GAUDHAMI SASI

I am a passionate third-year Computer Science student proficient in Flutter, C, Java, Python, MySQL, and Oracle, with hands-on experience in cross-platform mobile development, backend systems, and database design. My participation in hackathons and technical workshops highlights my problem-solving skills and teamwork, while academic projects demonstrate my ability to develop full-stack solutions and optimize algorithms. Eager to leverage my technical skills and enthusiasm for learning to build innovative software.

• Used Microsoft Excel to develop inventory tracking spreadsheets.
• Represented the National Handball Team (2015-2020) and secured 1st place at the District Level, showcasing teamwork, discipline, and competitive excellence.
• Served as school captain at Jawahar Navodaya Vidyalaya, demonstrating strong leadership, discipline, and responsibility in managing house activities, mentoring juniors, and upholding institutional values.

• Certified in Oracle Certification Course from Infosys springboard.
• Certified in database and sql queries course from infosys springboard.
• Certified in metaverse course conducted by NIT,calicult.
• Certified in machine learning and development from infosys springboard.
• participated in the NOVA VOICE-CONTROLLED BOT workshop conducted by IEEE RAS SBC CET.
• Certified in engineering economics couse from NPTEL

Automated Timetable Generator using Randomized First-Fit Algorithm:

• Algorithm Innovation: Developed a randomized first-fit algorithm (enhanced with Fisher-Yates Shuffle) to solve the NP-hard timetabling problem, reducing conflicts by 90% and generating schedules 5x faster than manual methods.
• Full-Stack Development: Built a scalable web platform using MERN stack (MongoDB for data storage, Express.js/Node.js for backend APIs, React for dynamic frontend).
• Constraint Handling: Automated scheduling for 50+ teachers and 20+ subjects while adhering to hard constraints (teacher availability, lab sessions) and soft constraints (senior faculty preferences, subject distribution).

NOVA – Voice-Controlled Bot:

• Voice-Activated Control: Designed a robot that responds to 50+ voice commands (e.g., navigation, object retrieval) using Python-based NLP (Speech Recognition) and Raspberry Pi for real-time processing.
• Hardware Integration: Built a cost-effective prototype with ultrasonic sensors (obstacle avoidance), servo motors (movement), and a custom PCB for power management.
• IoT Connectivity: Enabled remote monitoring/control via a Flask web dashboard, showcasing live sensor data (distance, battery level) and command logs.