Results That Move the Business Forward
Measurable outcomes from real technology leadership engagements. Not estimates. Not projections.
Reduced deployment cycles from 2 weeks to 3 days through AI-powered CI/CD optimization, automated testing workflows, and AI quality gates eliminating manual bottlenecks from the release process.
Implemented SRE practices, intelligent monitoring, and resilient architecture patterns that eliminated critical outages while scaling platforms to 10x traffic growth without proportional headcount increases.
Delivered infrastructure cost reductions through cloud-native modernization, right-sizing compute resources, eliminating unused services, and implementing AI-driven resource management that scales cost with actual usage.
Deployed agentic AI workflows automating repetitive engineering tasks across PR review, testing, documentation generation, and environment management - freeing engineers to focus on work that requires human judgment.
Rebuilt internal developer platforms so new engineers are productive in days, not months. Self-service access to CI/CD, observability, secrets management, and AI tooling - without filing tickets or waiting on infrastructure teams.
Built and scaled globally distributed engineering organizations across onshore, nearshore, and offshore teams. Implemented IDP tooling and DORA metrics to keep distributed teams aligned and healthy at scale.
Identified and systematically eliminated 75% of accumulated technical debt through AI-assisted analysis, prioritized modernization sprints, and engineering discipline that prevents debt from re-accumulating quarter over quarter.
Reduced pull request cycle time by 30% through agentic code review, automated quality gates, and process improvements that eliminate the manual bottlenecks slowing engineering delivery without sacrificing code quality.
Platform modernization and AI-native feature development directly enabled new revenue streams. Technical capability became a sales differentiator, unlocking enterprise contracts and product expansions that were not previously achievable.
How These Results Were Achieved
Three representative engagement scenarios illustrating the types of technology challenges I have solved and the outcomes delivered. Details are anonymized.
Platform Transformation for a PE-Backed B2B SaaS Company
Post-acquisition assessment of a B2B SaaS company revealed a legacy monolith with 18-month technical debt backlog, no CI/CD pipeline, and an engineering team shipping once per month under manual QA review. Operating partners needed a clear technology roadmap within 45 days and measurable velocity improvements within 90.
What Changed
- Delivered technology assessment and prioritized roadmap in 38 days
- Implemented CI/CD pipeline with AI quality gates in first 60 days
- Restructured team delivery into cross-functional squads
- Embedded agentic code review reducing manual review cycles by 70%
- DORA metrics instrumented for ongoing board reporting
Outcomes
- Monthly deployments became weekly, then daily
- 40% reduction in deployment time within 90 days
- Critical defect rate dropped 60% in first two quarters
- Engineering team retained through transition (zero departures)
Cloud Migration and Infrastructure Cost Reduction
A FinTech platform running on aging on-premises infrastructure was approaching capacity limits and facing growing security exposure. The business needed cloud migration that preserved PCI DSS compliance, kept payment processing running without interruption, and reduced infrastructure costs that were growing faster than revenue.
What Changed
- Phased cloud migration with zero payment processing downtime
- PCI DSS compliance maintained and improved throughout migration
- Infrastructure as code (Terraform) for all cloud resources
- Auto-scaling architecture replacing fixed-capacity on-premises
Outcomes
- $2M+ infrastructure cost reduction over 18 months
- Security posture improved - passed next PCI audit with zero findings
- Capacity no longer a constraint on business growth
- Team now deploys to cloud without infrastructure tickets
AI Transformation for Engineering Velocity
An enterprise SaaS engineering organization had experimented with GitHub Copilot but seen no measurable productivity improvement. Engineers used it inconsistently, there was no governance over AI spend, and the CFO was skeptical about ROI. Leadership needed to move from "AI experiments" to "AI as a measurable operating layer."
What Changed
- MCP server connecting AI agents to codebase, CI/CD, and observability
- Agentic PR review handling 70% of routine review work
- AI governance framework with FinOps dashboards per team
- Internal developer platform with AI tooling as first-class capability
Outcomes
- 55% reduction in developer toil measured across the org
- 4x faster onboarding for new engineers
- CFO-ready AI cost dashboards built and reviewed quarterly
- Engineers rated AI tooling environment as top retention factor
What People Say About Working With Me
RJ transformed our platform modernization initiative. His AI-native approach cut deployment time by 60% while maintaining quality. A true leader who codes and mentors with equal skill.
Alexander Sante
SVP Engineering, Financial Services
Working with RJ was a masterclass in cloud architecture. His expertise in AWS and Kubernetes helped us scale from 10K to 1M users seamlessly. He is the rare executive who can both strategize and debug production issues.
Michael Chen
CTO, Healthcare Technology
Best mentor I have ever had. RJ does not just teach technical skills - he teaches you how to think like a leader. His 1:1s transformed my career trajectory from IC to tech lead.
Jiten Patel
Senior Engineer, SaaS Company
How These Results Are Consistently Delivered
The outcomes above are not accidental. They come from a repeatable process: assess the current state with honesty, design the architecture before writing a line of code, build with production rigor from day one, and govern the results so they are measurable and defensible.
See How I Work - The 4-Step Process →Let's Build Results Like These for Your Team
Every engagement starts with a conversation about what you are trying to achieve and whether I am the right fit to help you achieve it.