Senior Full Stack Developer VMock
Built and deployed MCP servers on AWS, exposing Resume Verification, Career Plan, and LinkedIn Optimizer as reusable agent tools adopted by two internal teams for AI integrations.
Designed and implemented Laravel/MySQL backends for a resume verification portal serving 800 students, including database architecture, resume-to-profile data conversion, experience-sharing workflows, and multi-layer authentication with LinkedIn data validation, disposable email detection, email verification, and OTP-based access control.
Engineered a Career Plan recommendation module adopted by 100 universities and serving 10,000 students, generating personalized upskilling roadmaps by mapping skill gaps to job tracks and relevant college/Coursera courses. Reduced OpenSearch latency from 3 seconds to 40 milliseconds and implemented a CP-SAT solver to maximize skill acquisition within time constraints.
Developed a real-time conversational AI resume-building agent using Python and WebSockets, enabling dynamic resume generation across 100+ predefined templates with structural constraints and bullet-level content optimization. Built an AI-powered RAG chatbot handling 250–300 client queries monthly, automating issue resolution through retrieved solutions and step-by-step JSON configuration fixes.
Optimized LinkedIn profile parsing through asynchronous processing, MySQL query optimization, and indexing, reducing execution time from 80 seconds to under 30 seconds. Modernized frontend tooling by migrating Webpack to Vite, transitioning to shadcn/ui and Tailwind CSS, upgrading Bootstrap v3 to v5, and updating legacy npm dependencies. Improved page load time by 30%, reduced development build time by 60%, and mitigated XSS vulnerabilities. Designed and maintained scalable MySQL schemas using Laravel migrations to ensure data integrity and efficient resume data retrieval.