Full-Stack SaaS Development &
Universal Business Automation

Large-scale transactional and outreach operations face severe provider rate limits, database lock contention, dead proxy bottlenecks, and catastrophic duplicate email delivery risks during server reboots or network drops.

Architected a production-grade distributed automation engine in Python. Built around a crash-proof SQLite WAL database with sub-millisecond atomic lease locks, real-time multi-threading (ThreadPoolExecutor), Playwright bot-stealth challenge solvers, and dynamic residential proxy failover with custom TCP socket tuning (--disable-quic). Includes an automated IMAP audit sweep guaranteeing 100% zero-duplicate dispatching at 500,000+ daily volume.

Successfully deployed on Windows Server 2022 VPS with 5-10 concurrent workers, sub-second atomic queue leasing, automatic account exhaustion rotation, and verified live delivery across international providers with 0 duplicate dispatches.

Financial markets exhibit shifting regimes (high volatility, lateral ranges, and liquidity gaps) where single-model or traditional retail strategies inevitably fail due to high drawdowns.

Deployed a diversified suite of 8 automated Python engines running 24/7 on a secure VPS. The fleet includes Machine Learning Ensembles (XGBoost + LightGBM), trend-alignment filters, statistical breakout snipers, and a dedicated Options writing engine (selling Bull Put spreads with adaptive VIX-Delta and 21-DTE Gamma Risk Shields). Managed by an automated risk sentinel and scheduler watchdog.

Highly diversified market exposure with 0 active execution errors. Empirically verified performance: +14.2% annualized options yield (89.4% win rate), +65.79% ROI on NASDAQ v5, and +22.70% on US30 NY Session Breakout, with total portfolio drawdowns strictly limited under 5-11%.

Stock index markets (NASDAQ/US100) experience high volatility and liquidity traps where traditional retail strategies fail due to massive drawdowns.

Architected a Quant AI Ensemble system (XGBoost + LightGBM) featuring 19 real-time quantitative features (US100/US500 inter-market spread, Synthetic VIX, VWAP deviation bands) and a 4.5% daily loss FTMO shield.

Verified empirical performance: +32.23% monthly ROI, 80% Win Rate, and a tiny 1.00% Max Drawdown with automated MetaTrader 5 execution.

Over 1 in 7 online dating profiles are fake or romance scammers, resulting in over $1.3 Billion in annual victim losses.

Architected and deployed a full-stack SaaS platform featuring AI facial recognition, WHOIS domain inspection, reverse social media search, and automated Stripe monetization.

Deployed 24/7 automated cloud backend with 99.2% biometric accuracy, sub-second latency, GA4 integration, and 8 localized languages.

Retail traders lose life savings to unregulated offshore forex, CFD, and crypto brokers operating without valid financial licenses.

Engineered a global regulatory intelligence engine indexing 34,670+ enforcement actions across 15 worldwide supervisory authorities (SEC, CFTC, NFA, FCA, BaFin, FINMA, AMF, CNMV, CONSOB, CySEC, ASIC, CSA, MAS, SFC, DFSA) with sub-5ms REST API latency and WHOIS domain inspection.

High-converting global financial security platform indexing 34,670+ dossiers across 8 localized languages, automated B2B REST API, and PyPI SDK integration.

E-commerce brands need real-time competitor pricing, but standard crawlers get instantly blocked by Cloudflare and Akamai anti-bot firewalls.

Built a Python scraper using `curl_cffi` to mimic browser TLS handshakes and semantic filters to eliminate accessory noise (cases, cables).

Automated delivery of styled "Midnight Gold" Excel sheets, enabling automatic hyperlink mapping and decreasing client catalog update overhead by 85%.

Scraped web data is often disorganized, requiring manual charting and layout adjustments before business executives can use it.

Designed a catalog crawler that dynamically formats custom "Corporate Steel Blue" theme charts directly inside Excel sheets via openpyxl.

Executive stakeholders receive self-updating visual price trends immediately ready for review, saving 15+ hours of manual report assembly weekly.

Sales outreach teams lose hours extracting listings manually and cleaning telephone and email typos from public business directories.

Developed a directory parsing engine with custom regex verification, automatically syncing validated leads to Google Sheets via API.

A zero-maintenance B2B lead sheet synchronized in real-time under a "Sales Emerald" layout, accelerating sales operations by 4x.

Retail traders lose millions to offshore scam brokers daily, but official regulatory blacklists are slow and tedious to search.

Built an interactive single-page application with a dynamic risk calculator and a curated database of regulated brokers.

A lightning-fast, glassmorphic verifier tool that warns traders of regulatory red flags and calculates trust ratings instantly.

Sports enthusiasts need live football match scores on the go, but commercial sports APIs charge expensive subscription fees.

Engineered a lightweight, asynchronous Telegram Bot using the public, rate-limit free ESPN API to fetch fixtures and results.

Real-time match data, lineups, and past results grouped by league, fully navigable via custom keyboard reply layouts.

Finding surebets (risk-free arbitrage opportunities) is impossible manually due to rapid odds fluctuations across bookmakers.

Developed a headless Selenium scraper that extracts real-time odds, applying reciprocal calculations to identify arbitrage margins.

Automatically exports structured odds and triggers real-time alerts for value opportunities exceeding 8% market average.

Financial scouts and analysts waste hours manually combining athletic statistics from FBref with market values from Transfermarkt.

Built a dual-site web scraper that crawls both directories and maps players semantically to normalize and merge the data records.

Generates clean CSV, Excel, and JSON outputs combining player performance stats with financial valuations in one click.

Online dating scams (catfishing) cost victims millions of dollars annually, but average users lack tools to verify if a profile photo is authentic or stolen.

Engineered a full-stack web application featuring a fast Python (FastAPI) backend that serves as an anti-scam hub for dating safety audits.

A production-ready, user-friendly portal deployed on Render, demonstrating complete end-to-end full-stack capabilities, API routing, and custom domain configuration.