Saransh Mehta is an AI/ML lead with nine years of experience building production-grade NLP and generative AI systems, currently driving Conversational AI and RAG pipelines. He has shipped end-to-end services at Oracle—including a cloud NER service with MLOps, Kubernetes deployments, and two filed patents for GPU inference and hierarchical NER—and now leads AI work at GIST Impact. His technical breadth spans LLM fine-tuning with LoRA, agent/tool-based LLMs, vector search (FAISS), embeddings, synthetic image generation with Stable Diffusion, and practical CI/CD for ML. Saransh also open-sourced a multitask NLP toolkit and co-authored a Deep Learning book, reflecting both engineering and teaching instincts. A detail that sets him apart: he has applied adapter-based multilingual strategies and self-supervised triplet loss to preserve cross-lingual performance and improve embedding clustering for intent discovery.
9 years of coding experience
6 years of employment as a software developer
B.Tech Electronics and telecommunication, B.Tech Electronics and telecommunication at National Institute of Technology Raipur
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