About Me

Amazon ML Scholar passionate about solving novel problems with state-of-the-art machine learning. AI-Driven Backend Engineer specializing in Python, FastAPI, and Retrieval-Augmented Generation pipelines. Architected a multi-LLM consensus engine improving accuracy by 23% and built a scalable RAG system achieving 92% accuracy for 1,000+ users. Proficient in Python, TensorFlow, Deep Learning, NLP, and RAG systems with a focus on delivering impactful, real-world results.