Sonali Srijan is a skilled AI engineer with a strong background in machine learning and data science. Currently serving as a Senior AI Engineer at EvolutionIQ since October 2025, previously held the role of Sr. Machine Learning Engineer at Quantiphi, where work focused on fine-tuning large language models for legal document tagging. At Amazon, Sonali contributed to Acoustic Event Detection under Alexa by training deep learning models and improving data sampling strategies. As a Graduate Research Assistant at Purdue University, Sonali developed ML-based models for plant transcriptome classification. Experience also includes an internship at Bayer Crop Science, developing regression models for yield prediction, and a consultancy role at Ford Motor Company, tackling Natural Language Processing challenges. Sonali holds a Master's degree in Computer Science and Statistics from Purdue University and a Bachelor of Technology in Bioengineering and Biomedical Engineering from the Indian Institute of Technology, Roorkee.
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