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Rohit Raj
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A founding engineer from India who ships end-to-end on any stack — AI, backend, mobile, blockchain, iOS, web3 — without the cost of a team.

Get your AI MVP live in 6 weeks.
29 products shipped, every one documented.

6-week MVP sprint · 50% back if we miss week-3 milestone
Book free 30-min callAI ProjectsEngineering Notes
  • Fixed price · No hourly surprises
  • You own the code · MIT or commercial
  • Daily Slack / WhatsApp access
  • First production commit in 5 days
AI and Backend Systems Architecture
AI Projects

Production-Ready AI Systems

Not experiments — full-stack applications with real infrastructure.

01

MicroItinerary — AI Travel Planner

liveSource

Problem

Travel apps optimize for proximity and ratings. They don't consider human energy levels, group dynamics, or budget constraints intelligently.

Solution

AI-powered PWA that generates personalized annual travel itineraries with intelligent destination suggestions, cost estimation in INR, and Splitwise-style expense splitting.

AI Approach

GPT-4 for destination recommendations based on season, budget, and preferences. AI-generated cost breakdowns for hotels, food, transport, and activities.

Build time
6 weeks
GPT-4 cost / itinerary
<$0.08
PWA Lighthouse
94/100
React 18ViteSpring Boot 3.2.2Java 21PostgreSQL 16RedisOpenAI GPT-4
02

StellarMIND — Chat-to-SQL with pgvector

liveSource
StellarMIND — Chat-to-SQL with pgvector

Problem

Business users need to query databases without knowing SQL. Existing tools lack context-aware query generation and safety guarantees.

Solution

Spring Boot MCP server that converts natural language questions into read-only SQL using LLM with retrieval-augmented context from pgvector.

AI Approach

RAG-based SQL generation: schema knowledge stored as embeddings in pgvector, retrieved as context for LLM. Strict read-only enforcement (only SELECT/WITH).

Query latency p95
<1.2s
SQL safety
100% read-only
Schema embeddings
pgvector
Spring BootSpring AIPostgreSQLpgvectorMCP ProtocolOpenAI
03

MyFinancial — Personal Financial Advisor

liveLiveSource
MyFinancial — Personal Financial Advisor

Problem

Financial planning in India is fragmented across banks, insurance, and tax documents. Most tools require sharing sensitive data with third parties.

Solution

Privacy-first PWA that consolidates financial data locally via a 6-step wizard — Profile, Income, Assets, Liabilities, Insurance, Tax — with real-time advisory metrics like Financial Runway and Savings Rate.

AI Approach

Rule-based advisory engine for Indian financial instruments (PPF, EPF, NPS). Old vs. New Tax regime comparison. Coverage gap analysis for insurance. No cloud dependency — all computation runs locally.

Data privacy
100% on-device
Wizard completion
6 steps · ~4 min
Tax regimes covered
Old + New
React 19Vite 7Tailwind CSS 4ZustandDexie (IndexedDB)Spring Boot 3.xJava 21PostgreSQL
Read full architecture notes → →
Process

How a 6-week MVP sprint works

Fixed scope. Daily Slack. First production commit by day 5.

  1. 01
    Week 1

    Discovery & architecture

    • Problem framing call (90 min)
    • Architecture doc + tech stack lock-in
    • Milestone schedule signed
  2. 02
    Week 2

    Core backend & auth

    • Database schema + migrations
    • Auth flow (email / OAuth)
    • First production deploy on day 5
  3. 03
    Week 3

    AI / data layer

    • LLM integration (RAG / agents)
    • Vector store + retrieval pipeline
    • Cost guardrails + token budgeting
  4. 04
    Week 4

    Frontend & UX

    • UI flows + mobile responsive
    • Onboarding + empty states
    • Analytics events wired
  5. 05
    Week 5

    Hardening

    • Load tests + p95 latency budget
    • Observability + alerting (Prometheus + Grafana)
    • Security pass + dependency audit
  6. 06
    Week 6

    Launch

    • Bug bash + UAT
    • Public deploy + DNS cutover
    • Code handover + runbook + docs
Engineering Quality

Reliability & Production Readiness

📊

Observability

Prometheus + Grafana

Production-grade metrics, dashboards, and SLO visibility.

  • RED/USE metrics with custom business KPIs
  • Grafana dashboards for latency, throughput, error rates
  • Alerting and environment-aware scrape configuration
Learn more →
⚡

Load Testing

k6

Performance validation for high-throughput, event-driven systems.

  • Scenario-based tests (ramping, soak, constant-arrival-rate)
  • Thresholds on p95/p99 latency and error rates
  • CI-compatible execution and reports
Learn more →
🔗

API Contract Testing

Postman + Newman

Repeatable regression and smoke testing for REST APIs.

  • Environment-driven collection execution
  • Newman CLI with HTML/JUnit reports
  • Pipeline-friendly contract validation
Learn more →
📨

Event-Driven Testing

Kafka Simulation

Deterministic testing of Kafka consumers and workflows.

  • Forked Kafka simulation repos for event replay
  • Partitioning and ordering validation
  • Failure, retry, and backpressure testing
Learn more →
Testimonials

What Clients Say

Rohit delivered our MVP in 5 weeks — on budget and ahead of schedule. His architecture decisions saved us from rewriting everything when we scaled.

Arjun Kapoor
Founder, NovaByte Labs
MVP Development

We needed a WhatsApp bot for our clinic chain. Rohit understood the problem immediately and shipped a working solution that our staff could use without training.

Priya Mehta
CTO, MediConnect Health
WhatsApp Bot

What impressed me most was the transparency. GitHub access from day one, weekly demos, no surprises. The React Native app he built is still running with zero issues.

Vikram Desai
Product Manager, FinLeap Technologies
Mobile App
FAQ

Common questions before we start

What if 6 weeks slips?

Fixed scope means we descope features, not extend timeline. You ship on week 6, even if a few stretch features move to v2. You keep what's working.

Who owns the code?

You. Full repo handover on week 6. MIT license by default; commercial-only if you prefer. All IP transfers on final payment.

Am I locked into your tech stack?

No. I default to Next.js / Spring Boot / Postgres because they're boring and hireable. If your team uses Python / Go / Rails, we ship in your stack.

What about post-launch maintenance?

Two options: (1) clean handoff to your team with full docs and a runbook, or (2) ongoing retainer at a fixed monthly rate. No surprise bills either way.

Refund policy?

If we don't reach a working production deploy by week 3 (50% milestone), you get 50% back. No questions, no contract gymnastics.

Are you the only engineer?

Yes. No outsourcing, no rotating contractors. You talk to me on Slack / WhatsApp daily. If I get overcommitted I tell you upfront.

Do you take equity instead of cash?

No. Cash only. Keeps incentives clean for both of us — I'm an engineer, not a co-founder shopping for cap table slots.

NDAs and IP?

Standard mutual NDA before kickoff if you want one. All code IP transfers to you on final payment, signed in the master services agreement.

Rohit Raj — Backend & AI Systems

Services

Mobile App DevelopmentAI Chatbot DevelopmentFull-Stack Development

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