A documented record of high-frequency scrapers, secure FinTech ledgers, and resilient cloud infrastructure built for the next generation of business.
The Goal: Automate manual discovery and qualification of government contracts on GeM.
The Build: Autonomous scraping architecture with custom AI routing.
The Goal: Scrape data at scale for sentiment analytics.
The Build: Heavy-duty tool with rotating proxies and AI parsing layer.
The Goal: Automated gold investment ledger for luxury retail.
The Build: Secure financial backend with recurring mandates.
Built a browser-based visual canvas coupled with AI generation for Instagram automation.
The Problem: Managing high-volume Twitter (X) accounts requires perfect chronological delivery, dynamic context generation, and API rate-limit management.
The Build: We utilized background job queues (BullMQ/Redis) paired with LLM agents. The system autonomously generates context-aware threads and manages precise delivery schedules without human input.
The Mission: Engineer a high-performance orchestration layer to eliminate AWS Management Console overhead, enabling low-latency control over ARM-based compute clusters.
The Architecture: A security-hardened Node.js engine utilizing AWS SDK v3 for real-time state synchronization. Features include automated lifecycle management, a "Global Termination" protocol for rapid resource cleanup, and a custom metadata pipeline for developer asset exports.
The Goal: Deliver high-quality image assets that load instantly and look perfect on every platform—from high-traffic web apps to social media feeds.
The Build: We engineered an intelligent image engine that resizes and optimizes assets on-the-fly. It reduces file sizes by up to 80% using next-gen formats (WebP) and is specifically hardened to ensure your images never "break" when shared on WhatsApp, Instagram, or Facebook.