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AI MVP Studio

Ship Production-Ready AI MVPs in 1–3 Weeks

End-to-end AI product builds using Next.js, FastAPI, LangChain/LangGraph, and scalable production infrastructure.

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  • Production deployment
  • Source code handoff
  • Observability-ready

Senior-led build. Direct collaboration. Production-grade delivery.

Architecture
Placeholder
Reference architecture
AI workflow → API → product UI
UI
Next.js
API
FastAPI
AI
LangGraph + LangChain + MCP
Async jobs • streaming • observability (LangSmith)
Inngest / queues
RAG / tools

Turning AI Ideas Into Live, Functional MVPs

I help startups and creators transform AI concepts into working MVPs using cutting-edge tools like Next.js, FastAPI, LangChain, Langraph, Remotion, Vapi, and AI APIs like Heygen & Eleven Labs. From interactive chatbots to AI-generated videos, I deliver solutions that are scalable, fast, and ready for real-world use.

See My Work
IdeaNext.js
FastAPI
LangChain
Langraph
Remotion
AI Output

Also using:

VapiHeygenEleven Labs

Selected GenAI Systems We’ve Built

Representative internal / pre-launch systems designed around real production constraints: reliability, latency, observability, cost, and safe tool use.

StatefulDeterministicStreamingReliable

AI Research & Knowledge Tool (Perplexity-style)

What it does: Fast, grounded research answers with citations, memory, and session continuity.

Architecture highlights

Routing & control
  • LangGraph agentic routing and explicit control flow for query planning, tool selection, and fallbacks.
Orchestration
  • LangChain tool orchestration for grounded summarization and citation-aware synthesis.
Persistence & streaming
  • Real-time SSE streaming with persisted sessions in Supabase for resumable conversations.

Why it matters: Deterministic control flow + persisted state makes streaming research assistants debuggable and safe to operate.

Secondary details
  • Tavily web search integration for fresh retrieval with source metadata.

System focus: Retrieval, agent routing, streaming, session state

AsyncStatefulReliableDeterministic

AI Video Ads Generator

What it does: Generate multiple ad-script variants and reliably produce finished video outputs asynchronously.

Architecture highlights

Orchestration
  • Async video rendering with Inngest orchestration and HeyGen generation steps.
Persistence
  • Persistent job state + outputs in Supabase for retries, audit trails, and delivery.
Prompt pipelines
  • LangChain-driven prompt pipelines for multi-variant scripts, hooks, CTAs, and brand constraints.

Why it matters: Async orchestration with persisted job state prevents ‘demo-only’ workflows and supports retries and production SLAs.

Secondary details
  • Gemini (via OpenRouter) for generation with structured outputs and validation gates.

System focus: Async orchestration, job state, structured outputs

StatefulEvaluationReliableDeterministic

Voice-First AI Interview Platform

What it does: Conduct structured voice interviews with dynamic questioning and consistent evaluation.

Architecture highlights

Workflow & state
  • LangGraph dynamic question flow with stateful checkpoints and branching logic.
Evaluation
  • Gemini-powered evaluation with structured scoring and rubric-based feedback.
Persistence
  • Review dashboard and session persistence in Supabase for QA and replays.

Why it matters: Stateful voice sessions + structured evaluation enables repeatable outcomes and a reliable review workflow.

Secondary details
  • Real-time voice interactions via VAPI.ai with low-latency turn handling.

System focus: Conversation state, evaluation, real-time voice

Client work may be deployed privately or under NDA. These are representative internal builds.

How we work

Fast cycles, production discipline — we ship usable systems with clear guardrails, measurable outcomes, and end-to-end ownership.

  1. 1

    Scope and success criteria

    We define the workflow, constraints, and acceptance tests before writing code.

  2. 2

    Design the system flow

    We map orchestration, state, tools, and failure modes so the build stays deterministic and debuggable.

  3. 3

    Build with guardrails

    We implement, instrument, and iterate with evaluation hooks, retries, and cost/latency controls.

  4. 4

    Deploy and hand over

    We ship with monitoring, runbooks, and clean ownership transfer to your team.

See the full process →

Who this is for

Good fit

Yes
  • Early-stage startups validating AI features
  • Founders with clear problems and urgency
  • Small teams that need a production-ready MVP quickly

Not a fit

No
  • Just experimenting or curiosity-driven projects
  • No plan to deploy to real users
  • No defined budget or timeline

How engagements work

Idea → MVP

A focused build to validate a clear AI use case with production-grade foundations.

Launch & Growth

An execution engagement to ship, iterate, and harden an AI feature into a usable product surface.

Advanced AI Systems

A systems engagement for complex orchestration, stateful workflows, and reliability at scale.

View plans & pricing →
Dr. Partha Majumder

Dr. Partha Majumder

Founder · Senior Gen-AI Systems Engineer

I build production-ready GenAI systems end-to-end — from orchestration design to reliable deployments — with strong defaults around state, evaluation, observability, and cost/latency control.

I’ve been working in applied AI/ML systems since 2009 — across optimization, simulation, deep learning, and now GenAI. That pre-LLM experience shows up in how we design modern LLM systems: anticipating failure modes, treating state explicitly, building evaluation loops, and engineering for performance and scalability from day one.

Credibility
  • 15+ years across applied ML, optimization, and AI systems — from pre-LLM models to modern GenAI
  • 10+ production Gen-AI MVPs shipped
  • Stateful agents, async orchestration, streaming systems
  • Former Principal Project Scientist (IIT Madras)
  • PhD (IIT Bombay), 8 Q1 publications, 237+ citations
Trust signals
  • Senior-led execution
  • Direct founder involvement
  • Production deployment + source code handoff
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