Shivam Singh Rawat

Experience

• 

  Mercedes-Benz Research and Development India

  Mar 2022 - now

  * Data Engineering 🌐: Currently working on building scalable data pipelines for large scale labeling related data export.* AuthnAuth 🔐: Integrated FastAPI toolchain to organization SSO PingID by learning JWT, OIDC, dPoP, roles and permissions and related auth concepts.* Full-Stack Web Application Development 💻: Collaborated with a team of 3 to develop a full-stack web application using FastAPI 🚀, React ⚛️, and MongoDB 🍃 for versioning and managing large documents. This project involved designing the architecture, implementing core features, and ensuring seamless integration between frontend and backend. * CI/CD Pipeline Development (GCP) ☁️: Implemented a robust CI/CD pipeline using GitLab CI 🤖 to automate the build process for FastAPI and React applications. This included building Docker images 🐳 and pushing them to Google Cloud Platform (GCP) image registries, enabling efficient and reliable deployments. * On-Premise CI/CD Automation ⚙️: Established a Jenkins slave on an on-premise server 🏢 and designed a CI/CD pipeline triggered by Bitbucket hooks 🪝. This pipeline automated the building of Docker images and deployment of containers for full-stack web applications on these servers, streamlining the release process. * Workflow Automation with Apache Airflow 💨: Set up Apache Airflow on an on-premise server 🏢 and automated multiple long-running scripts 🐍. Developed Django APIs to provide both manual and scheduled triggers for Airflow tasks, enabling efficient execution and logging of Python script runs. * UI Templating Innovation ✨: Introduced the concept of UI templating by storing UI structure as JSON in the database 🗄️. This approach made the UI reusable, versatile, and adaptable to changing requirements, significantly improving development efficiency. * Performance Optimization ⚡: Rewrote the metadata collection tool in Flask 🧪. This optimization improved data processing speed and resource utilization. Show less * Full-Stack Development of Metadata Collection Tool 🛠️: Led the end-to-end development of the metadata collection tool as a full-stack web developer, from concept to deployment. This involved designing the architecture, implementing features, and ensuring seamless integration between frontend and backend. * Data Collection Optimization 🚀: Significantly reduced data collection time by optimizing metadata entry processes. Implemented intuitive and useful autofill features to minimize manual data entry effort, leading to improved efficiency and user experience. * User-Centric Approach 🤝: Actively solicited feedback from users and stakeholders, ensuring timely delivery of requirements and a product that met their needs. This collaborative approach fostered strong relationships and resulted in a highly effective tool. * Cross-Functional Collaboration 🤝: Effectively catered to the needs of multiple teams, including cross-departmental collaboration. This required strong communication and coordination skills to ensure alignment and successful project delivery. * MLOps Platform Maintenance ⚙️: Maintained an MLOps platform as a backend engineer, ensuring its smooth operation and reliability. This involved troubleshooting issues, implementing updates, and monitoring performance. * ML Model Statistics Integration 📊: Collaborated closely with a senior frontend engineer to provide meaningful machine learning (ML) model-related statistics. This involved designing and implementing APIs to expose relevant data for visualization and analysis. * Platform Migration for Scalability ⬆️: Migrated the MLOps platform to a more robust in-house server, significantly increasing its scalability and performance. This ensured the platform could handle growing data volumes and user traffic. Show less * Decentralized Identity (DID) Proof of Concept 💡: Led a proof-of-concept project exploring the implementation of decentralized identity (DID) on blockchain. This involved researching and experimenting with various approaches to leverage blockchain technology for secure and self-sovereign identity management. * Hyperledger Indy Research 🔍: Conducted in-depth research on Hyperledger Indy, a distributed ledger technology (DLT) platform specifically designed for digital identity and zero-knowledge proofs (ZKPs). This included evaluating its capabilities, strengths, and limitations for real-world identity solutions. * Integration Exploration 🔗: Investigated the integration of Hyperledger Indy with commonly used identification and security methods. This involved exploring potential synergies and challenges in combining existing systems with blockchain-based identity solutions. Show less

  • Engineer

    Jul 2023 - now

  • Graduate Engineer Trainee

    Aug 2022 - Jul 2023

  • Student Trainee Intern

    Mar 2022 - Jul 2022