# Ayush Goyal — AI Solution Architect & GTM Engineer

> I architect and ship AI systems end to end — agents, voice bots, RAG, automation, and the robots that run on a factory floor.

**Status:** Available for freelance & contract work
**Works:** fully remote, worldwide
**Book a free 30-min call:** https://cal.com/ayuugoyal
**Email:** ayushgoyal8178@gmail.com
**Website:** https://www.ayuugoyal.tech
**GitHub:** https://github.com/ayuugoyal
**LinkedIn:** https://www.linkedin.com/in/ayuugoyal/
**X:** https://x.com/ayuugoyal
**Lab:** https://www.rndynamolabs.com/ (RnDynamos Labs — Physical AI for manufacturing)

## Summary

Ayush Goyal is an AI Solution Architect and Go-To-Market (GTM) Engineer available for freelance and contract work. He designs and ships production AI systems end to end: AI agents and chatbots, WhatsApp Business API agents, bilingual voice agents, enterprise and SaaS integrations, agentic and retrieval-augmented generation (RAG) systems, Model Context Protocol (MCP) servers, lead-generation and outbound automation, workflow automation, and Physical AI — robotics and IoT that run on real factory floors. He currently works as an AI (Harness) Engineer at TAP Innovations, remote for a US team, holds UK Design Registration 6450987 for a pneumatically actuated four-finger robotic gripper, and has earned $400 in maintainer-awarded bounties for open-source contributions.

## Services

### AI Agents & Chatbots

Customer-facing assistants that answer from your own content instead of hallucinating. Embeddable widgets, multi-turn tool use, and a clean handoff to a human when it matters.

What you get:
- Embeddable support & sales chatbot
- Multi-step agents with tool calling
- Guardrails, evals and fallback handling
- Analytics on what users actually ask

Proof of work: Chatter AI, ChatterCraft AI, LawGPT, LawGuru

### WhatsApp & Chat Agents

Your customers already live on WhatsApp. AI agents that answer there — domain-trained, always on, and cheap enough to run on a small VPS instead of a GPU cluster.

What you get:
- WhatsApp Business API agents
- Domain-trained assistants over your own docs
- Order, booking and support flows
- Live alerts and shift reports pushed to WhatsApp
- Web chat widget from the same brain

Proof of work: NBC 2016 WhatsApp assistant, FactoryBrainAI WhatsApp alerts, Chatter AI

### AI Voice Agents

Phone agents that hold a real conversation in Hindi and English — qualifying leads, booking appointments and handling inbound calls without a queue.

What you get:
- Inbound & outbound calling agents
- Lead qualification and appointment booking
- Telephony integration (Twilio / Plivo)
- Call transcripts, summaries and CRM sync

Proof of work: Mona @ RnDynamos Labs, bolna-ai/bolna, ArduPilot Assistant

### GTM Engineering & Lead Generation

The go-to-market machine, built like software: enriched lead lists, personalised cold outreach at volume, and instrumentation so you know what actually converts.

What you get:
- Lead scraping & AI enrichment pipelines
- Personalised cold email at scale, with caps & suppression
- Outbound sequencing and deliverability setup
- Funnel dashboards and reply attribution

Proof of work: Lead Enrichment Tool, Automechnica outreach server, Daily cold email engine

### Workflow Automation

The boring, expensive, manual work — gone. Internal tools, Slack bots, scheduled jobs and n8n pipelines that quietly run the business.

What you get:
- n8n and custom pipelines across your stack
- Slack and WhatsApp bots for internal ops
- Document, spreadsheet and reporting automation
- Secure remote access and cloud sync

Proof of work: slack-claude, AI DevOps Agent, Cloudflare Tunnel + n8n @ Data Alt Dynamics

### Integrations & Systems Plumbing

Making your tools actually talk to each other. Enterprise systems, SaaS APIs, CRMs, databases and AI — connected with auth, retries and error handling that hold up in production.

What you get:
- Third-party API & SaaS integrations (OAuth 2.0)
- CRM, helpdesk and calendar sync
- Slack, WhatsApp, Gmail & Google Workspace
- Notion, SharePoint, OneDrive & Drive connectors
- Webhooks, ETL jobs and data migrations
- Rate limiting, retries and idempotency

Proof of work: Enterprise integrations @ TAP Innovations, archestra-ai connectors, Google Calendar & Firebase integrations

### Agentic AI & Multi-Agent Systems

Agents that plan, use tools, remember, and know when to stop and ask a human. Orchestrated with LangGraph so the control flow is explicit instead of vibes.

What you get:
- Planner / executor and supervisor architectures
- Tool use, function calling and structured output
- Short and long-term memory, plus state persistence
- Human-in-the-loop approval gates and audit trails

Proof of work: archestra-ai/archestra, AI DevOps Agent, slack-claude

### RAG & Knowledge Systems

Answers with receipts. Vector search over your documents, wikis and drives, wired into whichever model you want to use.

What you get:
- Embeddings and vector store design
- Connectors for Notion, SharePoint, OneDrive, Drive
- Chunking, retrieval tuning and citation output
- Provider-agnostic LLM layer (Claude / OpenAI / Gemini)

Proof of work: LawGPT, archestra-ai connectors, ChatterCraft AI

### MCP Servers & AI Dev Tooling

Custom Model Context Protocol servers that give agents real, safe access to your systems — plus the internal tooling that makes an AI-native team fast.

What you get:
- Custom MCP servers for your APIs and data
- Agent tool design, permissions and audit trails
- CLI tooling and developer-loop automation
- Claude Code / Cursor workflow setup for your team

Proof of work: QuickDocs, AI DevOps Agent, archestra-ai/archestra

### LLMOps, Evals & Guardrails

The difference between a demo and production. Tracing, eval suites, prompt versioning, and the cost and latency work that stops your AI feature bankrupting you.

What you get:
- Tracing and observability (LangSmith)
- Eval suites and regression testing for prompts
- Cost, latency and token optimisation
- Guardrails, PII handling and prompt-injection defence

Proof of work: Production RAG at Loadshare, archestra-ai, Chatter AI

### AI-Native MVPs & Product Builds

Zero to shipped. Full-stack AI products built the way an AI-native team builds them — fast, with Claude Code and Cursor in the loop, and deployed for real users.

What you get:
- Full-stack build: Next.js, Postgres, auth, billing
- AI features designed in from the start, not bolted on
- Deployment, analytics and iteration loops
- Handover your team can actually maintain

Proof of work: Chatter AI, QuickDocs, LawGPT

### AI Search Visibility & GEO

Generative Engine Optimisation — getting your brand cited by ChatGPT, Claude, Perplexity and AI Overviews, not just ranked on page one. Structured data, llms.txt, and content built to be quoted.

What you get:
- Schema.org / JSON-LD entity modelling
- llms.txt and AI-crawler-friendly content structure
- Technical SEO: sitemaps, metadata, Core Web Vitals
- FAQ and answer-shaped content that LLMs extract cleanly

Proof of work: This site

### Physical AI & Robotics

AI that moves things. ROS2 control stacks, robot arms, IoT sensor networks and live factory dashboards — from firmware all the way up to the browser.

What you get:
- ROS2 control stacks and Arduino/embedded firmware
- Robot arm integration (6-DOF, SCARA)
- IoT sensor networks with OEE and shift reporting
- Web control panels and 3D visualisation

Proof of work: BCN3D Moveo, SCARA Robot, FactoryBrainAI, UK Design Patent 6450987

## Skills

**AI Agents & Orchestration:** LangGraph, LangChain, Multi-Agent Systems, Tool / Function Calling, Agent Memory & State, Human-in-the-Loop, MCP Servers, Claude Agent SDK, Structured Output, Browser & Computer Use

**LLMs & Model Layer:** Anthropic Claude, OpenAI GPT, Google Gemini, HuggingFace, Ollama, Open-Weight Models, Prompt Engineering, Fine-Tuning & LoRA, Function Schemas, Streaming & Token Budgeting

**RAG & Knowledge:** Retrieval-Augmented Generation, Agentic RAG, Embeddings, Vector Databases, FAISS, pgvector, Pinecone, Hybrid & Semantic Search, Chunking Strategies, Reranking, Citations & Grounding

**Voice & Conversational AI:** AI Voice Agents, Speech-to-Text, Text-to-Speech, Telephony (Twilio / Plivo), Real-Time Streaming, Hindi & English Bilingual, Call Summarisation, WhatsApp Bots

**LLMOps & Evaluation:** LangSmith, Tracing & Observability, Eval Suites, Prompt Versioning, Guardrails, Prompt-Injection Defence, Cost & Latency Optimisation, Caching

**GTM & Growth Engineering:** Lead Generation Pipelines, AI Lead Enrichment, Cold Email Automation, Outbound Sequencing, Deliverability & Suppression, CRM Integration, Funnel Analytics, Generative Engine Optimisation (GEO), Technical SEO

**Integrations:** REST & GraphQL APIs, OAuth 2.0 & API Auth, Webhooks & Event-Driven Sync, Slack API, WhatsApp Business API, Twilio / Plivo, Gmail & SMTP, Google Workspace & Calendar, Notion API, SharePoint & OneDrive, Google Drive, GitHub API, Firebase, Clerk Auth, CRM & Helpdesk Sync, ETL & Data Migration, Rate Limiting & Retries

**Automation & Scripting:** n8n, Zapier / Make, Python Automation Scripts, Bash & Shell Scripting, Slack Bots (Bolt), WhatsApp Business API, Webhooks & Event Pipelines, Cron & Scheduled Jobs, Celery & Task Queues, Playwright / Puppeteer, Web Scraping, Pandas & Excel/CSV Pipelines, Google Workspace & Apps Script, Notion / SharePoint / OneDrive APIs, Cloudflare Tunnel, OAuth & REST Integration, PM2 & systemd Services, ComfyUI Workflows

**Physical AI & Robotics:** ROS2 Humble, ROSBridge, MAVLink / ArduPilot, Arduino & Embedded C++, Raspberry Pi, Stepper & Motion Control, URDF & Simulation, Computer Vision, Sensor Fusion & IoT, OEE Dashboards, 3D Printing (FDM / Resin)

**Languages:** Python, TypeScript, JavaScript, C++, Rust, Go, SQL, Bash

**Backend & Frameworks:** Next.js, React, FastAPI, Flask, Express.js, Node.js, REST APIs, GraphQL, WebSockets, Server-Sent Events

**Data & Infrastructure:** PostgreSQL, MongoDB, MySQL, Redis, Drizzle ORM, Prisma ORM, Docker, AWS, Azure, Vercel, Nginx, CI/CD

**AI Dev Tools:** Claude Code, Cursor, Antigravity, GitHub Copilot, v0, Agentic Coding Workflows

## Experience

- **AI (Harness) Engineer**, TAP Innovations (Remote, US) — May 2026 to present. AI-driven solutions for enterprise integrations, analytics and custom applications.
- **AI Engineer**, Loadshare Networks (Remote) — Nov 2025 to Apr 2026. AI for logistics and supply-chain optimisation, plus freelance AI/ML consulting.
- **Backend Developer**, Data Alt Dynamics (Remote) — Jul 2025 to Nov 2025. Raspberry Pi multi-sensor server, ComfyUI workflow tuning (70% efficiency gain), Cloudflare Tunnel + n8n pipelines (40% less manual work).
- **Trainee**, Physics Wallah (Noida, IN) — May 2025 to Jul 2025. Backend and platform engineering at India's largest ed-tech.
- **Summer Intern**, Bharat Electronics Limited (Delhi, IN) — Jun 2024 to Aug 2024. Embedded systems and electronics under the Ministry of Defence.

## Selected Work

- **Chatter AI** — embeddable AI support chatbot for eCommerce; answers product queries and integrates in under 10 seconds.
- **LawGPT / LawGuru** — RAG legal assistants using HuggingFace embeddings, FAISS and Gemini for document-backed answers.
- **QuickDocs** — CLI and MCP server that fetches documentation for any library or API, powered by llms.txt.
- **AI DevOps Agent** — MCP-based agent connecting Slack, Docker, AWS and Claude Desktop for AI-native infrastructure operations.
- **slack-claude** — control Claude Code from Slack: run tasks in isolated git branches and open GitHub PRs without leaving the channel.
- **ArduPilot Assistant** — natural-language and voice control of ArduPilot vehicles via an LLM orchestration layer and MAVLink.
- **NBC 2016 WhatsApp Assistant** — WhatsApp Business API agent answering National Building Code questions over client documentation, built on FastAPI and Gemini for a low-resource VPS.
- **Sensor Dash** — Raspberry Pi IoT factory server: FastAPI with WebSocket streaming, Arduino analog sensor integration (DHT, BH1750, MCP3008) and a Next.js dashboard.
- **Cold Outreach Engine** — personalised cold email at volume with scheduling, daily caps, suppression lists and full send logging.
- **Lead Enrichment Tool** — Next.js + Flask app enriching lead data with Gemini for GTM pipelines.
- **BCN3D Moveo Control System** — full control stack for a 6-DOF robot arm: Next.js UI, ROS2, Arduino firmware, WebSockets and 3D visualisation.
- **SCARA Robot** — 4-axis SCARA control system with Express.js API, Next.js frontend and Arduino Mega firmware.

## Open Source

- **archestra-ai/archestra** — AI agent platform. Contributed the Notion connector, Gemini embeddings, SharePoint and OneDrive connectors, an OAuth proxy fix and recursive subfolder traversal across 6 PRs. Awarded $400 in maintainer bounties.
- **bolna-ai/bolna** — open-source voice AI agent framework. Centralised duplicate .env config across Twilio and Plivo telephony Dockerfiles (PR #310).

## Patents

- **UK Design Registration 6450987** — 3D printed, pneumatically actuated four-finger adaptive gripper for industrial robots. Registered 13 June 2025, granted 30 June 2025.

## FAQ

### What does an AI Solution Architect actually do?

I take a business problem and design the whole system around it — which model, what retrieval, which tools the agent gets, how it fails safely, where it plugs into your existing stack — and then I build and ship it. Not a slide deck: working software you can put in front of customers.

### Do you take freelance and contract projects?

Yes. I work with founders and teams on fixed-scope builds and ongoing retainers, fully remote, and I already work remote for a US-based team. Book a call at cal.com/ayuugoyal or email ayushgoyal8178@gmail.com with what you are trying to build.

### Can you build voice agents that speak Hindi and English?

Yes. I ship bilingual voice agents that handle inbound and outbound calls, qualify leads and book appointments, with telephony integration and transcripts synced back to your CRM.

### What is a GTM Engineer, and why would I want one?

A go-to-market engineer builds the revenue machine as software instead of manual work — enriched lead lists, personalised outbound at volume, and the instrumentation to see what converts. Same engineering rigour, pointed at pipeline instead of product.

### Can you work with our existing stack?

Almost always. I build provider-agnostic, with Claude, OpenAI or Gemini selected by config, and I have shipped across Next.js, FastAPI, Flask, Express, Postgres, MongoDB, Docker, AWS and Azure. If you are already on something, I build into it rather than around it.

### Do you do hardware and factory-floor projects too?

Yes, and it is the part I like most. ROS2 control stacks, robot arms, IoT sensor networks and live dashboards. I hold a UK design registration for a pneumatically actuated four-finger robotic gripper, and I run Physical AI projects through RnDynamos Labs.

### Can you build WhatsApp bots and AI agents?

Yes. I have shipped WhatsApp assistants built on FastAPI and Gemini that answer domain questions over a client's own documentation, run cheaply on a small VPS, and push live alerts and shift reports to a WhatsApp group. The same agent brain can also power a web chat widget.

### Can you integrate AI with the tools we already use?

That is most of the job. I connect Slack, WhatsApp, Gmail and Google Workspace, Notion, SharePoint, OneDrive and Drive, CRMs, calendars and internal databases — with OAuth, retries, rate limiting and error handling built in, so the integration does not quietly break at 3am.

### How do engagements usually start?

Book a free 30-minute scope call at cal.com/ayuugoyal. We work out whether the problem is actually worth automating. If it is, I scope it into something shippable, and you get working software early rather than a long silent build.

## Contact

Hiring for a freelance or contract AI project? Book a free 30-minute scope call at https://cal.com/ayuugoyal, email ayushgoyal8178@gmail.com, or reach out on X at https://x.com/ayuugoyal. Remote worldwide.