Built ApplyOps, an AI-powered job search and application management platform that brings job discovery, AI-based job matching, resume tailoring, and application tracking into a unified workflow. Designed an orchestration layer that coordinates multiple job-board extractors, processes job listings through AI pipelines, and synchronizes results with a real-time application tracking dashboard. Implemented AI-powered job-fit scoring to evaluate job descriptions against candidate profiles, along with sponsorship matching to help identify relevant opportunities based on work-authorization requirements. Developed one-click CV tailoring that analyzes job descriptions and generates targeted resume content, with automated PDF generation through LaTeX/Typst templates. Built automated Gmail integration to analyze recruiter responses and update application stages such as Interviewing and Rejected, reducing manual tracking throughout the job-search lifecycle. Designed the application as a modular, self-hostable system using React, TypeScript, Express, SQLite, Drizzle ORM, Docker, and multiple LLM providers including OpenAI, Gemini, OpenRouter, and local LLM endpoints. Tech: AI/LLMs · Python · TypeScript · React · Express · SQLite · Drizzle ORM · Docker · Web Scraping · REST APIs · Gmail OAuth · Automation · System Architecture