
Growstack AI
Big data. Simple conversations.
A Python analytics backend that turns natural-language business questions into ClickHouse filters, query previews, and tracked data exports.
Hey, I’m Priyansh Dobariya.
I’m a full-stack and Applied AI engineer building web products, LLM applications, and multi-agent systems.
From the interface to the API. From idea to production.
Real problems. Thoughtful systems.
A few things I’ve helped bring to life.

Big data. Simple conversations.
A Python analytics backend that turns natural-language business questions into ClickHouse filters, query previews, and tracked data exports.

Hiring workflows through specialist agents.
A multi-agent service that routes recruiter requests to job, workflow, assessment, interview-scheduling, and guidance agents.

Connected intelligence for Shopify.
One platform for store operations.
A Shopify-focused SaaS platform connecting customer support, product pages, ad creative, campaigns, social publishing, and profit analysis through AI and automation.

A conversation that moves things forward.
Voice workflows for lead qualification, appointment scheduling, and contextual follow-ups.

Ask a document. Check the source.
A document workspace for uploading PDFs, processing searchable content, and asking questions with source-aware chat and previews.

Agents with handoff boundaries.
A backend runtime for specialized industry agents, shared lifecycle context, tool access, and human escalation.

A lead conversation with product context.
An n8n workflow that routes automotive-service questions to specialized agents and connects replies with CRM history and service documents.

Route the easy cases. Review the rest.
A social-message workflow that normalizes inbound events, applies deterministic filters, drafts replies, and sends sensitive cases to Slack approval.

Find events worth reviewing.
An AI-assisted event-research pipeline that extracts conference opportunities, checks duplicates, and saves sourced records for human review.

Execution gated by market evidence.
A market-data and trading engine with broker preflight, durable execution state, strategy parity checks, and operator controls.

A pet photo becomes a portrait.
A headless Shopify experience for creating personalized pet artwork, previewing it, checking out, and tracking production review.
Full-Stack & Applied AI Engineer
I connect the interface, the systems, and the intelligence that make a product work.
I’m Priyansh. At Bitontree, I work on Applied AI. Across my projects, I also build the full stack—from React and Next.js experiences to Node.js and NestJS services, databases, and Redis caching.
I also connect Stripe payments, build NestJS microservices and n8n workflows, and deploy on AWS. For AI applications, I build RAG pipelines with embeddings and vector databases to give agents the right context.
More about me on LinkedInUnderstand how the pieces fit.
Make the complex feel intuitive.
From the first interaction to delivery.
From what you see to everything that makes it work.
Explore the layersResponsive web experiences, from the first interaction to the finished product.
NestJS microservices, Stripe payment integrations, and n8n workflows that connect the whole product.
RAG pipelines, multi-agent architecture, and LLM observability for AI systems you can understand and improve.
Vector databases, Redis caching, and AWS deployment for reliable production systems.
Priyansh Dobariya’s project case studies connect the technology to the problem, architecture, and business workflow it supports.
A Python analytics backend that turns natural-language business questions into ClickHouse filters, query previews, and tracked data exports.
Built with: Python, FastAPI, LangGraph, ClickHouse.
Explore architecture and benefits →A multi-agent service that routes recruiter requests to job, workflow, assessment, interview-scheduling, and guidance agents.
Built with: NestJS, LangGraph, TypeScript, Qdrant.
Explore architecture and benefits →A Shopify-focused SaaS platform connecting customer support, product pages, ad creative, campaigns, social publishing, and profit analysis through AI and automation.
Built with: Next.js, Supabase, Shopify, n8n, Gemini, Meta APIs, Stripe.
Explore architecture and benefits →Voice workflows for lead qualification, appointment scheduling, and contextual follow-ups.
Built with: Retell AI, FastAPI, MongoDB.
Explore architecture and benefits →A document workspace for uploading PDFs, processing searchable content, and asking questions with source-aware chat and previews.
Built with: React, FastAPI, PostgreSQL, Vector search.
Explore architecture and benefits →A backend runtime for specialized industry agents, shared lifecycle context, tool access, and human escalation.
Built with: FastAPI, LangChain, Redis, Qdrant.
Explore architecture and benefits →An n8n workflow that routes automotive-service questions to specialized agents and connects replies with CRM history and service documents.
Built with: n8n, GoHighLevel, Google Docs, OpenAI.
Explore architecture and benefits →A social-message workflow that normalizes inbound events, applies deterministic filters, drafts replies, and sends sensitive cases to Slack approval.
Built with: n8n, GoHighLevel, Slack, Meta Graph API.
Explore architecture and benefits →An AI-assisted event-research pipeline that extracts conference opportunities, checks duplicates, and saves sourced records for human review.
Built with: Python, Hermes Agent, Gemini, Google Sheets.
Explore architecture and benefits →A market-data and trading engine with broker preflight, durable execution state, strategy parity checks, and operator controls.
Built with: Python, React, ClickHouse, SQLite.
Explore architecture and benefits →A headless Shopify experience for creating personalized pet artwork, previewing it, checking out, and tracking production review.
Built with: Shopify Hydrogen, React Router, TypeScript, AI image generation.
Explore architecture and benefits →Where curiosity meets
real-world experience.
Building production AI across analytics, ecommerce, recruitment, and automation. Owning projects from requirement discovery and architecture to deployment and client delivery.
Working directly with stakeholders to connect LLMs, APIs, databases, and cloud services into reliable business workflows.
Building the foundation. CPI: 8.04 / 10.
Tell me what you’re working on, what you need, and where you’d like to take it.
priyansh20032003@gmail.comConnect on LinkedIn