About

Rohan Sharma is a proficient ML Engineer and Research Scientist with over 5 years of experience in the field. He is currently working as a Senior Data Scientist at Thoughtworks, where he is designing an end-to-end ML lifecycle for a banking client that serves billions of requests per day. His responsibilities include building an AutoML service for custom training using ML orchestration platforms, integrating experiment tracking and model registry for versioning experiments and models, versioning data using Feature stores, testing data and model pipelines, and centralizing logging using ELK. Rohan has an extensive skillset that includes algorithm optimization, ML lifecycle, design, and architecture. He is proficient in various technologies such as Python, Pytorch, FastAI, Keras, H2O.ai, Hive, PySpark, SQL, AWS, MLFlow, Kubeflow/Airflow, ONNX, Docker/K8s, and Kafka. He has experience in NLP, DL, and Big Data, and has worked on tasks such as experiments tracking, model monitoring, behavioral testing, inference acceleration, and model compression. Prior to joining Thoughtworks, Rohan worked as a Data Scientist at UnitedHealth and as a Consultant (Machine learning) at Cardekho. He holds a Bachelor of Technology degree from Jamia Millia Islamia. Rohan is a highly skilled and experienced professional who is passionate about delivering high-quality ML solutions to his clients. He is a quick learner and has a strong problem-solving ability, which makes him an asset to any team. He is always seeking new challenges and opportunities to expand his knowledge and skills in the field.