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

I’m a BTech ECE undergraduate at SVNIT Surat, passionate about solving real-world problems using software development, distributed systems, and AI-driven robotics. 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 File Storage System (Ongoing)

  • A distributed file system designed to handle large-scale user requests using Python, C++, and Google Cloud Platform.
  • Key Features: Efficient data retrieval algorithms, enhanced scalability, and redundancy.
  • Tech Stack: Python, C++, GCP.

• AI-Powered Virtual Assistant

  • A voice-activated assistant leveraging TensorFlow and NLP for real-time query processing and automation.
  • Reduced manual intervention by 70%.
  • Tech Stack: Python, TensorFlow, Flask.

• Autonomous Rover Navigation System

  • Real-time LiDAR-based navigation and traffic detection using ROS and OpenCV.
  • Achieved 95% accuracy in traffic detection and successfully demonstrated capabilities in simulation.
  • Tech Stack: ROS, OpenCV, Python.

• Vision-Driven Robotic Arm

  • Developed a 6-DOF robotic arm for object manipulation using ROS2 and MoveIt-2, reducing errors by 20%.
  • Tech Stack: ROS2, MoveIt-2, Python.

	International Rover Challenge 2024: Ranked in the global Top 17 out of over 1,000 competing teams for outstanding rover design and performance.
	ISRO Robotics Challenge 2024: Placed among the national Top 20 out of 5,000 participants, showcasing advanced robotics capabilities.
	GUJCOST ROBOFEST 4.0: Delivered a fully functional rover prototype in the Proof of Concept round, securing a ₹50,000 prize.
	Google Winter of Code 2024: Achieved Regional Top 4 recognition for the development of a highly responsive and user-centric web application.
	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.

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

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