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Thribhuvan Rapolu

About me

Passionate about the broader field of Computer Science, with a special focus on AI/ML, Reinforcement Learning, Computer Vision and Natural Language Processing. I have honed my expertise through hands-on projects and by diligently referencing documentation, which has enabled me to become proficient in working with various APIs and frameworks. Currently, I am actively seeking summer internships or research opportunities to further enhance my knowledge and contribute to cutting-edge advancements in these fields.

Thribhuvan Rapolu

Current Research

Pose Estimation and Tracking from Video
Computer Vision Reinforcement Learning
  • Working on Physics Inspired Neural Networks to learn the dynamics of Human Pose
  • Developing a multi-model architecture where each model specializes in different aspects of human kinematic movement, using inter-model corrections to improve pose estimation accuracy and reduce tracking errors.
  • Integrating Reinforcement Learning framework to adapt to dynamic movements and enhance tracking precision in non-stationary conditions across video sequences.

Work Experience

Dell Technologies
Intern
  • Tools & technologies used: Python, Pandas, Langchain, Postgres, MongoDB, GitLab, CI/CD
  • Implemented semantic-based routing and text-image responses in a RAG chatbot using vector embeddings.
  • Built CI/CD pipeline for MongoDB || Explored fine-tuning LLM models
FaceIntel Technologies
Intern
  • Tools & technologies used: Python, Pandas, HTML, CSS, Javascript
  • Analyzed data from Excel files to extract meaningful insights, identifying key trends and patterns and used them to create a detailed web dashboard.

Education

B.Tech, Computer Science And Engineering
School/College: Mahindra University
CGPA: 8.71
Duration: 2021-2025
Relavant Course Work: Reinforcement Learning, Machine Learning, Control Systems, Digital Image Processing

Achievements

Contact

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