S

SHAIK RAHULPASHA

Software Engineer

Hyderabad, Telangana, India0 mo experience

Key Highlights

  • Improved obstacle detection efficiency by 30%.
  • Mentored over 80 peers in data structures and algorithms.
  • Reduced setup time for AI agents by 60%.
Stackforce AI infers this person is a skilled developer in Automotive and Environmental Technology sectors.

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Skills

Core Skills

AdasPythonTestingSensor FusionData StructuresAlgorithmsMachine LearningModel Training

Other Skills

Algorithm DevelopmentC (Programming Language)C++CARLACPPCode DesignDebugging CodeDeep LearningGitHTMLJavaLinuxObject-Oriented Programming (OOP)PHP

About

Geethanjali College of Engineering and Technology graduate with a BTech in Computer Science and a focus on developing innovative simulation solutions. At KPIT, contributed to 15+ ADAS simulation scenarios using CARLA and Python, integrating virtual ECUs and improving obstacle detection efficiency by 30%. Enhanced testing pipelines through sensor fusion and CARLA-SUMO integration, boosting testing efficiency by 40%. Equipped with strong Python expertise and experience in agent-based simulations, actively mentored 80+ peers in data structures and algorithms. Skilled in building AI agents for automated scenario creation, reducing setup time by 60%. Committed to leveraging simulation engineering and machine learning to drive advancements in autonomous systems.

Experience

Kpit

2 roles

Associate Software Engineer

Apr 2024Jun 2025 · 1 yr 2 mos · Pune, Maharashtra, India

ADASCARLAPythonSensor Fusion

Internship

Nov 2023Apr 2024 · 5 mos · Pune, Maharashtra, India

Smart interviews

DSA Mentorship

Sep 2022Apr 2023 · 7 mos · Hyderabad, Telangana, India · On-site

  • Guided 80+ peers in mastering data structures and algorithms through structured mentoring sessions and code reviews.
  • Helped students write cleaner code and debug 25% faster through targeted mentorship.
Data StructuresAlgorithms

Regex software services

Machine Learning Intern

Jul 2021Oct 2021 · 3 mos · Remote

  • Collaborated with 3 peers to train ML models, using preprocessing and hyperparameter tuning to boost accuracy by 15%.
  • Trained a classification model for 5 garbage categories with 90%+ accuracy, enabling smart waste categorization.
Machine LearningModel Training

Education

Geethanjali College of Engineering and Technology

Bachelor of Technology - BTech — Computer Science

Jan 2019Jan 2023

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