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Schedule Interview NowMy name is Shivayogimath D. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Python, Java, Selenium WebDriver, Kubernetes, Machine Learning, etc.. I hold a degree in Bachelor's degree, Bachelor's degree, Master's degree. Some of the notable projects I’ve worked on include: End-to-End MLOps & Kubernetes Deployment for AI-driven Text Analytics, Reusable CI/CD Pipeline for EKS with GitHub Actions. I am based in Bengaluru, India. I've successfully completed 2 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
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Cognizant Technology Solutions
I designed and implemented a production-grade AI/ML system deployed on AWS EKS with full MLOps automation. The system ingests unstructured ITSM ticket data, processes it with semantic text analytics, and predicts categories using machine learning models like FastText and DistilBERT. Key Deliverables End-to-end data preprocessing, training, deployment, and monitoring pipeline Reusable CI/CD template for deploying any ML model into Kubernetes Production-ready ML models integrated into dashboards for visualization Parameterization-first deployments (ConfigMaps, Secrets, Variables)
Kubernetes manifests for Deployments, Services, Ingress. Terraform scripts to manage IAM roles, policies, permissions. Parameterization Centralized file to define app-specific details (image name, namespace, replicas). Containerization Reusable Dockerfile templates for microservices. Automatic image build , push to Amazon ECR. GitHub Actions Workflow , handles build → test → push → deploy. Secure Secret Management GitHub Secrets integrated , Terraform-managed IAM roles. Scalability Works for multiple repos , services. Can deploy multiple namespaces (dev, staging, prod) using the same pipeline.
Bachelor's degree in
Bachelor's degree in
Master's degree in AIMLOPS