About

Mahesh Ambule is an experienced Software Engineer with a passion for solving complex problems in data analytics, big data, and machine learning. With over 11 years of relevant experience, Mahesh has worked on some amazing products, including an end-to-end data analytics platform, an open-source deep learning compiler, and open-source deep learning model servers. Mahesh is an active contributor to open-source projects, including Apache TVM, a deep learning compiler stack, TorchServe, a PyTorch model server, and MMS, a DL model server. He has also contributed to several other open-source projects on GitHub. Mahesh's skill set includes expertise in Python, intermediate knowledge of Java, and beginner-level knowledge of C++. He is familiar with OO design, design patterns, TDD, and functional programming methodologies. He has experience working with libraries and tools such as Flask, GUnicorn, Redis, ANTLR, Pylint, and Gradle. In the big data space, Mahesh has experience working with Spark, Hive, Pig, Impala, Snowflake, and Map Reduce. In the ML/DL space, he has worked with PyTorch, TensorFlow, MXNET, ONNX, and SparkML. He is proficient in operating systems such as Linux (Ubuntu, CentOS), MacOS, and Windows. He has also worked with cloud technologies such as AWS (EC2, RDS, CodeBuild, Athena) and Azure (Pipelines). Currently working as a Lead Backend Engineer at Prodigal, Mahesh has previously worked with Persistent Systems and Accelerite as a Product Engineer. He holds a Bachelor of Engineering degree in Computer Science from Government College of Engineering, Aurangabad. In summary, Mahesh Ambule is a highly skilled Software Engineer with expertise in backend development, deep learning, big data, Python, Java, AWS, PyTorch, and ML. He is a passionate open-source contributor and has experience working with various operating systems and cloud technologies.