Suvon Roy — Full-Stack Developer

000 Client Work Live Site

JI Fashion — Luxury Wedding Dress Sculpture Experience

A cinematic digital experience for a luxury fine-art studio that transforms wedding dresses into lasting sculptures. The site pairs editorial storytelling, immersive motion, and a refined commission journey with a fast, responsive React front end.

React Vite Editorial UI Responsive Design Conversion Flow

The Brief

JI Fashion needed an online presence with the same emotional weight as its product: custom sculptures that preserve a wedding dress as physical art. The experience had to feel premium from the first frame while clearly explaining an unfamiliar service and guiding visitors toward a commission.

What I Built

Cinematic video hero and branded loading sequence for an immediate luxury feel
Scroll-led story that explains the journey from dress to data to sculpture
Responsive editorial gallery showcasing the finished pieces as fine art
Focused commission and registry calls to action with a streamlined inquiry flow

Outcome

A distinctive digital brand experience that makes the service instantly understandable
Motion and typography reinforce the luxury positioning without compromising responsive behavior
Clear process, gallery, and commission paths turn storytelling into a practical conversion journey
Production-deployed and available at jl974.vip

↗ Live Site

001 Product Platform Live Site

BJBaji — Multi-Vertical Gaming Platform

A responsive entertainment platform that brings sportsbook, slots, live casino, crash, fishing, lottery, table, and arcade experiences into one cohesive product. The interface supports fast game discovery, localized content, promotions, VIP rewards, referrals, and complete account flows.

React Vite REST APIs Localization Responsive UI

The Brief

The product needed to organize a large catalogue of sports and gaming content without making the experience feel crowded. It also had to connect acquisition, account, promotion, rewards, and payment journeys in a mobile-first interface designed for frequent use.

What I Built

Unified lobby with category navigation, provider discovery, search, favorites, and popular-game surfaces
Responsive registration, sign-in, account, wallet, deposit, and withdrawal journeys
Promotion centre with welcome offers, rebates, VIP rewards, and referral tracking
Localized English and Bengali product copy across the core customer experience

Outcome

One consistent interface across a broad set of content categories and providers
Mobile-first navigation keeps high-frequency actions close and easy to reach
Reusable product surfaces support promotions, rewards, referrals, and account management
Production-deployed and available at bjbaji.win

↗ Live Site

002 Product Platform Live Site

Jeetsi — Sportsbook & Casino Platform

A full-featured sportsbook and gaming interface combining live sports markets, a real-time bet slip, casino discovery, user accounts, wallet workflows, bonuses, VIP progression, and referral features in a single responsive React application.

React Vite Sports APIs Auth & Wallet Responsive UI

The Brief

Jeetsi needed a cohesive front end for two interaction-heavy products: a sportsbook built around live markets and bet placement, and a casino lobby designed for fast browsing. Both experiences had to share a clear account, wallet, rewards, and support system across desktop and mobile.

What I Built

Sports navigation with event filtering, live odds, selections, stake controls, and calculated returns
Casino discovery with provider filters, rankings, favorites, categories, and embedded game launch flows
Integrated registration, referral validation, profile, wallet, bonus, and VIP experiences
Adaptive layouts and persistent mobile navigation for quick access to core actions

Outcome

A unified product experience across sportsbook, casino, rewards, and account features
Clear interaction states support complex real-time selection and bet-slip workflows
Responsive information architecture keeps a feature-rich platform usable on smaller screens
Production-deployed and available at jeetsi.com

↗ Live Site

003 Client Work Live Site

NORTH/FORM — Premium Clothing Brand Website

Full brand website for NORTH/FORM, a premium clothing label. Built to communicate the brand's identity with precision — editorial layout, fluid animations, product showcasing, and a conversion-focused UX. Deployed on Vercel with a fast, responsive front-end that looks as sharp on mobile as it does on desktop.

HTML / CSS / JS Animations Responsive Design Brand UI Vercel

The Brief

NORTH/FORM needed a website that matched their brand positioning — clean, premium, and intentional. Fashion-brand sites live or die on first impressions; the goal was a front-end that felt editorial without sacrificing load speed or mobile experience.

What I Built

Premium editorial layout with strong typographic hierarchy and whitespace-first design
Smooth, performant animations and transitions that reinforce the brand's identity
Fully responsive — pixel-perfect across mobile, tablet, and desktop viewports
Optimised for fast load times — no heavy framework overhead, deploys instantly on Vercel

Outcome

Live brand presence that communicates premium positioning at a glance
Fluid animations enhance the browsing experience without affecting performance
Mobile-first layout — where the majority of fashion brand traffic lands
Deployed and live at annimation-omega.vercel.app

↗ Live Site

004 Client Work Live Site

Rays UTC Cleaning — Conversion-Focused Business Site

Full business website for a professional cleaning company. Built to convert visitors into booked clients — clear service tiers, trust-building sections, and a frictionless contact flow. Mobile-first static site, local SEO ready, production-deployed.

HTML / CSS / JS Responsive Design Lead Capture Local SEO

The Brief

Rays UTC Cleaning needed a professional online presence that could compete with larger competitors in local search — a site that communicated services clearly, built trust quickly, and made contact dead simple.

What I Built

Conversion-focused layout with service tiers, testimonials, visible CTA above fold
Mobile-first responsive design — 70%+ of local service traffic is mobile
Contact form wired to lead capture; no missed inquiries from after-hours visitors
Structured for local SEO — semantic HTML, meta tags, fast load times

Outcome

Live at raysutcleaning.nl — production site the client actively uses to acquire customers
[REPLACE: # of leads generated / conversion rate / page speed score]
No framework overhead — plain HTML/CSS/JS, loads in under [X]s on mobile
Client can update copy without touching code

↗ Live Site

005 Client · Germany Production

Riedel STAGE™ Headless Intercom — Replaced €2,000 Hardware

A German broadcast facility needed a Riedel intercom node without buying a physical €2k SmartPanel. I reverse-engineered the proprietary STAGE™ protocol and built a headless Node.js client running on a Raspberry Pi 4. Full Keycloak auth, SockJS signaling, WebRTC Opus audio, PulseAudio FIFO pipeline — deployed as a systemd service. Live in their production environment.

Node.js WebRTC / Opus Raspberry Pi ARM64 Keycloak OIDC PulseAudio SockJS / STOMP

The Problem

The Riedel STAGE™ Virtual SmartPanel only runs inside Chromium browsers. The client needed it on embedded ARM64 hardware with no monitor, no GUI, real microphone I/O from a HiFiBerry ADC Pro hat — and they didn't want to pay €2,000/unit for the official hardware.

What I Built

Reverse-engineered Riedel's SockJS/STOMP wire protocol from browser DevTools — no SDK, no documentation available
Keycloak OIDC token refresh loop holding sessions stable for 8+ hour production shifts
arecord → named FIFO → Chromium fake-device pipeline; solved a SIGPIPE watchdog bug that killed audio on Chromium reloads
Single-command Pi installer, ARM64 native addon build, systemd unit with auto-restart

Business Outcome

€2,000+ hardware cost eliminated per intercom unit
[REPLACE: estimated savings across X units deployed / annual savings]
Zero dropouts observed across multi-hour live production sessions
Replaced a project the client had been trying to solve for [REPLACE: X months]

↗ Live Demo GitHub

006 Client Work Live Demo

KHANS Codes & Standards — 30-Second Lead Response Automation

KHANS's sales team was losing leads to slow follow-up. I built an n8n + Make.com automation that turns a form submission into a qualified, logged, and followed-up lead within 30 seconds — at any hour. Their sales person recovered 8–10 hours/week of manual data entry, and follow-up rate went from "whatever they remembered" to 100% of leads.

n8n Make.com CRM SMS Automation Email Sequences

The Problem

Sales person was copy-pasting form submissions into a spreadsheet, then sending follow-up emails one by one. Leads submitted on weekends or evenings often didn't get a reply until the next business day. Lost leads were going to faster competitors.

What I Built

n8n webhook catches form POST, parses lead, writes to CRM in correct pipeline stage
First SMS fires within ~15 seconds; 5-step email sequence over 3 days with conditional branching
Make.com sends instant Slack alert to sales person with full lead context
Zero changes to existing form — webhook-only integration, no code on their server

Business Outcome

Response time: 8+ hours → under 30 seconds
8–10 hours/week recovered from manual data entry
[REPLACE: $X estimated additional revenue from faster follow-up / Y% increase in qualified lead conversion]
Running unattended since delivery — zero maintenance calls

↗ Live Demo GitHub

007 Deployed Sales Tool

AI Voice Agent for Service Businesses — Roofing Demo

A working AI voice agent built as a tangible sales demo for service businesses. "Jordan" — a Vapi voice agent — answers inbound calls, qualifies leads, and books appointments. Groq-powered chat widget on the site, FastAPI backend logging every interaction. I used this to close 3 paid automation contracts on Fiverr/Upwork in [REPLACE: timeframe].

Vapi Groq FastAPI Voice Agent Railway

Why I Built It

Most SMB owners have heard "AI voice agent" but never seen one working on their actual phone line. I wanted a tangible demo I could show during sales calls — "here's your missed call answered, here's the lead logged, here's the appointment booked." Built in a week.

How It Works

Vapi voice agent picks up inbound calls, runs qualifying questions, schedules callback
Groq/LLaMA chat widget embedded on site, system-prompted for industry Q&A
FastAPI backend writes every conversation turn and lead contact to Supabase
Single Railway deployment — backend + frontend on one domain

Business Outcome

Closed 3 paid contracts directly from this demo — [REPLACE: $X total contract value]
Voice qualification: ~75 sec per call vs 4–6 min on human calls
Groq free tier kept inference cost at zero; total infra cost was Vapi per-minute billing only
Proved a working AI voice stack for an SMB is days of work, not months

↗ Live Demo GitHub

008 SaaS Platform Live Demo

VoiceForge AI — Production TTS SaaS in 12 Days

A full ElevenLabs alternative built around Coqui XTTS v2. Three-tier billing (Free / Pro / Enterprise), Supabase auth, Upstash rate limiting, real-time audio streaming, Next.js 14 frontend. Shipped from idea to live product in ~12 days, running at ~$0/month on free tiers until real traffic justifies scaling.

FastAPI XTTS v2 Next.js 14 Supabase Stripe

The Starting Point

ElevenLabs charges $22+/month. XTTS v2 is open-source and produces similar quality on clean input. I wanted to prove I could wrap it in a real SaaS — auth, billing tiers, rate limiting, frontend — and ship the whole thing in under two weeks at zero infra cost.

Stack Decisions

FastAPI streaming endpoint — XTTS generates chunks, client receives audio as it renders
Supabase Auth with JWT; role stored in user metadata, checked on every API request
Upstash Redis for per-user sliding-window rate limiting, configurable per tier
Next.js 14 with RSC — most pages server-rendered, only audio player is client-side
Railway + Vercel + Supabase — all free tier, total monthly cost: ~$0

What This Proves

Full production SaaS shipped in ~12 days
Auth + billing wiring took longer than the XTTS integration itself
Rate limiting actually mattered — one user could exhaust free CPU in minutes without it
If you need a SaaS MVP fast, this is what's possible

↗ Live Demo GitHub

009 Product · Gumroad Live

NEXUS AI — Monetized Windows Desktop Assistant

A JARVIS-style desktop assistant sold on Gumroad at $29/license. Wake-word detection, screen + clipboard awareness, multi-provider LLM support (Groq, Gemini, Claude, Ollama), packaged as a .exe with a FastAPI license validation backend. Proves I can build, package, and monetize a real product — not just deliver client work.

Python Multi-LLM Wake Word PyInstaller License System

What I Was Solving

Every AI tool lives in a browser tab. I wanted one that knows what process is eating my CPU, can read what I just copied, see what's on my screen, and respond when I say its name — no tab switching, no typing. And I wanted to sell it, not just build it.

Technical Decisions

Wake-word runs entirely local via Porcupine — no audio sent to cloud, activates in <100ms
LLM provider is swappable — Groq for speed, Ollama for offline, Claude/Gemini for quality
Screenshot + clipboard context injected into every prompt automatically
License validation backend so I can issue and revoke keys per Gumroad sale

What It Proves

Built, packaged, and monetized as a product — not a client deliverable
[REPLACE: total units sold / total revenue generated]
End-to-end ownership: code, packaging, distribution, billing, license revocation
Demonstrates I think about products, not just code

↗ Buy on Gumroad — $29 GitHub

010 Automation Tool Open Source

USA Visa Booking Automation — TLS Fingerprint Evasion + reCAPTCHA Solver

A stealth automation client for a Portuguese government visa portal. Bypasses TLS fingerprinting, solves reCAPTCHA v2/v3 via CapMonster, rotates residential proxies, and auto-books appointment slots the moment they open. Designed to defeat bot-detection systems that block conventional Selenium/Playwright approaches.

Python TLS Fingerprinting CapMonster Proxy Rotation Playwright

The Problem

Government visa portals detect and block standard browser automation via TLS handshake fingerprinting, browser attribute leakage, and aggressive reCAPTCHA. Appointment slots vanish in seconds, making manual booking nearly impossible for users in high-demand queues.

What I Built

TLS fingerprint spoofing to mimic a real Chrome session at the TCP/SSL layer — invisible to Cloudflare-class bot detection
CapMonster integration solving reCAPTCHA v2 and v3 tokens on the fly with sub-5s turnaround
Residential proxy pool rotation per request, cycling IPs to evade rate-limit bans
Slot polling loop: checks availability every N seconds, auto-submits booking form on first open slot

Technical Depth

Bypasses TLS-based bot detection — no standard library exposes this level of control
Handles session token refresh to maintain authenticated state across long polling runs
Configurable retry logic, exponential back-off, and failure alerting
Pure Python — no headless browser overhead; fast and resource-light on VPS

View on GitHub

011 Automation Tool Open Source

IRCTC Ticket Booking Automation — Indian Railways Fast-Track Bot

High-speed Python automation for the Indian Railways (IRCTC) ticketing portal. Detects seat availability in real-time, auto-fills passenger details, navigates the multi-step checkout flow, and completes payment before slots disappear — critical in a system where Tatkal quota sells out in under 60 seconds.

Python Selenium Automation CAPTCHA Bypass Session Handling

The Problem

IRCTC Tatkal and premium quota tickets open at a fixed time and sell out within 30–60 seconds during peak demand. Manual booking via browser is practically impossible for high-demand routes — the multi-step auth + form flow takes longer than the window stays open.

What I Built

Pre-authenticated session holding login state across polling windows — no re-login delay at booking time
Real-time seat availability polling with configurable class/quota/train filters
Auto-fill passenger details, berth preferences, and contact info in a single sweep
Payment flow navigation with CAPTCHA handling to complete checkout end-to-end

Engineering Notes

Sub-second form-fill using pre-staged data structures — no typing simulation delays
Handles IRCTC session timeouts and re-authentication transparently
Configurable alert system: Telegram/email notification on successful booking or failure
Demonstrates deep knowledge of session-gated, time-sensitive automation at scale

View on GitHub

012 AI Data Tool Open Source

AI Mail Scraper — Gemini-Powered Email Extraction with GUI

A desktop email harvesting tool with an AI brain. SeleniumBase navigates and scrapes contact data from target sites; Gemini AI classifies and deduplicates results; a Tkinter GUI lets non-technical users configure targets, run scrapes, and export clean CSVs — no command line required.

Python SeleniumBase Gemini AI Tkinter GUI CSV Export

Why I Built It

Outbound sales teams waste hours manually hunting for contact emails across directories, LinkedIn, and company sites. Existing scraper tools dump noisy, duplicated data with no intelligence layer. I wanted a tool that scrapes, classifies, and delivers clean leads — wrapped in a UI a non-developer can actually use.

How It Works

SeleniumBase undetected-mode crawls target URLs, handling JS-rendered pages and basic bot protections
Gemini AI classifies extracted emails by role/department and filters out noreply/support noise
Deduplication pass removes cross-source duplicates before export
Tkinter GUI: set targets, run, monitor progress, one-click CSV export — zero terminal required

What This Shows

AI layer adds real signal — classified leads, not raw regex dumps
GUI wrapping a technical tool for non-developer end users — product thinking, not just engineering
SeleniumBase undetected mode handles sites that block Playwright/vanilla Selenium
Portable: ships as a standalone .exe via PyInstaller for Windows distribution

View on GitHub

013 Fintech Tool Open Source

Trading Bot Pro — Automated Strategy Execution Engine

A Python-based algorithmic trading engine that executes configurable strategies against live market data. Supports multiple exchanges/brokers via unified API abstraction, real-time signal generation, position management, stop-loss/take-profit logic, and trade logging — running unattended 24/7.

Python Trading APIs Strategy Engine Real-Time Data Risk Management

What It Does

Trading Bot Pro connects to exchange APIs, processes live price feeds, and executes buy/sell orders based on configurable technical strategies — all without human intervention. Designed for reliability: it handles API downtime, reconnects automatically, and never leaves an open position unguarded.

Core Architecture

Unified exchange adapter layer — swap brokers by changing one config value
Signal engine: pluggable strategy modules (RSI, MA crossover, custom indicators)
Position manager: entry sizing, stop-loss, take-profit, and trailing stop enforcement
Trade log with full execution history, PnL tracking, and configurable alerting (Telegram/email)

Engineering Highlights

24/7 unattended operation — reconnect logic, error recovery, systemd-compatible
Paper trading mode for strategy validation before going live with real capital
Modular strategy API — add a new signal source without touching core execution logic
Demonstrates real-time event-driven Python at the intersection of finance and automation

View on GitHub

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I Build Full-Stack Products That Ship.

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Ready to ship?

I Build Full-Stack
Products That Ship.

The Engineer
Behind the Systems

Technical
Expertise

Packages &
Pricing

Featured
Case Studies

How We'll
Work Together

What Clients
Say

Questions
Buyers Ask

Technical
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Let's Build
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