Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I'm a Senior Backend Developer with over 10 years of experience, strong DevOps skills, and deep knowledge of AI engineering. I value healthy, collaborative culture and practice clear communication, ownership, and a blameless learning mindset so teams move fast and deliver real value. I thrive on building reliable, scalable systems, mentoring others, and aligning technical decisions with business goals. I enjoy bridging backend, platform, and devops domains to ship robust software while maintaining a healthy, sustainable pace for the team.…I'm a Senior Backend Developer with over 10 years of experience, strong DevOps skills, and deep knowledge of AI engineering. I value healthy, collaborative culture and practice clear communication, ownership, and a blameless learning mindset so teams move fast and deliver real value. I thrive on building reliable, scalable systems, mentoring others, and aligning technical decisions with business goals. I enjoy bridging backend, platform, and devops domains to ship robust software while maintaining a healthy, sustainable pace for the team.

Roran Brian

Back-End Developer, Full Stack Developer, DevOps Developer, +7





I'm a Senior Backend Developer with over 10 years of experience, strong DevOps skills, and deep knowledge of AI engineering. I value healthy, collaborative culture and practice clear communication, ownership, and a blameless learning mindset so teams move fast and deliver real value. I thrive on building reliable, scalable systems, mentoring others, and aligning technical decisions with business goals. I enjoy bridging backend, platform, and devops domains to ship robust software while maintaining a healthy, sustainable pace for the team.…I'm a Senior Backend Developer with over 10 years of experience, strong DevOps skills, and deep knowledge of AI engineering. I value healthy, collaborative culture and practice clear communication, ownership, and a blameless learning mindset so teams move fast and deliver real value. I thrive on building reliable, scalable systems, mentoring others, and aligning technical decisions with business goals. I enjoy bridging backend, platform, and devops domains to ship robust software while maintaining a healthy, sustainable pace for the team.

Available to hire

I’m a Senior Backend Developer with over 10 years of experience, strong DevOps skills, and deep knowledge of AI engineering. I value healthy, collaborative culture and practice clear communication, ownership, and a blameless learning mindset so teams move fast and deliver real value.

I thrive on building reliable, scalable systems, mentoring others, and aligning technical decisions with business goals. I enjoy bridging backend, platform, and devops domains to ship robust software while maintaining a healthy, sustainable pace for the team.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Javanese

Advanced

Work Experience

Software Engineer Lead at Shell

September 1, 2024 - November 11, 2025

Built scalable data pipelines and real-time models to enhance inventory and order management systems using NLP techniques for data extraction and classification from unstructured data sources. Implemented batch and stream-based ETL processes in Go and Apache Kafka; architected AI-powered services with NLP models (spaCy, transformers, TensorFlow) for customer interaction analysis. Developed and deployed high-performance Go microservices for AI inference, reducing latency for predictive customer analytics. Integrated LLMs (GPT-3/4, BERT) for real-time text classification and sentiment analysis. Used AWS CDK (Python) to orchestrate AI deployments and served TensorFlow models via TensorFlow Serving in a cloud-native environment. Optimized ML pipelines with Dask and Ray; integrated PostgreSQL and DynamoDB for structured/unstructured data, enabling ML training from diverse sources. Implemented secure access with OAuth 2.0.

Senior Software Engineer at Artisan AI

October 1, 2024 - October 1, 2024

Developed high-throughput AI inference gateways using Go, gRPC, and Protobuf for real-time decision-making and customer interaction analytics. Built NLP-driven RAG models with pgvector and Redis for document retrieval. Created real-time AI feature extraction pipelines (Kafka → Go consumers → S3/Parquet), reducing training data freshness from 24 hours to 5 minutes. Implemented transformer-based models (BERT, T5) with HuggingFace transformers and deployed via TensorFlow Serving and KServe. Led AI/ML model fine-tuning with LoRA and CUDA containers, achieving a +21% performance boost for GPT-4 fine-tuning. Developed data pipelines for Generative AI and Text-to-Image models (Stable Diffusion, CLIP). Deployed NLP-based agents with open-source LLMs and integrated with chatbot frameworks; added Prometheus, Grafana, and Datadog APM for real-time monitoring.

DevOps Engineer at LetsGetChecked

September 1, 2023 - September 1, 2023

Replatformed core services from EC2/ASG to EKS with Helm and cluster-autoscaler; reduced MTTR from 32 to 11 minutes and improved change failure rate. Standardized IaC with Terraform modules and Packer AMIs; integrated Vault for short-lived credentials and Consul service discovery, reducing config drift to near-zero and speeding environment spin-up. Built CI/CD for .NET and container workloads using AppVeyor and Helm chart promotion; implemented vulnerability management and policy-driven change control to meet SLA timelines. Automated model deployment pipelines via Argo Workflows, Kubernetes, and Helm, enabling smooth transitions and rollbacks. Defined SLOs across ordering, results, and eRx flows; tuned burn-rate alerts; improved p99 latency and alerting quality. Hardened Kubernetes for HIPAA/CERT, integrated EMR/eRx to scale with per-tenant overlays and blue/green canaries; authored runbooks and platform docs; led SRE workshops to reduce MTTD from 45 to 18 minutes.

Backend Engineer at HubSpot

May 1, 2021 - May 1, 2021

Led a 50% backend scaling initiative to prepare for rapid customer growth. Designed and developed data pipelines using NLP for email sentiment analysis, lead scoring, and categorization in the HubSpot CRM. Migrated microservices to Google Kubernetes Engine (GKE) and led company-wide Kubernetes training. Resolved critical gRPC issues in Kubernetes, optimized Go code, and improved system reliability during updates. Worked with MySQL, PostgreSQL, MongoDB, Redis, and RESTful APIs in Go/Node.js; implemented AI/ML features (predictive lead scoring, sales forecasting) using scikit-learn, TensorFlow, and XGBoost; utilized FastAPI and Flask for model serving. Built Kafka consumers in Go (sarama) for data ingestion; collaborated across SRE and Backend teams; used New Relic for end-to-end observability.

Software Engineer Lead at Shell

September 1, 2024 - November 16, 2025

Managed the development of a Python microservice for inventory and order management across 2,700 oil & gas stations. Implemented a delay-and-retry approach for 3PL integrations; architected AWS CDK-based infrastructure (Lambda, EC2, S3, RDS, SNS, SQS); hosted Docker images on AWS EKS with ArgoCD; used gRPC with Protobuf for inter-service communication and integrated DynamoDB and PostgreSQL. Streamlined CI/CD with GitHub Actions; led Python API development (Python 3.9); implemented OAuth 2.0 authentication, achieving >85% test coverage with pytest/unittest. Integrated Stripe/PayPal in Billing; migrated a Social Management Service to Flask/Django; maintained a React frontend; set up OpsGenie alerts and Datadog metrics.

Software Engineer Lead at Shell

September 1, 2024 - November 25, 2025

Led AI/ML and data engineering initiatives, building scalable data pipelines and real-time models to enhance inventory and order management systems. Implemented batch and stream ETL in Go and Apache Kafka, applying NLP models for extraction and classification from unstructured data sources. Architected AI-powered services with spaCy, transformers (Hugging Face), and TensorFlow for customer interaction analysis. Built high-performance Go microservices for AI inference, reducing latency by 35% for predictive analytics. Integrated LLMs (GPT-3/4, BERT) for real-time text classification and sentiment analysis of customer feedback. Orchestrated deployments with AWS CDK (Python) and served TensorFlow models via TensorFlow Serving in cloud-native environments. Optimized pipelines with Dask and Ray; integrated PostgreSQL and DynamoDB for multi-source data storage. Implemented CI/CD with Argo CD, Kubernetes, and GitHub Actions; secured endpoints with OAuth 2.0.

Senior Software Engineer at Artisan AI

October 1, 2023 - October 1, 2024

Developed high-throughput AI inference gateways using Go, gRPC, and Protobuf; built NLP-driven RAG models with pgvector and Redis for document retrieval. Created real-time AI feature extraction pipelines (Kafka → Go consumers → S3/Parquet) to reduce training data freshness from 24 hours to 5 minutes. Implemented transformer-based models (BERT, T5) with HuggingFace, deployed via TensorFlow Serving and KServe. Led LoRA-based fine-tuning and CUDA container optimization for GPT-4, and supported real-time content generation with Stable Diffusion and CLIP. Deployed NLP agents with open-source LLMs and integrated them into chat frameworks; added Prometheus/Grafana/Datadog monitoring.

DevOps Engineer at LetsGetChecked

April 1, 2021 - September 1, 2023

Replatformed core services from EC2/ASG to EKS with cluster-autoscaler; reduced deploy MTTR from 32 to 11 minutes and improved change-failure rate from 3.4% to 1.1%. Standardized IaC with Terraform and Packer; integrated Vault for short-lived credentials and Consul for service discovery; reduced config drift and accelerated environment spin-up. Built CI/CD for .NET and container workloads using AppVeyor and Helm; implemented vulnerability management and policy-gated changes. Automated model deployment pipelines with Argo Workflows/Kubernetes; defined SLOs, tuned alerts, and improved p99 latency. Hardened Kubernetes for HIPAA/SOC-2, achieved ~24% infra cost savings, and supported EMR/FHIR/eRx integrations with canary/blue-green deployments. Authored runbooks and platform docs; led SRE workshops.

Backend Engineer at HubSpot

August 1, 2015 - May 1, 2021

Led a backend scaling initiative to support growth prior to a major acquisition. Built NLP-powered data pipelines for email sentiment analysis, lead scoring, and categorization in HubSpot CRM; migrated microservices to GKE and led Kubernetes training. Resolved gRPC-related stability issues, optimized Go code, and improved reliability during updates. Worked with GORM/MySQL for 2000+ databases and used MongoDB for large-scale storage; integrated AI/ML models for lead scoring and sales forecasting using scikit-learn, TensorFlow, and XGBoost. Implemented RESTful APIs for AI/ML models and Kafka consumers; bridged SRE and Backend teams with New Relic monitoring.