Srikari Maddikunta

I am Srikari Maddikunta, currently pursuing a B.Tech in Computer Science Engineering under a specialization Artificial Intelligence. I have a strong interest in software development and I am keen to apply my academic knowledge to real-world projects through practical learning experiences. During my academic journey, I have gained a solid foundation in programming languages such as Java, Python, C and have worked on projects involving SQL, React. I am a quick learner, dedicated, and always eager to expand my skill set.

Known for reliability and adaptability, with swift capacity to learn and apply new skills. Committed to leveraging these qualities to drive team success and contribute to organizational growth.

• Completed the Artificial Intelligence certification, Infosys Springboard gaining foundational knowledge of AI concepts, applications, and real-world use cases. link
• Completed Python 101 for AI, IBM Cognitive Class covering Python fundamentals for data analysis. link
• Completed a certified Java programming course through Infosys Springboard, gaining strong understanding of core Java concepts including object-oriented programming, data structures, exception handling, and basic application development. link
• Active participant in CBIT Hacktoberfest Hackathon 2025 gaining hands-on experience in collaborative problem-solving. link
• Engaged in the GeeksforGeeks Hackathon working in a team to design and implement innovative problem-solving skills. link
• Earned certification in Introduction to Cybersecurity, Cisco Networking Academy
• Received Agentic AI certification by GDG link
• Awarded many prizes and certifications in classical music, reputed music academies through competitions from

• AI-Powered Text Digitisation App

Role: Developer (Group Project) 

Technologies: Python, Google ML Kit, Backend API 

Description: Built a system that converts handwritten medical prescriptions and doctor notes into clear, structured electronic records.

Text Digitisation Moblie Application 

• Automatic Seat Planner

Role: Frontend Developer (Group Project) 

Technologies: Python, HTML, CSS, JavaScript 

Description: Created a tool that automatically generates seating plans for exams, reducing manual work and mistakes. 

Automatic Seating Planner 

• Conversational AI for Instant Business Intelligence Dashboards

Role: Full Stack Developer 

Technologies: React.js, FastAPI (Python), SQLite, Chart.js, Gemini API, JavaScript, HTML, CSS 

Description: Developed an Al platform that turns natural language questions into SQL and produces interactive dashboards. Added features for quick CSV uploads, smart chart selection, and live data views. 

AI Powered Dashboard 

• Music Web Application

Role: Full Stack Developer 

Technologies: HTML, CSS, React.js, Node.js with Express.js, MongoDB, JWT Description: Built a full-stack music streaming app where users can play songs, search music, and create playlists across different devices.

Music Application