AI Application Developer / AI Engineer focused on building AI-powered automation systems, data migration platforms, crawling and auditing tools, predictive workflows, and data-driven applications. I work across full-stack development, backend systems, AI-assisted workflows, and database processing with practical product implementation.
I design safer, modular pipelines for validation, repair, and deterministic verification often combining LLM integration, web scraping automation, and robust REST/WebSocket APIs. My goal is to turn complex data and operational tasks into reliable, production-ready systems.
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CipherLens is an enterprise-focused security intelligence platform I built to bring multiple security tools into one unified workflow. It orchestrates tools such as Nuclei, OWASP ZAP, httpx, subfinder, Katana, Semgrep, Bandit, Gitleaks, and other security utilities, then normalizes their outputs into structured data.
The platform is designed to correlate findings, organize security evidence, identify risks, and present the results through a centralized dashboard with reports, AI-assisted analysis, and actionable recommendations.
I worked across the full stack, including the React frontend, FastAPI backend, Python-based scanner orchestration, tool integrations, data normalization, and security-focused workflow design.
Tech: React, FastAPI, Python, PostgreSQL, REST APIs, Docker, security tooling, AI-assisted analysis.
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