Yashitha Vilasagarapu

Yashitha Vilasagarapu

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Machine Learning Engineer | Actively Seeking for Full-Time Opportunities | Grad @UC
Florida, United States

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Résumé


Jobs verified_user 0% verified
  • Cerebras Systems
    Machine Learning Engineer
    Cerebras Systems
    Aug 2023 - Current (3 years 2 months)
    Led the development of AI-powered solutions in building fraud detection models and customer service automation using AWS SageMaker, Lambda, and Bedrock. I integrated Retrieval-Augmented Generation (RAG) with LangChain, Pinecone, and prompt-engineered LLMs to enhance chatbot performance, reducing response times by 60% and improving relevance by 90%. I also developed churn prediction models and automated generative pipelines using Hugging Face Transformers and DALL·E for marketing content, increasing retention and cutting design time.
  • Cerebras Systems
    Machine Learning Engineer
    Cerebras Systems
    Aug 2023 - Current (3 years 2 months)
    Led the development of AI-powered solutions in building fraud detection models and customer service automation using AWS SageMaker, Lambda, and Bedrock. I integrated Retrieval-Augmented Generation (RAG) with LangChain, Pinecone, and prompt-engineered LLMs to enhance chatbot performance, reducing response times by 60% and improving relevance by 90%. I also developed churn prediction models and automated generative pipelines using Hugging Face Transformers and DALL·E for marketing content, increasing retention and cutting design time.
  • S
    Software Developer
    May 2020 - Jul 2022 (2 years 3 months)
    At Qure.AI, I developed a disease prediction and treatment recommendation system using NLP, time series analysis, and machine learning models like XGBoost. I built models to predict disease outbreak probabilities based on electronic health records, surveillance data, and external factors such as climate and population density—improving detection accuracy by 20%. Additionally, I designed a domain-specific expert system to enable conversational AI for treatment guidance, leveraging spaCy for clinical named entity recognition (NER). I worked closely with medical professionals to validate the clinical relevance of the system and optimize its performance for
Education verified_user 0% verified
  • University of Cincinnati
    Master of Engineering - MEng, Computer Science
    University of Cincinnati
    Jan 2022 - Dec 2024 (3 years)
    Courses:- Advanced Algorithms Cloud Computing Operating Systems Large Scale Software Engineering Data Encoding Network Science Software Test & QA
  • KL University
    Bachelor of Technology - BTech, Computer Science
    KL University
    Jan 2018 - Dec 2022 (5 years)