I'm Kushal — 13+ years building and scaling production AI systems, including a platform processing 2M+ events a day for a 500K-device global IoT fleet and a HIPAA-compliant AI system serving 5,000+ daily clinical sessions. I bring that same architecture, discipline, and speed to your MVP — live in 30 days, with real integrations, real infrastructure, and zero rebuild waiting for you at scale.
// Get Started
No page hop, no ten-field form — just the basics. I'll reply personally within a day.
Thanks — I'll get back to you within a day. Meanwhile, feel free to check pricing or see case studies.
// Why This Is Different
Agencies and freelancers ship demos — mock auth, dummy data, a "coming soon" API, no path past 100 users. I've spent 13+ years on the other side: owning production systems after the demo, when they meet real traffic, real regulators, and real incidents. I build your MVP the way I'd want to have inherited it.
The same patterns that carried a 2M+ image/day platform to production — applied to your MVP from day one, not bolted on after you raise a round.
Payments, auth, LLM providers, third-party APIs — wired up and working on launch day, because "we'll connect it later" is how MVPs die in review.
Stateless services, queues, caching, and autoscaling from commit one — the architecture that took a platform from 0 to 500K devices, sized down to your MVP.
STRIDE threat modeling, secrets management, and privacy-by-design — the same discipline used to ship HIPAA-compliant and NIS2-aligned systems.
Every build starts with root-cause thinking, not a backlog. I've publicly broken down why entire industries fail to digitize — that same rigor gets applied to your scope first.
Your cloud account, your repo, your keys. No vendor lock-in, no dependency on me to keep the lights on after handover.
// How It Works
A fixed-scope sprint, not an open-ended engagement. Scope locks after week one so there's no drift — and no surprise invoice at the end.
// Proof, Not Promises
What I've shipped at scale for employers, and how I think before any code gets written — a habit I apply to every client engagement, starting with yours.
// Track Record
Before KushalBuilds, I was the engineer these companies trusted to take their AI platforms from first architecture diagram to production — and to keep them running under real load.
Confidential · Global Optics & Imaging Enterprise
Engineering Manager / AI Platform Lead
Built the engineering function from zero and architected the end-to-end AI pipeline — ingestion, preprocessing, deep-learning inference, metadata, API — processing 2M+ images/day from a 500K-device global IoT fleet on Azure ML and Kubernetes. Shipped a GenAI capability (Azure OpenAI, GPT-4) for natural-language image search and AI-generated observation summaries.
Confidential · US Healthcare Product
Technical Lead, AI & Backend Platform
Owned architecture and delivery of a real-time clinical AI pipeline — audio → Whisper transcription → NER enrichment → structured clinical notes — serving 5,000+ daily sessions for a US healthcare product. Built a HIPAA-compliant RAG system (LangChain + pgvector + Azure OpenAI) for natural-language querying of patient history.
Confidential · B2C Career-Tools SaaS
Lead Full-Stack & AI Engineer
Led an acquired brand's integration — migrating users and systems onto the parent platform and delivering end-to-end white-labelling across a high-ambiguity, multi-system cutover. Architected an AI resume-scoring engine (spaCy, BERT embeddings) for semantic matching and ATS scoring.
// Diagnosis Before Code
Before I write a line of code for any client, I diagnose the actual failure mode in the industry — not just the symptom. This is a growing series of public breakdowns of why entire industries lose money to fragmented, non-digitized systems. Construction is first; law and other regulated industries are next.
Published systems analysis · Construction Tech
Before writing a line of code for any client, I diagnose the actual failure mode — not the symptom. In this piece, I broke down why construction (13% of global GDP, the least digitized major industry) keeps losing money in preconstruction: architects and contractors use the same documents in entirely different systems, and the intelligence one side discovers never travels back to the other. This is the same discovery process that opens every 30-day build.
// Investment
Fixed-scope, fixed-price builds — priced upfront on a free scoping call, not billed hourly. Ranges below are typical starting points; every engagement is scoped to your actual product before a number is finalized.
💱 Prices shown in EUR — auto-detected from your region.
A fast technical due-diligence pass before you commit budget to a build.
A real, production-grade MVP — live, scalable, and yours — in one fixed-scope sprint.
For an MVP (mine or someone else's) that needs to survive real traffic and real regulators.
A focused pass on the part of your product that can't fail quietly — auth, secrets, and uptime. See the full security & compliance menu ↓ for deeper engagements.
Part-time, embedded technical leadership — for teams that need a Head of AI Engineering, not another contractor.
Final price depends on scope — integration count, AI/LLM complexity, compliance requirements, and expected launch scale all move the number. You'll get an exact, fixed quote before any work starts, not an estimate that grows.
// Beyond the MVP
From urgent regulatory deadlines to AI governance to classic security engineering — priced individually so you know exactly what you're buying. Rates below are introductory, first-engagement pricing.
These are introductory rates for a first engagement together — scope, timeline, and a fixed quote are confirmed on a discovery call. Bundle any of the above with an MVP build or Scale & Harden pass for a combined-engagement discount.
// Before You Ask
// Let's Build
Book a free 30-minute scoping call. You'll leave with a scoped plan and a fixed price — whether or not you decide to build with me.