Rithvik Thummalapenta Email & Phone Number

Dallas, Texas, United States

- Technology Strategy- Product Development- Innovation, R&D Development- Team Leadership- System Architecture

Dallas, Texas, United States

A 9-week intensive AI/ML workshop covering- Python programming and data analysis (NumPy, pandas)- Data processing and statistical operations- Machine learning and model building (decision trees, neural networks)- Deep learning with TensorFlow (CNNs and RNNs)- Model evaluation techniques and hands-on project activities

Created Autonet and participated in the world's largest virtual pitch competition for high schoolers, achieving Top 30 (Top 0.03% of participants) amongst 9800 students from 161 countries.

- Conducted advanced data analysis and preprocessing to optimize machine learning workflows.- Partnered with cross-functional AI teams to refine and improve algorithmic performance.- Delivered comprehensive research presentations, driving strategic decision-making and innovation.- Spearheaded critical discussions, fostering a collaborative environment for AI advancements.

Richardson, Texas, United States

- Engaged in hands-on AI development projects, applying theoretical knowledge to practical applications.- Collaborated with leading researchers and peers to explore innovative AI solutions and methodologies.- Analyzed complex datasets and created machine learning models, addressing real-world challenges.- Presented findings and insights in workshops, contributing to academic discussions.

- Completed the Autonomous RACECAR course at MIT Beaver Works Summer Institute.- Gained proficiency in Python, Git, and GitHub.- Applied programming skills to autonomous vehicle projects.- Enhanced understanding of robotics and AI technologies.

Our team won the innovator award for creating LIBRUS (Lithium Ion Battery Recycling Ultrasonication System). It uses high-frequency sound waves to recycle batteries; this technology is cost-efficient, resource-efficient, and is applicable to all types of lithium-ion batteries.

United States

- Published a whitepaper on an advanced V2V network for autonomous vehicle security.- Developed a protocol for real-time data sharing between self-driving vehicles.- Showed how the network reduces accident risks by enhancing decision-making.- Highlighted improvements over current V2V alert systems with autonomous integration.

- Engaged in an intensive AI immersion program developed and taught by Stanford and MIT alumni.- Participated in hands-on research projects and faculty lectures.- Collaborated with leading tech companies to apply AI concepts in practical scenarios.- Gained comprehensive knowledge and practical experience in artificial intelligence.