Rahulroshan Sahoo — DevOps Engineer

I work with AI/ML systems and modern data platforms, focusing on reliable, scalable solutions. With 15+ years of experience, I've contributed to data infrastructure from traditional databases to modern AI platforms. Currently working on AI and data platform initiatives at FDJ United in Stockholm. AI/ML Infrastructure Experience • Multi-Agent AI Systems: Contributing to system with 7+ specialized agents (Bug Fix, Feature Implementation, Refactoring, Test Generation) with orchestrator and human oversight, integrated with Jira/Git • AWS Bedrock Implementation: Working on production platform with cost monitoring and optimization • Enterprise AI Interface: Built LibreChat, in-house ChatGPT-like interface for secure enterprise AI access • RAG & Semantic Search: Developed pgvector-based RAG API for document search and AI responses Data Platform Contributions • Data Lakehouse: Working with Trino, ClickHouse, Redshift, and Apache Iceberg for improved query performance • Streaming Platforms: Managing Apache Kafka platform on AWS MSK for high-volume event processing • Data Orchestration: Using Airflow, DBT, and Cube.js to support data teams • Platform Migration: Participated in Hadoop to cloud-native transition with cost optimization AWS Cloud Platform Ownership • Complete AWS Management: Managing entire AWS accounts for data infrastructure, security, and cost optimization • Managed Services: Own AWS MSK (Kafka), EMR clusters, Redshift, S3 data lakes, Glue ETL, Sagemaker, Bedrock • Unmanaged Services: Managing ClickHouse clusters, Trino coordinators, custom applications on EC2 • Kubernetes/EKS: Maintaining production EKS clusters with monitoring and scaling • Infrastructure as Code: Creating Terraform modules for consistent deployments Technical Skills AI/ML: Multi-Agent Systems | AWS Bedrock | RAG | LangChain | Claude | LibreChat | Sagemaker Data: Trino | ClickHouse | Apache Iceberg | Kafka (MSK) | DBT | Airflow | EMR AWS: MSK | EMR | Redshift | S3 | Glue | Bedrock | EKS | EC2 | IAM Infra: Kubernetes | Docker | Terraform | Helm | Python | SQL From Oracle databases → Big Data/Hadoop → DevOps → Cloud → Data Engineering → Hybrid AI/Machine learning platforms - I've had the opportunity to evolve with technology and solve complex infrastructure challenges at enterprise scale. Always interested in learning about new approaches to AI infrastructure, data platform architecture, and scalable system design.

Stackforce AI infers this person is a SaaS-focused AI/ML and Data Engineering expert.

Location: Stockholm, Stockholm County, Sweden

Experience: 15 yrs 4 mos