Deepak Battula
Final-year B.Tech student in Computer Science Engineering (Artificial Intelligence)
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About
Final-year B.Tech student in Computer Science Engineering (Artificial Intelligence) with experience building machine learning models, explainable AI systems, and AI-powered applications. Contributed to reliability-aware traffic severity framework, an IEEE conference manuscript. Interested in Machine Learning Engineering, Applied AI, and Data Science.
Experience
App Developer Intern - Onyatrips
(2026-07 - 2026-09)
- Working on onyatrips app development using Flutter
AI Application Developer Intern - Rejolt EdTech
(2025-09 - 2026-02)
- Conducted machine learning experimentation on large-scale traffic accident datasets using Python and scikit-learn.
- Developed a reliability-aware framework for vehicular accident severity prediction using Random Forest models, Proposed a Relative Reliability Index (RRI) to improve confidence estimation
- Integrated explainability techniques and rule-based safety recommendations to support interpretable decision-making. Contributed to the preparation of an IEEE conference research manuscript.
Data Science Intern (AICTE EduSkills Program) - Data Science Master Virtual Intern - Siemens
- Completed training in data preprocessing, EDA and machine learning in rapid miner
Education
B.Tech - Computer Science Engineering (Artificial Intelligence) - G Pullaiah College of Engineering and Technology (2023-09 - 2027-05)
