About

Aditya Soni is a skilled engineer with over 3 years of experience working at the intersection of data, software development, and machine learning engineering. He is well-versed in ML/DL/NLP, data science, statistics, and mathematics and is passionate about using his skills to improve people's lives. Aditya is a team player who enjoys collaborating with others to achieve shared goals. Currently working as a Machine Learning Engineer at Intuit, Aditya's responsibilities include working on platform level integrations to help people use Kubeflow/K8's seamlessly, putting models into production, and leveraging internal tools available on the MLP platform. Aditya's past experience includes working as a Machine Learning Engineer, Data & Software at Tabsquare, where he redesigned the existing RecSys API and created an end-to-end system to automatically bucket dishes into hierarchical classes based on a taxonomy. He also successfully created an internal data dish database that other teams will leverage in the future. Aditya's educational background includes a Bachelor of Technology in Information Technology from the Institute of Engineering and Management. He also has experience as a Teaching Assistant at mlcourse.ai, where he shared best practices for ML in production. Aditya is proficient in a wide range of technologies, including ML, AI, Python, NLP, software engineering, deep learning, PyTorch, AWS, GCP, backend development, Keras, Redis, Scikit, MongoDB, Pandas, DevOps, computer vision, Spark, Docker, and MySQL. With 4.36 years of relevant experience, Aditya is a Kaggle Competitions Master and has received several awards, including a Stunning Debut Award at Tabsquare.ai, a Top 3% Silver Medal at Riiid Q&A Kaggle, and an Innovation Pride Award at TCS(Apple). Aditya's passion for learning and self-improvement is evident in his LinkedIn profile, where he describes himself as a self-learner with ever-learning intentions.