Rahul Temp

Engineered LLM-powered automation tools for automotive voice AI platforms, cutting manual effort by 15 hours per week. Architected and deployed NLU-based intent recognition systems in Python and C++ for production clients.

Automated Azure DevOps pipelines reducing deployment effort by 40%. Extended the Backstage developer platform using React and Node.js, adopted by 3 engineering teams.

Reduced load times by 25% via pagination and UI optimisation. Authored reusable React components used across 10 or more application screens.

Grade: 8.60/10

Activities and societies: Relevant coursework: Machine Learning, Algorithm Design, Theory of Computation, Data Structures and Algorithms, Discrete Mathematics, Linear Algebra, Probability and Statistics, Advanced Data Structures, Stochastic Processes

B.Tech in Mathematics and Computing with GPA 8.60/10. Branch changed from Mechanical Engineering to Mathematics and Computing after Year 1 based on academic performance.

Grade: 8.60/10

Activities and societies: Relevant coursework: Machine Learning, Algorithm Design, Theory of Computation, Data Structures and Algorithms, Discrete Mathematics, Linear Algebra, Probability and Statistics, Advanced Data Structures, Stochastic Processes

B.Tech in Mathematics and Computing with GPA 8.60/10. Branch changed from Mechanical Engineering to Mathematics and Computing after Year 1 based on academic performance.

Summer Research Fellow under Dr. Sahely Bhadra. Studied automated fault detection in multi-channel passive sonar hydrophone arrays by cleaning and preprocessing sensor data across 65 channels.

Summer Research Fellow under Dr. Sahely Bhadra. Studied automated fault detection in multi-channel passive sonar hydrophone arrays, applying RMS and RMSCR threshold-based detection algorithms.