SHASHANK RAI
Crafting robust systems, sensor integrations, and interactive interfaces in pure black and white. Proficient in Java DSA, Python development, and hardware-software systems.
Crafting robust systems, sensor integrations, and interactive interfaces in pure black and white. Proficient in Java DSA, Python development, and hardware-software systems.
I am a results-driven Software Development Engineer candidate with strong proficiency in Java-based data structures and algorithms, Python development, and system-level problem-solving.
Experienced in delivering end-to-end application components, making balanced design trade-offs, and optimizing performance to meet functional and business requirements. I collaborate effectively within teams and support deployments in fast-paced environments.
Interact with my system directly. Type commands to query information.
Designed and delivered an interactive desktop AI assistant. Features include voice command processing, email automation, reminders, and integrated system utilities. Built a responsive GUI with dynamic visual feedback.
Developed an autonomous delivery robot using sensor-actuator integration. Engineered line-following navigation and AprilTag-based computer vision localization to identify and stop at predefined delivery points.
Contributed to the delivery of robotics-based systems involving sensor integration and real-time control algorithms. Supported system testing, debugging, and deployment using Arduino and Raspberry Pi. Collaborated with mentors and peers to resolve issues and improve system reliability.
Acquired foundations in computer science core principles: Data Structures & Algorithms, Object-Oriented Programming (OOPs), Database Management Systems (DBMS), Operating Systems, and Computer Networks. Maintained 8.22 SGPA in the 4th semester.
Winner of the "Tech On Earth" Competition for a sustainability tech solution. Two-time participant in the Smart India Hackathon, collaborating in cross-functional teams to design, develop, and present working prototypes under tight schedules.