Aakansha Dhawan

I am a passionate and driven software engineer with a strong foundation in machine learning and data analytics. Currently, I work at JPMorgan as a Software Engineer, where I develop and support a Portfolio Management App for a fintech company, enabling users to track and manage their investments effectively. I hold a Master's degree in Machine Learning from the University of Nottingham and a Bachelor's degree in Computer Science and Engineering from CSJM University.

My professional journey includes roles such as Machine Learning Engineer at the University of Nottingham, where I developed end-to-end machine learning pipelines using TensorFlow Extended (TFX). I also served as an API Developer at QueensUS, creating REST APIs on AWS and leading the transition to microservices architecture. At Gnani.ai, I worked as a Backend NLP Developer, designing frameworks to improve voice bot accuracy and developing conversational voice bots for major insurance companies.

I am proficient in a wide range of programming languages, including Python, JavaScript, and Java, and have expertise in machine learning libraries such as TensorFlow, Keras, and Scikit-Learn. My experience also includes working with various tools and platforms like Git, Docker, and AWS. I am committed to leveraging technology to solve real-world problems and continuously seek opportunities to grow and innovate in my career.