DS
Deepak Suhag
Expert AI Services Service
💻

Product Engineering

End-to-end Product Engineering services — design, build, and scale

End-to-end product engineering using modern JavaScript frameworks and Python — from MVP to production scale.

10+Years building AI
50+Projects delivered
98%Client satisfaction
72hAvg. first response

We design, architect, and ship high-quality software products. Our engineering teams specialise in React, Node.js, and Python, delivering fast, maintainable code that grows with your business.

Why work with us

What you get

Every engagement is designed around clear business outcomes — not just technical deliverables.

Blazing Performance

Code-splitting, lazy loading, and memoisation keep your app under 100ms TTI.

♻️

Reusable Components

Design-system-first approach means every component is portable and consistent.

🔒

Type-Safe Code

Full TypeScript coverage eliminates runtime surprises before they reach users.

📱

Responsive by Default

Mobile-first layouts that look great on every screen size out of the box.

Why Deepak Suhag

Built Different. Delivered Different.

We are not a big-4 consulting firm with layers of juniors — we are senior practitioners who have built and shipped real systems at scale.

🏆

10+ Years of Production AI

We have shipped AI systems used by millions — not slide decks, but deployed, monitored production code.

🎯

Results-Driven, Not Hours-Driven

We measure success by your business outcomes: reduced costs, more revenue, faster operations.

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Deep Technical Depth

Senior engineers across ML, backend, cloud, and data — no generalists who dabble, only specialists who ship.

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Radical Transparency

We tell you when AI is not the right answer. Our goal is your success — not our revenue.

Our Approach

How we work

A battle-tested process refined across 50+ projects — fast, transparent, and built for production from day one.

01

Discovery

Deep-dive into your product goals, user flows, and existing tech stack.

02

Architecture

Choose the right patterns — state management, routing, data fetching — upfront.

03

Build

Sprint-based delivery with live previews and weekly demos.

04

Test & Optimise

Unit tests, integration tests, Lighthouse audits, and performance profiling.

05

Deploy & Monitor

CI/CD pipelines, error tracking, and real-user monitoring post-launch.

Technologies We Use

Our tech stack

We pick the best tool for the job — not the one we happen to know. Here is what powers our Product Engineering engagements.

Frontend

⚛️ReactNext.js🔷TypeScript🎨Tailwind CSSVite

Backend

🟢Node.js🐍Python🚀FastAPI🐈NestJS🔌Express

Database

🐘PostgreSQL🍃MongoDB🔴Redis🐬MySQL

DevOps & Cloud

🐳Docker☸️Kubernetes☁️AWSVercel⚙️GitHub Actions
What we build

Typical projects

From rapid MVPs to enterprise-grade systems — here are the kinds of projects we tackle.

SaaS dashboardsE-commerce storefrontsAdmin portalsProgressive web appsData-heavy analytics UIsREST & GraphQL APIsReal-time collaboration toolsPayment & webhook servicesETL pipelinesMicroservice meshesML model serving APIsData pipelines & ETL
Our Engagement Models

Choose how we work together

No one-size-fits-all pricing. We adapt to your project type, team size, and budget.

Most Popular
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Fixed-Price Project

Clearly scoped deliverables, timeline, and price. Zero surprises — you know exactly what you are paying for.

  • Detailed scope document
  • Fixed-cost proposal
  • Milestone-based payments
  • 30-day post-launch support

Ideal for: Defined projects with clear requirements

Best for Growth
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Monthly Retainer

Dedicated hours each month for ongoing development, optimisation, and strategic AI guidance.

  • Dedicated senior engineer hours
  • Weekly strategy calls
  • Priority support SLA
  • Monthly roadmap reviews

Ideal for: Growing SaaS and product companies

Enterprise
👥

Team Augmentation

Dedicated engineers embedded in your team — same timezone, same tools, same Slack.

  • Full-time dedicated engineers
  • Direct Slack/Teams access
  • Embedded sprint participation
  • Knowledge transfer sessions

Ideal for: Enterprises scaling their tech teams

FAQ

Common questions

Still have questions? Ask us directly →

Do you work with existing React codebases?

Yes — we regularly audit, refactor, and extend legacy React projects alongside greenfield work.

Can you integrate with our existing backend?

Absolutely. We connect to REST, GraphQL, or WebSocket APIs regardless of the backend language.

How long does a typical React project take?

MVPs generally take 4–8 weeks. Full-featured products range from 3–6 months depending on scope.

Is Node.js suitable for CPU-intensive tasks?

For pure CPU work we offload to worker threads or companion Python/Go services, keeping the event loop free.

Ready to start?

Let's build something
extraordinary together.

Book a free 30-minute discovery call. No sales pitch — just an honest conversation about your challenge and how we can help.

All Services

Explore Product Engineering

Dive deeper into each specialised service within Product Engineering.

⚛️

React Js Development

We build high-performance React applications — from complex SPAs to micro-frontends — with TypeScript, state-management best practices, and seamless API integrations.

ReactNext.jsTypeScriptVite
Learn more →
🟢

Node JS Development

We build robust Node.js backends — REST & GraphQL APIs, microservices, real-time systems, and serverless functions — deployed on your preferred cloud platform.

Node.jsExpressNestJSFastify
Learn more →
🐍

Python Development

Our Python engineers build data science tooling, ML model APIs, automation scripts, and scalable Django/FastAPI web backends for AI-heavy products.

PythonFastAPIDjangopandas
Learn more →
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