Saigirish Vadlathala
AI/ML Engineer | Generative AI & LLMs | MLOps | Cloud (AWS | GCP | Azure) | Databricks | Building Scalable AI Solutions
- Role
- Full-stack Developer at IBM
- Location
- Denver, CO, US
- LinkedIn followers
- 500 followers
About Saigirish Vadlathala
I am an AI/ML Engineer with 4+ years of experience designing, deploying, and scaling…
Experience
Full-stack Developer
Aug 2024 — Present · US
Architected and deployed cloud-native, event-driven microservices using Spring Boot, Docker, and Kubernetes (EKS), enabling horizontal scalability and reducing downtime by 40% across multi-tenant environments.• Designed and built responsive, role-based frontend dashboards using React.js, Redux Toolkit, and Tailwind CSS, improving session engagement and client satisfaction scores by 25%.• Provisioned cloud infrastructure with Terraform and managed deployments across AWS services (EC2, Lambda, API Gateway, S3), reducing environment setup time by 70% and ensuring infrastructure-as-code consistency.• Developed and maintained secure CI/CD pipelines using GitHub Actions, Jenkins X, and integrated JUnit, SonarQube, and Selenium testing, enabling faster, reliable, and rollback-safe releases.• Implemented centralized logging and observability using ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus, and Grafana, reducing mean time to resolution (MTTR) by 30% during production incidents.• Enforced DevSecOps practices by integrating IAM-based policies, security scanners, and code quality gates in CI workflows, ensuring compliance with OWASP and minimizing release vulnerabilities.• Collaborated with distributed Agile teams via JIRA, Confluence, and Slack, driving sprint velocity and improving delivery timelines by 20% through better backlog grooming and planning sessions.
Education
University of Colorado Colorado Springs
Master of Science - MS
Jawaharlal Nehru Technological University Hyderabad (JNTUH)
B.Tech, Information Technology
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