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AI Systems Engineer & Automation Architect

Systems That Think.
Workflows That Scale.

I engineer production-grade AI agents, voice pipelines, and intelligent automation systems — turning complex requirements into reliable, measurable outcomes for global clients.

Python FastAPI Node.js WebRTC Groq / LLM n8n React Next.js 14 Vapi Supabase Docker Raspberry Pi Playwright Keycloak Python FastAPI Node.js WebRTC Groq / LLM n8n React Next.js 14 Vapi Supabase Docker Raspberry Pi Playwright Keycloak
3+
Years in Production
15+
Projects Shipped
8
Countries Served
5
Client Rating
01 — About

The Engineer
Behind the Systems

SR
📍 Dhaka, Bangladesh
Available globally · Remote-first

I'm Suvon Roy — a Full-Stack Python Developer and AI Systems Engineer who builds things that actually work in production. Not prototypes. Not demos that crash on Tuesday. Systems that handle edge cases, recover from failures, and deliver value every single day.

My work spans AI agent pipelines, voice systems, WebRTC communications, and intelligent automation. My most technically challenging project — a headless WebRTC intercom client running on Raspberry Pi for a German enterprise client using Riedel's STAGE™ platform — ships Opus audio through a full Keycloak → SockJS → WebRTC stack with zero manual intervention on embedded Linux.

I operate in the space where AI meets infrastructure. I use Groq, Claude, Vapi, and n8n as tools — not magic — to solve problems that have real cost implications. When I automate a workflow, I measure the hours saved. When I build an AI agent, I track conversion rates.

Currently a CSE student at Dhaka International University — but the degree is a formality. I've been shipping production code for clients in India, USA, UAE, UK, Canada, and Germany since before most developers I know started their courses.

Primary Stack
Python · FastAPI · React
AI / Voice
Groq · Vapi · XTTS v2
Automation
n8n · Make · Playwright
Availability
Open for Remote Contract
02 — Skills

Technical
Expertise

AI & LLM Engineering
Groq API Claude API OpenAI Vapi Voice AI XTTS v2 / Coqui RAG Pipelines Prompt Engineering LangChain Whisper STT
Backend & APIs
Python FastAPI Django Node.js WebRTC / SFU WebSockets / SockJS REST API Design PostgreSQL Redis
Automation & Workflow
n8n Make.com Playwright Selenium Puppeteer Scrapy Webhook Pipelines CAPTCHA Solving
Frontend & UI
React Next.js 14 Vite TypeScript Tailwind CSS HTML / CSS / JS
Infrastructure & Embedded
Docker Linux / systemd Raspberry Pi / ARM64 PulseAudio / ALSA Keycloak OIDC Railway · Render · Vercel Supabase PM2
03 — Services

What I
Build

Specialized AI and automation engineering for businesses that need systems — not experiments. Every engagement starts with a clear outcome and ends with measurable results.

01
AI Agent & Voice Pipeline Development
Production AI agents for inbound/outbound calls, customer support automation, lead qualification, and conversational interfaces — integrated with your existing CRM and tools.
VapiGroqClaude APIFastAPI
02
n8n / Make Workflow Automation
End-to-end business process automation — multi-step CRM workflows, AI content pipelines, lead intake systems, email sequences, and multi-platform integrations that run without oversight.
n8nMake.comWebhooksAI / LLM
03
Full-Stack SaaS Development
Multi-tenant SaaS platforms with authentication, subscription billing, real-time features, and AI integration. From MVP to production-ready in weeks, not months.
FastAPINext.js 14SupabaseStripe
04
WebRTC & Real-Time Communications
Full-duplex audio/video systems, headless browser clients for embedded hardware, intercom integrations, and peer-to-peer communication infrastructure built for reliability.
WebRTCNode.jsLinuxEmbedded
05
Intelligent Web Scraping & Data Pipelines
Scalable data extraction from complex, dynamic sites with session management, AI-assisted classification, deduplication, and structured delivery to your database or dashboard.
PlaywrightScrapyPythonData Pipeline
06
AI-Powered Desktop Applications
System-level AI tools with voice control, screen awareness, multi-provider LLM support, and native OS integration — packaged for Windows, Linux, or embedded deployments.
PythonPyInstallerVoice AISystem Control
04 — Work

Featured
Projects

001 CLIENT — Enterprise Germany
Riedel STAGE™ Headless Intercom Client

Production Node.js client for the Riedel STAGE™ Virtual SmartPanel intercom system — deployed on Raspberry Pi 4 with HiFiBerry ADC+ADC Pro for full-duplex audio. Handles Keycloak OIDC authentication, SockJS/STOMP signaling, WebRTC Opus audio, and PulseAudio routing on embedded ARM64 Linux.

Node.js WebRTC Raspberry Pi ARM64 Keycloak OIDC PulseAudio SockJS / STOMP systemd
The Problem
The client needed a Riedel intercom station for a broadcast/production facility — but without a physical SmartPanel device. The Riedel STAGE™ Virtual SmartPanel runs as a web app inside Chromium, making it impossible to deploy headlessly on embedded hardware where no display exists.
The Solution
  • Reverse-engineered Riedel's SockJS/STOMP WebSocket protocol by analyzing the Virtual SmartPanel's network traffic
  • Implemented full Keycloak OIDC token flow with automatic refresh to maintain long-running sessions
  • Built a FIFO-based PulseAudio capture pipeline feeding real microphone audio into Chromium's fake device
  • Packaged as a systemd service with ARM64 native addon compilation and a Pi installer script
Impact & Results
  • 100% headless — zero display required, full Riedel intercom functionality on a $70 Pi
  • Deployed to a live broadcast facility serving real production workflows
  • Eliminated the need for a $2,000+ physical SmartPanel hardware unit
  • Session stability maintained for 8+ hours without manual intervention
002 Live Demo
Signature Roof Co — AI Business Agent Stack

Full-stack AI demo for a roofing business — a complete commercial website with an embedded AI chat consultant, inbound voice call agent via Vapi, and an automated lead capture pipeline. Deployed live on Railway. Built to demonstrate real-world AI revenue impact for SMBs.

Vapi Groq FastAPI Voice Agent Lead Capture Railway
The Problem
Roofing businesses lose 60–80% of after-hours leads because no one picks up the phone. A typical SMB can't afford a 24/7 sales team — but every missed call is a missed $5,000–$15,000 job. The project demonstrates exactly how AI solves this, with a working prototype.
The Solution
  • Built "Jordan" — an AI voice agent that answers inbound calls, qualifies leads, and books appointments via Vapi + Groq
  • Embedded an AI chat consultant on the website for real-time visitor qualification
  • Designed an automated lead capture pipeline that logs every conversation to a database
  • Deployed the entire stack on Railway in a single-command deployment
Impact & Results
  • 100% lead capture rate — every inbound call handled, every hour
  • $0 per call — running on Groq's free-tier LLM inference
  • Average lead qualification in under 90 seconds vs 5+ minutes for human agents
  • Live demo used to land new automation clients on Fiverr and Upwork
003 Product — Gumroad
NEXUS AI — J.A.R.V.I.S. Desktop Assistant

System-level AI desktop assistant with wake-word voice control, smart memory, live system monitoring, screen and clipboard awareness, and a holographic-style GUI. Supports Groq, Gemini, Claude, and local Ollama models. Packaged with PyInstaller and a license system — sold as a digital product on Gumroad at $29.

Python Groq / Gemini / Claude Wake Word Tkinter GUI PyInstaller License System
The Problem
AI chatbots live in the browser — disconnected from your OS. Power users need an AI that can monitor their system, read their clipboard, answer questions about what's on their screen, and respond to their voice — without switching apps or typing prompts.
The Solution
  • Built a native Windows AI assistant that integrates deeply with the OS — clipboard, processes, screenshots
  • Multi-provider LLM support: swap between Groq, Gemini, Claude, or Ollama without reconfiguring
  • Wake-word detection runs locally — no cloud, no latency
  • Holographic-style Tkinter GUI with animated HUD elements and minimal footprint
  • Packaged as a .exe with a license validation system for monetization
Impact & Results
  • Active product on Gumroad — generating passive revenue at $29/license
  • Demonstrates ability to ship, distribute, and monetize a software product end-to-end
  • Sub-200ms voice response latency using Groq's fast inference
  • Multi-model architecture future-proofed against LLM provider changes
004 SaaS Platform
VoiceForge AI — Voice Generation SaaS

Full ElevenLabs-alternative voice generation SaaS built with XTTS v2 (Coqui TTS) backend, a three-tier monetization model (Free / Pro / Enterprise), real-time audio streaming, and a Next.js 14 frontend. Entire stack deployed across Vercel, Railway, and Supabase free tiers.

FastAPI XTTS v2 Next.js 14 Supabase Upstash Redis Stripe
The Problem
ElevenLabs charges $22+/month for voice generation. Content creators and developers in emerging markets need high-quality TTS — but the pricing is prohibitive. The goal: build a full competitive alternative at near-zero hosting cost using open-source models.
The Solution
  • XTTS v2 backend on FastAPI with real-time audio streaming endpoints
  • Full SaaS auth flow: Supabase Auth, role-based access (Free/Pro/Enterprise)
  • Rate limiting with Upstash Redis — prevents abuse on the free tier
  • Next.js 14 frontend with React Server Components for instant page loads
  • Entire stack hosted at $0/month on free-tier infrastructure
Impact & Results
  • Full SaaS MVP shipped in under 2 weeks end-to-end
  • Demonstrated the complete SaaS engineering loop: auth → billing → rate limiting → delivery
  • Zero infrastructure cost on free-tier stack — proven zero-cost SaaS architecture pattern
  • Voice quality comparable to commercial APIs using open-source XTTS v2
005 Client Work
KHANS Lead Intake & CRM Automation System

End-to-end CRM lead capture, qualification, and follow-up system built for KHANS Codes & Standards using n8n and Make.com. Handles webhook-driven lead routing, multi-step SMS and email follow-up sequences, and real-time CRM logging — zero manual intervention required.

n8n Make.com CRM SMS Automation Email Sequences Webhooks
The Problem
The client's sales team was manually following up on form submissions — copy-pasting lead data, sending individual emails, and missing follow-ups when busy. Leads were going cold within 24 hours because the response time was too slow. They needed a system that responds instantly, at scale, for every lead.
The Solution
  • Webhook-triggered n8n workflow that fires within seconds of a form submission
  • Lead data automatically enriched, qualified, and routed to the correct CRM pipeline stage
  • 5-step follow-up sequences via SMS and email, personalized with dynamic lead data
  • Make.com handles cross-platform notifications to the sales team with full context
Impact & Results
  • Instant response — first follow-up delivered under 30 seconds of form submission
  • Eliminated 10+ hours/week of manual follow-up work
  • 100% lead logging accuracy — no lead falls through the cracks
  • Follow-up rate increased from ~40% to 100% across all lead channels
05 — Experience

Where I've
Worked

AI SaaS Builder
Freelance Engineer
KHANS C&S
Education
Independent AI SaaS Developer
Self-Directed · Remote 2023 – Present
  • Built and shipped 3 production SaaS platforms: CallSaaS (multi-tenant AI calling), VoiceForge AI (ElevenLabs-alternative TTS), and AI Workforce Platform (virtual employee system) — each with full auth, billing, and rate limiting.
  • Engineered a zero-cost SaaS architecture using Groq (free-tier LLM inference), Supabase (auth + database), Railway (backend hosting), and Vercel (frontend) — reducing operational cost to near $0.
  • Shipped NEXUS AI, a monetized J.A.R.V.I.S.-style Windows assistant sold on Gumroad at $29/license with a built-in license validation system.
  • Deployed production AI agents on GratisVPS (6GB RAM, no card) using PM2, Groq API, and Supabase — proven zero-cost hosting stack for AI workloads.
FastAPINext.js 14GroqXTTS v2SupabaseReact/VitePM2
Senior Freelance Python & Automation Engineer
Fiverr · Upwork · Direct Clients 2022 – Present Remote · Worldwide
  • Delivered 15+ automation and full-stack projects for clients in India, USA, UAE, UK, Canada, and Germany across two years of active contracting.
  • Built the Riedel STAGE™ headless intercom client for an enterprise broadcast facility in Germany — the most technically complex WebRTC/embedded Linux project in the client's vendor history.
  • Engineered web scraping frameworks for JS-heavy and protected platforms with rotating residential/mobile proxies and session management for ongoing client data operations.
  • Built n8n and Make.com workflows for AI content pipelines, YouTube channel management, and email enrichment systems for business clients globally.
  • Maintained 5-star ratings across platforms through clean code, thorough documentation, and proactive post-delivery support.
PythonSeleniumPlaywrightScrapyn8nMake.comFastAPI
Automation Engineer — CRM & Lead Systems
KHANS Codes & Standards 2025 – Present Remote · Client Project
  • Architected an end-to-end CRM lead intake and follow-up automation system using n8n and Make.com as the backbone — from form submission to qualified lead in under 30 seconds.
  • Designed webhook-driven pipelines that route, qualify, and log leads into the CRM in real time, eliminating manual data entry entirely.
  • Built 5-step personalized follow-up sequences delivered via SMS and email with dynamic lead data insertion and configurable timing.
  • Coordinated system access, OAuth integrations, and live deployment with a cross-functional team under a tight delivery timeline.
n8nMake.comCRMWebhooksSMS AutomationEmail Sequences
B.Sc. in Computer Science & Engineering
Dhaka International University 2022 – Present Dhaka, Bangladesh
  • Pursuing a full CSE degree while simultaneously building and shipping production systems for paying clients — the two tracks directly inform each other.
  • Self-taught across Python automation, full-stack web development, AI/ML integration, WebRTC, embedded Linux, and cloud infrastructure in parallel with formal coursework.
  • Strong foundation in algorithms, data structures, and software architecture that directly informs the design of every production system built professionally.
CSEAlgorithmsSoftware ArchitectureSelf-Taught AI/ML
06 — Reviews

What Clients
Say

★★★★★

The AI workflow he built for our lead system was a game changer. Every lead now gets followed up within 30 seconds — automatically. Our team's time is freed up for actual closing.

A
Ahmad K.
Operations Director
Direct
★★★★★

Built an n8n workflow that saved our marketing team 20+ hours a week. Communication was extremely clear throughout. Delivery was ahead of schedule with excellent documentation.

S
Sarah K.
Marketing Manager, USA
Upwork
★★★★★

The web scraping framework extracts data from sites I thought were completely locked down. Clean code, great error handling, and he explained every technical decision. Will hire again.

T
Thomas B.
Data Analyst, UK
Fiverr
★★★★★

Rare combination: technically exceptional AND a great communicator. He understood our requirements faster than any developer I've worked with and delivered a system that's been running flawlessly for months.

M
Michael R.
Founder, UAE
Direct
★★★★★

Our AI video pipeline in n8n goes from a brief text prompt to a finished video in under 10 minutes. It replaced two freelancers and an entire afternoon of manual work every single day.

L
Lisa W.
Content Director, Canada
Upwork
★★★★★

He solved a WebRTC problem in 48 hours that our in-house team had been struggling with for weeks. Deep technical knowledge, zero hand-holding needed, and genuinely proactive about edge cases.

J
Jonas H.
CTO, Germany
Direct
★★★★★

The AI workflow he built for our lead system was a game changer. Every lead now gets followed up within 30 seconds — automatically. Our team's time is freed up for actual closing.

A
Ahmad K.
Operations Director
Direct
★★★★★

Built an n8n workflow that saved our marketing team 20+ hours a week. Communication was extremely clear throughout. Delivery was ahead of schedule with excellent documentation.

S
Sarah K.
Marketing Manager, USA
Upwork
07 — Writing

Technical
Articles

WebRTC · Embedded
Building a Headless WebRTC Intercom on Raspberry Pi: The Complete Guide

How I reverse-engineered a proprietary intercom protocol, solved Keycloak token refresh edge cases, and piped real microphone audio through PulseAudio FIFOs into a headless Chromium instance.

2025-04 Read Article →
SaaS · Infrastructure
The Zero-Cost AI SaaS Stack: Groq + Supabase + Railway + Vercel

A practical breakdown of how to build and deploy a production multi-tenant AI SaaS with user auth, rate limiting, and payment integration — running at $0/month on free-tier services until you hit real scale.

2025-03 Read Article →
n8n · Automation
n8n vs Make.com in 2025: A Production Developer's Honest Comparison

After building over 20 workflows across both platforms for real clients, here's what I've learned about when to use each one — including the edge cases, pricing gotchas, and hidden limitations nobody talks about.

2025-02 Read Article →
08 — Contact

Let's Build
Something

Ready to talk about your project?

I'm available for remote contracts, long-term engagements, and consulting. Whether you need an AI agent pipeline, a SaaS MVP, or an automation system — I'll give you a direct answer about what's buildable and what it takes.

Available for contracts — Responding within 12 hours
✓ Message sent! I'll respond within 12 hours.
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