Sreehari Pranesh
Cloud Engineer @ Mu-sigma | Generative AI | Azure Devops | GCP | Python | Kubernetes | Docker | Helm | Terraform
- Role
- Decision Scientist at Mu Sigma Inc.
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Sreehari Pranesh
I’m a Cloud Engineer at Mu Sigma with hands-on experience in Azure and GCP cloud…
Experience
Decision Scientist
Jun 2023 — Present · Bengaluru, IN
Client Network Analysis (Generative AI & Knowledge Graphs)Developed Neo4j-based graph enrichment pipelines integrated with LangChain for contextual reasoning and traceability. Built an ontology and contextual understanding framework using LinkedIn data via knowledge graph augmentation, enhancing relationship mapping and insights.MARS (AI Workflow – Computer Vision, NLP, NER)Contributed to Computer Vision and Natural Language Processing (NLP) modules with Named Entity Recognition (NER) for document intelligence workflows. Optimized model performance and deployed inference pipelines using Kubernetes for scalability.UCEP, GuruMitra, NJP, Cognitron (DevOps & Cloud Engineering)Led DevOps initiatives, developing 100+ CI/CD pipelines for Dev, QA, and Production environments using Azure DevOps. Built cloud-agnostic frameworks for Azure and GCP, enabling seamless multi-cloud deployment and 40% cost reduction through optimization of VMs, Kubernetes scaling, and storage. Automated cost and performance reporting and SonarQube notifications using Python and Playwright. Designed and maintained Kubernetes deployments using Helm and Terraform, integrated Grafana dashboards with Prometheus rules, and implemented blob cleanup and VM storage alerts. Hands-on with Azure Web Apps, Logic Apps, Key Vault, Blob Storage, and VM management for full-stack cloud operations.LLM Infrastructure & Cloud AutomationArchitected and deployed LLM infrastructures using VLLM deployment of Phi-4, Llama-3,Llama-3.1, Meta models with seamless scalability on Azure. Managed Kubernetes clusters across Dev, QA, and Production, automated Azure cost analysis via Python scripts, and configured GPU-based VMs to accelerate AI model training and inference, ensuring operational efficiency, scalability, and high availability.
Education
Sri Krishna College of Engineering and Technology
Bachelor of Information Technology
Tvs Matriculation Higher Secondary School
Schooling
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.