Shaurya

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• Exceptional technical aptitude in advanced AI/ML, particularly in Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG) systems, and large model optimization.
• Demonstrated ability to engineer and implement complex AI solutions, including a Hybrid RAG system and a Pandas agent-based AI assistant, with measurable impact on efficiency and performance.
• Proven track record in optimizing AI model processing pipelines and large-scale model training, resulting in significant cost savings and reduced processing times.
• Strong research capabilities evidenced by a publication on tokenizer flexibility and practical experience in developing bilingual Transformer models and high-quality instruct datasets.
• Proficiency with diverse AI/ML technologies and concepts such as TF-IDF, BM25, vector similarity, GraphDB, KV databases, model parallelism, and advanced optimizers (SM3/LION).