Ajay Chinni Email & Phone Number

As a Machine Learning Engineer at Quantiphi, I apply natural language processing and computer vision techniques to automate document extraction, optimize supply chains, and enhance user experience. I have worked with more than 100 different templates of structured and unstructured documents, including multilingual and handwritten texts, and created end-to-end pipelines from batch upload to data storage. I have also implemented time series models across 250 products and 5000 stores in the USA, resulting in 50% reduction in warehouse stockpile and increased delivery speeds.Previously, I was a Product Development Engineer at Phenom People, where I deployed machine learning models and implemented extensive UI features for HR operations. I used seq2seq, attention mechanism, and Bert algorithms to enable autocorrect and autocomplete functions. I also designed and implemented process monitoring and optimization solutions using PM4Py, and reduced server load by 60% by creating an optimized scheduler to pull jobs. Additionally, I designed distributed algorithms for identifying trends in unstructured large data using Pyspark, and achieved a tenfold decrease in website build times by creating an ML pipeline to convert text to HTML. I hold a Bachelor of Technology degree in Computer Science from Lovely Professional University, where I learned the fundamentals of machine learning algorithms, recurrent neural networks, and feature engineering. I am passionate about solving real-world problems with machine learning, natural language processing, and computer vision, and I am always eager to learn new skills and technologies in this domain.

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  Lovely Professional University

  Computer Science