Ship Better Mobile & AI Products, Without the Outsourcing Tax
I'm Dhilip R — a technical architect with 15+ years across mobile, AI/Edge ML, web and cloud, having delivered for UBS, Bosch, Singapore Airlines, Google and Home Depot. I help product companies with focus on engineering strategies, faster product building and unblocking technical challenges. Pick the right solution and ship with confidence.
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Protect Your Budget From Inflated Estimates
Having worked inside IT services firms of every size, I know exactly where outsourcing vendors pad estimates and engineer Change Requests. I sit on your side of the table.
- Estimate audits — identify the 2x–5x padding without hurting quality or the delivery team
- Contract and requirements hardening to shut down the Change Request trap
- Technology choices driven by your product's needs, not the vendor's bench
- Architecture and progress audits with clear, actionable compliance reports
Hands-On Technical Consulting When You're Stuck
Direct, senior-level help for development teams — across native iOS and Android, Flutter, React Native, Kotlin Multiplatform, Node.js, Spring Boot, AWS and Google Cloud.
- Root-cause and fix long-standing bugs your team has struggled with
- App security reviews and hardening
- Tech stack selection backed by real delivery experience, not blog hype
- Focused training sessions on specific technology modules
AI & Edge ML Solutions That Respect Your Costs and Privacy
From custom model training to on-device inference, I build AI features that run where it makes business sense — including Edge ML that eliminates per-request API costs and keeps user data on the device.
- Custom model training and evaluation pipelines
- On-device / Edge AI for iOS and Android (TensorFlow Lite, CoreML)
- LLM and OpenAI-based product features, designed for cost control
- Privacy-first architectures aligned with GDPR and financial regulations
Frequently Asked Questions
How do you audit outsourcing estimates?
Having worked inside IT services firms of every size, I know where vendors pad estimates and engineer Change Requests. I review the scope, effort breakdown and contract line by line, flag the 2x–5x padding, and give you an actionable report — without hurting quality or the delivery team.
What is the difference between Edge ML and cloud AI?
Cloud AI runs inference on a remote server, so you pay per request and user data leaves the device. Edge ML runs the model on-device (using TensorFlow Lite or CoreML), which removes per-request API costs, works offline, and keeps user data private — a strong fit for financial and privacy-sensitive apps.
Do you work with our existing development team?
Yes. Most of my consulting is hands-on help for in-house teams — root-causing long-standing bugs, reviewing app security, selecting the right tech stack, or running focused training on a specific module. I can also build individual modules or a whole app when needed.
Which technologies do you specialize in?
Native iOS (Swift, Objective-C) and Android (Kotlin, Java); cross-platform with Flutter, React Native and Kotlin Multiplatform; backends in Node.js and Spring Boot; AWS and Google Cloud; CI/CD with Fastlane, Jenkins and Azure DevOps; and AI/Edge ML with TensorFlow Lite and CoreML.
How do I start working with you?
Book a consultation through the contact page and describe what you are building or where you are stuck. We will scope the engagement — an estimate audit, an architecture review, hands-on delivery, or a second opinion — before any commitment.
Have a product to build, audit or rescue?
Send a specific query — specific questions get faster, better answers. If I can help, we'll set up a call at a mutually convenient time.
Book a Consultation