Comprehensive Ruby on Rails, AWS, IoT, and AI solutions engineered for scalability, security, and long-term maintainability, with clear communication and milestone-based delivery.
Timelines and performance targets depend on scope and environment. SLAs/SLOs and support coverage are defined in contracts when required.
Maintainable Rails systems with clean architecture and performance focus
Production-grade infrastructure with reliability targets and cost awareness
Device-to-dashboard platforms for industrial and fleet use-cases
LLM integration, RAG systems, and workflow automation built responsibly
We architect, build, and maintain Ruby on Rails applications with a focus on clean design, measurable performance improvements, and long-term maintainability.
Concrete work we take on in production codebases
Rails and Ruby upgrades, dependency cleanup, and incremental architecture changes.
Profiling, query tuning, caching, background jobs, and capacity bottlenecks.
Automated tests, CI checks, staged releases, monitoring, and rollback planning.
Access controls, dependency review, secure defaults, and audit logging.
Upgrade strategies designed to minimize downtime using phased rollouts, blue-green / canary cutovers, and careful migration planning.
Profiling, query optimization, caching strategies, and scaling plans aligned to real traffic patterns.
Security-by-design practices, access controls, auditability, and readiness support aligned to common enterprise frameworks.
Timelines are estimated after discovery and may vary based on scope, dependencies, and readiness of existing systems.
We design, implement, and run AWS infrastructure with a focus on security, observability, and operational reliability, using automation to reduce manual risk.
Comprehensive AWS and DevOps capabilities
ECS, Kubernetes, Lambda, EC2 optimization
RDS, DynamoDB, S3, data platform patterns
VPC, WAF, CloudFront, secure connectivity
Metrics, logs, tracing, alerting, runbooks
End-to-end IoT platform development for industrial monitoring, supply chain visibility, and smart infrastructure. We build device management, ingestion pipelines, dashboards, and alerting with an emphasis on reliability and data integrity.
Comprehensive platform capabilities
Firmware integration, protocol translation, edge compute (as required)
MQTT, Cellular, LoRaWAN, and custom protocols
AWS IoT Core, Kinesis, queues, time-series storage
Dashboards, alerts, reporting, analytics
Real-time monitoring with alerting, reporting, and reliability-focused pipelines.
Integration for specialized devices and legacy systems.
Reference architectures and results are available upon request (and under NDA when required).
Production-ready AI agent workflows, LLM integration, and RAG systems for enterprise applications, built with guardrails, privacy considerations, and human-in-the-loop options.
Production components with explicit controls and evaluation
Tool permissions, approval steps, audit trails, and failure handling.
Model APIs, structured outputs, fallback paths, and cost controls.
Document ingestion, search, citations, permissions, and freshness checks.
Test sets, quality checks, data boundaries, and production monitoring.
Agents that execute defined multi-step workflows with approvals, auditing, and controlled tool access.
Coordinated agent systems for complex tasks with orchestration, guardrails, and evaluation.
End-to-end product delivery from concept to scale, combining engineering, architecture, and practical product execution.
Requirements clarification, risk mapping, architecture direction, and delivery plan.
Architecture foundations, MVP build, and early validation.
Feature iterations with measurable goals and feedback loops.
Reliability work, performance tuning, and scaling strategy.
Milestone planning, transparent progress, and scope change control, to avoid surprises and reduce delivery risk.
A senior engineer owns the work, documentation, and handover while integrating with your team’s workflows.
Practical security controls, auditability, and governance aligned with common enterprise expectations.
Analytics integration, dashboards, and reporting foundations to support product decisions and operations.
Schedule a technical architecture review. We’ll assess your stack, risks, and priorities, and share a practical delivery plan with milestones.
Typical response time: within 24 hours • Initial consultation: Complimentary