About

Shivam Solanki is a highly skilled Machine Learning Engineer with a passion for Competitive Programming, Deep Learning, Machine Learning, and Artificial Intelligence. He is currently working at VerSe Innovation as an MLE, where he is part of a team responsible for building Ads personalization for approximately 100 million users on DailyHunt and Josh app. Shivam has a wealth of experience working with various tech stacks, including AWS, GCP, and Azure, and is well-versed in several features such as Vertex AI, AI Platform, Big Query, Compute Engine, Load Balancer, Analytics, Retail API/Recommendations AI, GCS, IAM in GCP, Fargate, SageMaker, EC2, Lambda, ECS, AWS Personalise, among others. He has also set up a Machine Learning SDLC service known as MLFLOW to monitor ongoing ML projects and log their metrics while maintaining versioning of the ML models. With 2.70 years of relevant experience, Shivam has worked on several projects, including feed personalization, which gave users a feed based on their preferences and interests. He has also monitored metrics and worked on RCA and POC of such ML models that were in production and were successful in improving their metrics. Shivam has optimized many data preprocessing and gathering pipelines using Dask and Spark and general optimization techniques in Python and SQL by analyzing their runtimes. Shivam is an experienced team player and has worked on both team and standalone projects. He has mentored and hired freshers and guided them in different projects. Shivam has also written medium blogs documentation on GitLab, recorded Live Sessions, and worked on various research/standalone projects inside Trell, which have been used in production and scaled accordingly. Shivam has a B.Tech in Computer Science from Manipal University Jaipur and completed his 10th and 12th from Amity University with 9.6 and 90% respectively. His tech stack includes ML, AI, Deep Learning, Python, Data Scientist, Computer Vision, GCP, AWS, SQL, Sagemaker, ECS, Research Scientist, Spark, Scikit, Tensorflow, Azure, Software Engineer, RNN, Docker, Mobile, and more.