Summary
Rajat Sharma is a software engineer with 11 years of experience specializing in data, MLOps, and cloud-native platform engineering, currently building scalable data and ML infrastructure at HolidayCheck AG in Berlin. He has driven end-to-end data lake and ML platform work across AWS and GCP, migrating cloud infrastructure to IaC with Terraform and enabling GitOps via Argo CD. Rajat pairs deep learning research (3D vision, depth fusion) with practical MLOps—designing reproducible pipelines using MLflow, Azure ML, Airflow and containerized deployments for edge inference on devices like Raspberry Pi. He’s delivered production-grade observability with Grafana/Prometheus on Kubernetes and operates critical systems such as Kafka, Elasticsearch, Airflow and DataHub for enterprise data cataloging. Comfortable as both consultant and researcher, he moves between prototyping (AR/Unity, mobile-to-cloud pipelines) and hardening platforms for scale. A pragmatic problem-solver, he often blends academic-grade deep learning techniques with engineering-first deployment practices to close the gap between experiments and production.
11 years of coding experience
4 years of employment as a software developer
Master's degree, Research in Computer and Systems Engineering., Master's degree, Research in Computer and Systems Engineering. at Technische Universität Ilmenau
12Th std., Science and Maths, 12Th std., Science and Maths at Montessorie cambridge school ,Raja ka bagh.
Engineer’s Degree, Electrical, Electronics and Communications Engineering, 7.7, Engineer’s Degree, Electrical, Electronics and Communications Engineering, 7.7 at Jaypee University of Engineering & Technology
Hindi, English