Full Stack Development
01- Modern web apps
- Dashboards
- Admin panels
- Authentication
- REST APIs
- Realtime apps
- Payment integrations
- Cloud deployment
I engineer GenAI productsthat work in production.
From context and retrieval to agents, evaluation, and full-stack delivery — I turn LLM capabilities into products people use.
About
Building beyond the demo.
I work across AI and full stack engineering to take ideas from model capability to reliable, usable products.
I turn GenAI capabilities into products people actually use.
I'm Vishal, a GenAI and full-stack developer based in Noida, India. I design RAG pipelines, agentic workflows, and scalable SaaS systems—then own the engineering needed to ship them end to end.
- 3
- Own products
- 2,000+
- Users
- 50+
- Paid users
Services
What I Do
End-to-end product work across web, AI systems, automation, and mobile.
Generative AI
02- LLM Applications
- RAG Systems
- AI Agents
- Function Calling
- Prompt Engineering
- Structured Outputs
- Multi-Agent Systems
- Embeddings
- Vector Search
- Context Engineering
AI Engineering
03- LangChain
- LangGraph
- MCP
- Guardrails
- Memory
- AI Workflows
- Streaming Responses
- Tool Calling
- Reasoning Models
- Agentic AI
Chatbots & Automation
04- WhatsApp Bots
- Telegram Bots
- Customer Support Bots
- Lead Qualification
- CRM Automation
- Business Workflows
- AI Assistants
- Custom Integrations
Mobile Development
05- React Native
- Expo
- Android
- iOS
- Push Notifications
- Offline Support
- REST APIs
- Realtime Sync
Stack
What I build with
A practical stack shaped by the product—not by trends.
Vishal's production toolkit
5 disciplines57 tools
01
Frontend
React
Next.js
TypeScript
JavaScript
Tailwind CSS
ShadCN UI
Framer Motion
Redux
React Query
HTML5
CSS3
02
Backend
Node.js
Express
NestJS
Prisma
PostgreSQL
MongoDB
Supabase
Firebase
Redis
WebSockets
REST APIs
GraphQL
03
AI Stack
OpenAI
Anthropic
Gemini
OpenRouter
LangChain
LangGraph
Vector Databases
Pinecone
ChromaDB
Embeddings
Prompt Engineering
RAG
Guardrails
Tool Calling
Function Calling
MCP
Structured Outputs
Streaming
AI SDK
04
Mobile
React Native
Expo
Android
iOS
05
Cloud & DevOps
Docker
Git
GitHub Actions
Vercel
Render
Railway
Cloudinary
AWS basics
CI/CD
Linux
Nginx
Hover a discipline to isolate its toolkit.
Selected Work
Featured Projects
Live products — expand a card to go deeper.
seedhedocs · Product overview
Problem
Generic chat tools answer questions but leave the real chaos untouched: multi-question papers, word limits, diagrams, formatting, and 40–50 page project reports. Students still stitch everything together by hand.
Architecture
Next.js academic workspace with document-grounded generation, inline AI editing, Mermaid diagram pipeline, Clerk auth, Razorpay credits, and a production export path for PDF/DOCX/LaTeX/Markdown.
Features
- Upload PDF, DOCX, or images — questions extracted automatically
- Streaming academically styled answers with personal writing voice
- Inline AI rewrite, expand, simplify, or convert text to diagrams
- 25+ Mermaid diagram types generated where the paper asks
- Full 40–50+ page final-year project report generation
- One-click export to PDF, DOCX, LaTeX, and Markdown
- Plagiarism-aware paraphrasing and version history
Challenges
- Reading word limits and diagram requirements straight from messy assignment PDFs
- Keeping long reports structured the way universities expect
- Inline edits that stay coherent without regenerating the whole document
teaadrop · Home & drop flow
relayt · Product overview
AI Systems
AI Expertise
A connected path from prompting and retrieval to agents and production systems.
Phase 01
Foundations
How models are steered, structured, and streamed.
- Prompt Engineering
- Context Engineering
- Structured Outputs
- Streaming
- LLM APIs
Phase 02
Retrieval
Grounding answers in real knowledge.
- Embeddings
- Chunking
- Semantic Search
- Vector Databases
- RAG
Phase 03
Agents
Tools, memory, and multi-step reasoning.
- Tool Calling
- Function Calling
- Memory
- AI Agents
- Multi-Agent Systems
- LangChain
- LangGraph
- MCP
Phase 04
Production
Reliability, evaluation, and provider flexibility.
- Guardrails
- Evaluation
- Reasoning Models
- OpenAI SDK
- Anthropic SDK
- Gemini SDK
- OpenRouter
- AI SDK
Career
Experience
Founder & Full Stack AI Developer
Own products · Freelance
Feb 2026 — Present
- Building and shipping own SaaS products — SeedheDocs.org, Relayt.xyz, and TeaaDrop.
- Doing freelance full stack + AI work with startups and businesses since Feb 2026.
- Owning product, architecture, AI workflows, billing, and production deployment end to end.
- Growing real users and paying customers while iterating fast in production.
Full Stack Developer
One1App · Remote
Oct 2025 — May 2026
- Architected a centralized subscription platform across four SaaS products with shared billing, entitlements, and RBAC.
- Designed backend workflows for subscription lifecycle management including upgrades, renewals, and access control.
- Developed production REST APIs, admin dashboards, analytics, and AI-powered workflow automation.
- Improved operational efficiency through internal automation and scalable backend services.
Approach
Why Work With Me
What clients and teams usually notice after the first few weeks.
01
Fast Delivery
Ship usable increments without sacrificing structure.
02
Production-ready Code
Typed, tested enough, and ready for real traffic.
03
Scalable Architecture
Designed for growth, not just demos.
04
Clean UI/UX
Interfaces that feel intentional and calm.
05
AI Expertise
RAG, agents, and reliable LLM product patterns.
06
Excellent Communication
Clear updates, clear tradeoffs, clear next steps.
07
Problem Solver
Start from the constraint, not the framework.
08
Startup Friendly
Comfortable moving from idea to MVP to production.
09
Modern Tech Stack
Current tools, chosen for fit—not hype.
10
Performance Focused
Fast loads, lean bundles, careful UX.
Feedback
Testimonials
A few notes from founders and product leads I've worked with.
“Vishal took our messy AI idea and turned it into a product our team actually relies on every day.”
“Rare mix of full-stack depth and real GenAI craft. Communication was sharp, delivery was faster than expected.”
“From chatbot architecture to the dashboard UX, everything felt considered. We shipped with confidence.”
Blog
Latest writing
Build notes on SaaS, RAG, agents, and products I’ve shipped.