TULASI KRISHNAKUMAR
FULL STACK WEB DEVELOPER AND DESIGNER
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Created an automated reconnaissance and asset discovery engine that integrates offensive utilities with AI-driven threat triage. Built a FastAPI backend backed by Celery and Redis to execute heavy subdomain discovery (subfinder), port scanning (httpx), and web crawling (katana) concurrently. Configured a PostgreSQL ledger to store asset records and integrated OpenAI/Ollama APIs to parse raw logs, filter out false positives, and suggest potential exploit targets. Exposes a clean REST API for configuring targets and viewing crawled subdomains.
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Developed an educational cybersecurity platform and live network simulation dashboard. Engineered a FastAPI (Python) backend to safely model network attack vectors including DDoS floods, dictionary brute-forcing, and phishing intercept points. Built a responsive React + TailwindCSS dashboard displaying live packet rates, network latency spikes, and vulnerability scoring via WebSockets. Integrated automated reporting modules enabling administrators to instantly export structured incident details into printable PDF audits and Excel spreadsheets.
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Designed and built a consent-first GPS tracking ecosystem featuring a React Native mobile app, a Node.js backend, and a real-time web dashboard. Implemented robust background location services with a permanent Android notification bar to comply with privacy laws. Integrated an offline queue using AsyncStorage that buffers up to 2,000 coordinates during connection drops and auto-syncs via batch uploads once restored. Fingerprinted devices with stable hardware-linked IDs and displayed active paths and accuracy zones on a dark-themed Leaflet.js dashboard map.
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Designed and developed a highly interactive, futuristic corporate portal for a cybersecurity firm using React, Vite, and Tailwind CSS. Implemented a 10-years-ahead dark-mode design with smooth animations powered by Framer Motion and custom particle networks via tsparticles. Structured the app using React Router DOM and optimized SEO indexing with dynamic metadata headers via React Helmet Async. Showcases core compliance matrices, interactive service grids (Red Teaming, Blue Teaming, GRC), and product catalogs at a fluid 60 FPS.
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Developed a full-stack, real-time quantitative trading analytics dashboard. The frontend is built on Next.js (React 19) and integrates TradingView's Lightweight Charts to display live candlestick data, technical indicators (EMA ribbons), and order execution flags. The backend, driven by Express.js, stream-calculates technical indices (such as RSI and EMA crossovers) from WebSocket tick feeds and broadcasts trade signals at sub-second speeds.
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