AI-Native Development & MLOps
AI is no longer a tool layered on top of the SDLC -- it is the SDLC. We are past the era of bolting Copilot onto a legacy agile playbook. The 2026 reality is an AI-native SDLC where every phase, from spec-driven product definition to deployment and incident response, runs on coding agents, MCP-integrated tools, and continuous evals. My focus is on using AI to compound Developer Experience (DevEx), shorten flow time, and unlock team velocity that humans-only workflows cannot reach. I architect with Claude for systems-level thinking, pair with Cursor and Claude Code for high-leverage IC work, and run agentic pipelines for testing, MVP scaffolding, documentation, and code review. Just as critical is the AI governance work -- data protection, model routing, cost-aware inference, eval-driven release gates, and ethical guardrails -- so teams adopt AI with intention rather than as a panic. More information at RJL.ai
Platform Modernization & Legacy System Transformation
I transform rigid legacy systems into modern, modular platforms that support scalability, agility, and long-term sustainability. This is rarely a rewrite -- it is architecting with intention. I migrate monoliths into service-oriented and event-driven architectures, decouple them with well-versioned APIs and containerized workloads, and codify infrastructure with Terraform so deployments stop being hand-crafted theater. I have shepherded complex schema migrations and data backfills without breaking business continuity. The blend of disciplined refactoring, performance tuning, and stakeholder alignment is what keeps modernization aligned with where the business is actually going. Like a shadow stepping into the future, I modernize quietly but with lasting impact. More information at RJL.guru
Cloud-Native Architecture (AWS, Azure, GCP)
Cloud-native is a discipline I have practiced across AWS, Azure, and GCP for production workloads, not slide decks. I lead teams in building distributed systems with Kubernetes, serverless compute, and event meshes that scale with traffic and degrade gracefully when something upstream catches fire. Infrastructure-as-code with Terraform or CloudFormation gives reproducible environments and consistent deployments across regions and accounts. From VPC and zero-trust network design to securing endpoints, hardening secrets, implementing zero-downtime releases, and tuning FinOps for cost-aware inference and storage, I build systems that are operationally sound and economically defensible. Whether the move is greenfield or a workload migration, I help businesses harness the cloud's full potential with ninja-like precision and foresight. More information at RJL.dev
System Scalability & Performance Optimization
Performance is a feature, not an afterthought. I architect systems that stay fast, responsive, and resilient as load scales -- including the new shape of load that AI inference traffic and agentic workflows put on a backend. Load balancing, caching tiers, async messaging, and horizontal scaling eliminate single points of failure and absorb spiky demand. I instrument with Datadog, Grafana, OpenTelemetry, and custom dashboards so regressions surface in minutes, not pager-storms. Whether the work is tuning SQL, eliminating cold starts, profiling memory, or trimming token cost on an LLM hot path, I treat throughput and latency as KPIs the business can measure. The result is systems that handle spikes, sleep soundly through production incidents, and quietly power growth from the shadows.
Technical Debt Reduction & Code Quality
Technical debt is both a liability and an opportunity -- a chance to compound velocity, security, and developer morale. I run structured audits to find the fragile components, the legacy traps, the patterns that quietly slow every sprint, and the AI-generated code that needs eval coverage before it becomes a quarterly fire. My approach balances refactor cost against business priority so short-term wins do not gut long-term stability. The work spans framework upgrades, retiring obsolete APIs, raising test and eval coverage, enforcing coding standards, and pulling cycle time down by eliminating the broken-window code that erodes team trust. I build executive buy-in by tracking ROI: how every increment of debt removed shows up as faster delivery, lower incident rates, and a calmer on-call rotation. When I strike, it is not with brute force -- it is with stealth, strategy, and sustainable change. More information at techdebt.fail
End-to-End System Resilience & High Availability
Building for failure is a requirement, not an option, in today's interconnected and AI-augmented systems. I design with fault tolerance baked in -- redundancy, graceful degradation, retries with jitter, idempotency, and circuit breakers are first-class architectural elements, not add-ons. Observability through distributed tracing, structured logging, and SLO-aware alerting separates real signal from pager noise. My resilience planning includes disaster recovery rehearsals, chaos experiments, and runbooks the on-call team trusts at 3 AM. The bar is not just bouncing back -- it is shielding users from ever noticing anything went wrong. Ninja magic, backed by SLOs, SLAs, and engineering rigor.
Full-Stack Coding Expertise (Java, JavaScript, TypeScript, React, C#, Kotlin)
Code is my craft, and I still practice it weekly -- leading by example earns trust faster than any title. I am proficient in Java, JavaScript, TypeScript, React, C#, and Kotlin, and I follow clean-code principles with an eye on clarity, testability, and performance, including how AI-generated code holds up under production pressure. I am not shipping daily as an IC, but I keep enough development depth to know when an architecture is wrong before it becomes a quarterly fire. Whether the team is building a REST or GraphQL API, integrating a third-party system, or chasing a memory leak through a profiler, the bar is maintainable, well-documented code. I show up to code reviews as a mentor, not a gatekeeper -- offering guidance, learning in return, and shaping how the team thinks about quality. Like all skilled warriors, I know the blade because I have forged it myself. More information at RJL.dev
MLOps & CI/CD Pipeline Automation
Modern MLOps and CI/CD is more than automation -- it is a culture of continuous feedback, quality, and speed. I build delivery pipelines that bake quality in: unit and integration tests, performance and load tests, static analysis (SonarQube), supply-chain scans, and OWASP-aligned security scans all run before a release ships. For AI-native systems that pipeline also runs evals, red-team prompts, drift checks, and AI-gated approvals so a model upgrade cannot quietly degrade production behavior. With Jenkins, GitHub Actions, GitLab, or cloud-native runners, I create workflows that developers trust and product managers rely on. Rollback mechanisms, progressive delivery, and observability hooks keep releases boring -- and in engineering, boring is beautiful. More information at RJL.ai
Engineering Team Mentoring & Leadership Development
Mentoring is not a side activity -- it is the multiplier that decides whether a team scales. I coach across every experience level: helping junior developers level up, supporting senior engineers stepping into leadership, and helping ICs adapt to a craft where AI is the new pair-programmer. Through regular 1:1s, technical coaching, and stretch projects, I cultivate confidence and curiosity. I tailor feedback to the engineer in front of me, build growth plans tied to real business impact, and reinforce the soft skills -- empathy, communication, accountability -- that determine who actually leads. Engineers who feel supported ship better; engineers who mentor others compound. A team is more than the sum of individuals -- it is a force, united by shared vision and trust. I help build that.
Agile Leadership & Scrum Mastery
Great agile leadership behaves like a dojo master -- discipline balanced with adaptability. I have led cross-functional teams of engineers, QA, designers, and product managers across industries and continents, always adapting the framework to the team and never the other way around. I coach Scrum, Kanban, and hybrid models, focusing on the ceremonies that create clarity and the metrics that inform without micromanaging. Retrospectives become a real engine of improvement, plannings tie work to business value, and standups stop being status theater. Servant leadership is the through-line: unblock, support, and coach teams to own their velocity. Agile is a mindset, not a process. The mission is teams that are self-sufficient, iterative, and relentless about better outcomes. More information at RJL.dev
