Deepak Battula

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.

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

B.Tech - Computer Science Engineering (Artificial Intelligence) - G Pullaiah College of Engineering and Technology (2023-09 - 2027-05)