Machine Learning Intern

• Designed and built an end-to-end RAG pipeline: document ingestion, chunking, embedding generation, and vector retrieval.
• Built scalable REST APIs with FastAPI for RAG inference — query processing, retrieval, and LLM orchestration.
• Developed a React frontend for real-time querying and response display.

Research Intern

• Proposed a novel feature using the modulation spectrogram at vowel onset points for fake speech detection — outperforming existing baselines on standard datasets.
• Explored SFF and LFCC feature extraction with ML classifiers for spoofing detection.
• Built autoencoders to compress features from 128 → 16 dimensions, improving classification accuracy.