Rishi Yadav has a strong background in research and development, particularly in the field of speech recognition and natural language processing. Rishi started their career at Oracle as an Application Developer, where they successfully resolved numerous bugs and errors, and received recognition for their contributions to web app performance enhancements.
Rishi then joined Mihup Communications Private Limited, where they served as a Machine Learning Scientist and later as a Team Lead in Research and Development. During their time there, they developed speech recognition engines for clients in the banking and finance industry, leading to an increase in sales leads. Rishi also built complex NLP solutions using classical ML and deep learning techniques, solving unique business problems in the contact center space.
Most recently, Rishi worked at Swiggy as a Research Scientist II. Rishi led the Speaker Diarization (SD) capability research and development, delivering four model releases for an in-house SD service with state-of-the-art accuracy and computation latency. Rishi also led POC stage projects for the AI team, managing stakeholder communication and ensuring seamless integration with an external partner product.
Overall, Rishi Yadav has a diverse range of experiences in research, development, and problem-solving, particularly in the fields of speech recognition, NLP, and AI solutions.
Rishi Yadav completed their education with a Bachelor of Technology in Electronics and Communications Engineering from the Indian Institute of Technology, Roorkee in 2015. Rishi then pursued a Master of Technology in Electronic and Communications Engineering Technology/Technician from the same institute, graduating in 2016. Prior to their higher education, Rishi attended Delhi Public School in Faridabad from 2007 to 2011, although the specific degree and field of study during this period are not provided.
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