rahulpaul

Evaluated differences in performance across 13+ multimodal systems and models in real-world, long-form conversations to identify the difference in failure patterns like cutoffs, TTS (text-to-speech) barge-ins, and failures to handle interruptions on various smart devices, and rated them across several dimensions while critically analysing their failure points and strengths.

Evaluated differences in performance across 13+ multimodal systems and models in real-world, long-form conversations to identify the difference in failure patterns like cutoffs, TTS (text-to-speech) barge-ins, and failures to handle interruptions on various smart devices, and rated them across several dimensions while critically analysing their failure points and strengths.

Compared, contrasted, and performed detailed analysis of 200+ AI responses to critically analyse minute flaws in AI responses and suggest improvements thus improving model metric performances. Critically analysed transcription, image, video sequence, and audio generated data to lead towards better human-like responses on the basis of various metrics which include cadence, intonation, apocope, elision, tonality, timbre, artifacts, jitter, and distortion.

Developed ML-driven IoT data system for gas sensing project. Built real-time data pipelines using ReactJS, NodeJS, and TensorFlowJS to process sensor data. Designed interactive dashboards using React.js for live monitoring and analysis. Improved signal accuracy by 15% through data filtering and calibration techniques. Maintained thorough records of experimental setups, procedures, and outcomes, ensuring full traceability of results for ISRO audits; documentation is now used by over 20 engineers for training purposes.

Catalyzed a 15% grade improvement for ten students through targeted one-on-one mentorship, focused on real-world application of programming concepts and ensuring thorough comprehension of complex topics. Taught core computer science subjects with focus on practical implementation. Developed structured lesson plans aligned with university curriculum. Created assignments emphasizing real-world application of programming concepts. Mentored students and supported academic performance improvement.

Delivered IT and data analysis courses and mentored 3000+ undergraduate students. Trained students in Excel for data analysis and practical problem-solving. Designed practical assignments to improve hands-on learning and technical skills. Conducted assessments and managed large-scale examinations efficiently.