Founder of Sentira AI

John Prakash (JP)

MCA (Generative AI) · SRMIST

Building AI products that solve real problems.

I'm John Prakash (JP), an MCA Generative AI student at SRMIST and the creator of the Sentira AI ecosystem. I design, build, and ship practical AI applications for education, productivity, careers, creativity, and everyday problem solving.

0
Live AI Products
0+
AI Features Built
0+
Database Tables
0+
API Integrations
Independent
AI Product Builder
Growing
Ecosystem
At a Glance
  • MCA · Generative AI
  • Builder of Sentira AI Ecosystem
  • 8 Live Products
  • Full-Stack AI Development
  • Portfolio · GitHub · LinkedIn
About
Founder of Sentira AI

Building an ecosystem of practical AI products.

I'm John Prakash (JP), founder of Sentira AI — an ecosystem of AI products for learning, careers, creativity, and personal growth.

I learn by shipping. Every product goes public early, gets used, gets feedback, and improves the next week. Nothing sits in a folder waiting to be perfect.

Long-term, I'm building Sentira into a home for practical AI — a place where each product stands on its own but the ecosystem is worth more than the sum of the parts.

Role
Founder · AI Product Builder
Studying
MCA — Generative AI, SRMIST
Building
Sentira AI Ecosystem
Based
Chennai, India
Products

A growing ecosystem of AI products.

A collection of AI tools built for students, creators, professionals, and lifelong learners — each solving a practical problem.

Sentira AI

Sentira AI is a collection of practical AI tools I built for education, productivity, creativity, career growth, publishing, personal development, and knowledge management. Each product solves a specific problem I noticed in my own work or studies.

8
Live Products
1
Unified Ecosystem
Independent
AI Product Builder
Growing
Product Ecosystem
Why I Build

Learning by shipping real products.

I enjoy building AI products that solve practical problems. Each product in the Sentira AI ecosystem explores a different area such as emotional support, career development, learning, productivity, publishing, and knowledge management. My goal is to continuously learn, ship, and improve through real-world product development.

Focus Areas

Where I spend my building energy.

Generative AIAI Product DevelopmentFull Stack DevelopmentPrompt EngineeringKnowledge SystemsSaaS Development
Case Studies

How I actually build these products.

Engineering deep-dives — the problem, the architecture, the tradeoffs, the results.

Problem

Each Sentira product was a separate app with its own login, design, and billing. Users wanted a single home; I needed one place to iterate.

Research

Studied how Vercel, Linear, and Notion structure multi-surface products. Interviewed early testers about the friction of switching between tools.

Architecture

TanStack Start SSR shell → unified auth → per-product route sub-apps → shared AI Gateway → Supabase (Postgres + RLS) → per-user memory layer.

Engineering decisions
  • Server functions over edge functions for app-internal logic
  • Row-Level Security on every table from day one
  • Design tokens instead of hardcoded colors so all products stay on-brand
Challenges
  • Isolating product routes while sharing auth, theme, and memory
  • Streaming AI responses over SSR without hydration mismatch
  • Keeping cold starts sub-second on the Edge
Results
  • Reduced auth-and-boilerplate work for new products from days to hours
  • Shared memory layer live across 3 products
  • 8 products shipped under one ecosystem
AI models
  • Gemini 2.5 Pro
  • Gemini 2.5 Flash
  • OpenAI GPT-4.1
  • Groq Llama 3.3 70B
Tech stack
TanStack StartReact 19Tailwind v4SupabaseLovable AI GatewayCloudflare Workers
What's next
  • Cross-product agents that hand off context
  • In-platform billing and team accounts
  • Public API for external Sentira integrations
Engineering

What I bring to every product.

A senior-shaped engineering surface — auth, data, AI, deployment, performance, and security — reused across the ecosystem.

Authentication
Email, OAuth, session refresh, protected routes.
Supabase Postgres
Schema design, migrations, indexes, triggers.
Row-Level Security
Per-user policies, security-definer roles.
AI Gateway
Unified access to Gemini, GPT-4, and Groq.
Streaming
Token-by-token streaming with SSR safety.
Prompt Engineering
Structured prompts, guardrails, evals.
API Integrations
REST, webhooks, and third-party services.
Vector Search
pgvector embeddings for semantic retrieval.
Edge Deployment
Cloudflare Workers with sub-second cold starts.
Performance
Lazy loading, code splitting, prefetching.
Responsive Design
Mobile-first layouts with premium polish.
Security
Secret hygiene, signed webhooks, safe URL parsing.
Architecture

One stack. Every product.

A shared architecture powers the whole Sentira ecosystem — so shipping the next product is measured in hours, not weeks.

Frontend
TanStack Start · React 19 · Tailwind v4
Server Functions
Auth · business logic · webhooks
AI Gateway
Gemini · GPT-4 · Groq · streaming
Supabase
Postgres · RLS · pgvector · realtime
Users
Shared session across every product

Every arrow is a real wire in production — auth flows through server functions, AI streams through the gateway, and data lives behind RLS.

Tech Stack

The tools I ship with.

React
TypeScript
Supabase
Gemini
OpenAI
Tailwind
Postgres
Lovable

Frontend

  • React
  • TypeScript
  • TailwindCSS
  • TanStack Start

Backend

  • Supabase
  • PostgreSQL

AI

  • Gemini
  • OpenAI
  • Prompt Engineering
  • AI Workflows

Deployment

  • Lovable
  • Hostinger
  • Zoho Mail
Process

How I build products.

A repeatable loop that turns an idea into a shipped product without losing quality.

01
Idea
A real problem I or someone I know actually has.
02
Research
Study existing tools, interview a few users, sketch flows.
03
UI
Design tokens first, then a fast prototype in real components.
04
Backend
Schema, RLS, server functions — safe by default.
05
AI Integration
Prompt design, streaming, evals, guardrails.
06
Testing
Playwright flows and manual passes on real devices.
07
Deployment
Ship to production behind a real domain.
08
Iteration
Ship weekly. Every product improves in public.
Journey

Building step by step, year by year.

2024

Completed BCA & Explored Career Paths

Completed Bachelor of Computer Applications at Dr. R.K.S College of Arts and Science. Spent time exploring technology, AI, software development, and identifying the areas I wanted to pursue long-term.

2025

Started MCA in Generative AI & Began Building

Joined SRM Institute of Science and Technology (SRMIST) for MCA in Generative AI. Started learning by building real-world applications, experimenting with AI tools, full-stack development, and product design.

2026

Built the Sentira AI Ecosystem

Launched Sentira AI as a growing ecosystem of AI-powered products. Shipped platforms focused on emotional support, career development, academic productivity, publishing, knowledge management, and personal growth.

Next

Growing as an AI Engineer & Product Builder →

Building in Public

The shipping log.

Recent releases, updates, and what's on the roadmap next.

Writing

Notes from shipping.

Essays on AI engineering, product development, and building a founder-led ecosystem.

Achievements

Milestones along the way.

MCA — Generative AI

SRM Institute of Science and Technology

PathPilot AI

Live career growth platform

Multiple AI Products Built

Continuously expanding the Sentira AI ecosystem

Sentira AI

Independent AI product builder and developer

Contact

Let's build something meaningful together.

For collaborations, internships, product discussions, and AI-related opportunities — the inbox is open. I read every message.

Available for new workResponse time · under 24h

Send a message

I read every message. Reply within 24h.