotics, software development, and related fields. Feel free to reach out to me through email or LinkedIn.

⭐️ From AkhilRai28