Rakeshnag Dasari

About Rakeshnag Dasari

Experienced Specialist with a demonstrated history of working in the Government/financial/Telecom/Education/Fleet/Health services Matrix :Cloud - Azure, AWS – Amazon Web Services, Oracle, Rancher, GCP.Hybrid Cloud (Private & Public Cloud)- Kubernetes, Rancher.ML Ops - AWS Sagemaker, DVC, Feature Store, mlflow, model registry, Azure AI Studio, Vertex AI.LLM Orchestration: NLTK, Langchain, Transformers, huggingface.Gen AI: GPT, T5, BERT, Manus, Claude.AgenticAI: n8n, Copilot, AWS BedrockRevOps: Clay.com, Apify, bright data, Rapid API, Hubspot, Apollo.io, outreach, salesforce, rocketreach.Data Analytics (Data Science)- Python.Ldap Directories -Microsoft Active Directory, Tivoli Directory Server, NDS/Novell eDirectory, Database - Oracle 8i/9i/10g/11g/12c, Mongo DB, MS SQL, MySqlCache - Reddis, Oracle CoherenceProtocols : TCP/IP, UDP, SMTP, FTP, TELNET, DHCP.Web Servers & Load Balancers - Http Apache 2.0, Oracle Http Server 11.1.1.6/7, 12c, BIG IP F5 - iRulesApplication Servers - Oracle WebLogic 8x/9x/10x/11g/12c, WebSphere 7.x/8.x/9.x, JBoss EAP 6x/7x, Tomcat 8x/9x.Oracle Middleware/Integration stack - SOA, OSB, BPM, BAM,WebCenter, OID, OAM, OIM, OUD, OVD, Oracle HTTP, RedHat Jboss, IBM WebSphere 7.x / 8.xSSO Single Sign On - Oracle OIAM stackVersion Control Tools - CVS, SVN, CSVN, GIT, BitBucket, DVC Languages - Java, Python.NET, SQL.Operating Systems - Windows HP-UX, sun solaris, Redhat Linux, IBM AIX. Containerization technologies - Docker, K8s – Kubernetes, RancherAutomation & DevOps tools - Shell, Ansible, Vagrant, terraform, Cloud formation, Jenkins, Bamboo, CI/CD/CT pipelinesITIL - Problem, Incident, Change managementSDM - Service Delivery Management SRE – Site Reliability Engineering - Chaos Engineering, Failure Injection SLOs, Blameless Post-mortems, Measure reliability, Measure durability, Measure time to detection, Measure time to attack, Measure time to recovery, Measure time to halt, Reduce costs of failure, Job AutomationsInfra Architecture, Cloud ArchitecturePre-Sales presenter and organiser. Good in dealing with clients face to face.Disaster Recovery strategy implementor.Team Management / Project Management - MS Project Planner, Azure DevOps Boards.Security - SSL & TLS, Certificates, openssl, Venafi-Aperture, F5- LTM, Docker Image scanning - SonarQube X-Ray, ZAP, Fortify, BURP Suite.Monitoring Tools - Dynatrace, PrometheusTracing - Fiddler, ncap, JaegerLogging - Kibana, ELK.Dashboards - Grafana, Dynatrace.

Experience

1. Sr Mlops Devsecops Lead Sr Sre Gen Ai Llm Ops

   State of New Jersey

   Apr 2023 — Present · NJ, US

   Responsibilities:• Deploy and maintain documentation for MLOps processes, infrastructure configurations, and API specifications.• Lead troubleshooting efforts for LLM-related issues, collaborating with cross-functional teams to resolve complex technical challenges.• Automate provisioning and orchestration of LLM infrastructure using infrastructure-as-code tools like Terraform or CloudFormation.• Implement security best practices for LLM deployments on AWS, including data encryption, access control, and compliance with industry standards.• Automate testing, deployment, and validation processes within CI/CD pipelines to accelerate LLM deployment cycles.• Architect solutions for multi-region deployment of LLMs to ensure global availability and compliance with local data residency requirements.• Create AI solutions using Azure OpenAI, focusing on MLOps, ML model deployments, endpoints, and lifecycle management.• Train AI models and implement monitoring and update strategies over time.• Participate in design and architecture reviews to ensure scalability, reliability, and maintainability of LLM systems.• Implemented Kubernetes clusters on Azure and AWS, resulting in improved scalability and reduced infrastructure costs.• Developed and maintained CI/CD/CT pipelines using Azure DevOps and Repo’s, resulting in faster and more reliable deployments.• Experience with laying out and troubleshooting CI/CD pipelines and automation tools such as Jenkins• Designed and implemented monitoring and alerting solutions using Prometheus, and Grafana, resulting in improved observability and reduced downtime.Environment: Azure DevOps,Repo’s, Boards, Pipelines, Azure AI Studio, HCL Scan App, Kubernetes, Docker, Ansible, Terraform,OCI, Prometheus & Grafana, Git, Jenkins, Jira, Confluence, ML Flow, AWS Control Tower, Lambda, CodeCommit, CodePipeline, CodeDeploy, Sonatype Nexus, Langchain, NLTK, Transformers, Huggingface

Education

• Bapatla engineering College

  Bachelor of Technology - BTech, Electrical and Electronics Engineering

  2004 — 2008

• Acharya Nagarjuna University (ANU), Guntur

  Doctor of Philosophy - PhD, AI-Powered Cloud Security

• Acharya Nagarjuna University

  Master of Technology - MTech, Computer science and Engineering