Resume

Developed an AI-powered Career Coach Agent utilizing Next.js, Flask, Python, Pinecone, and Livekit, Enabled personalized career guidance and resume analysis, improving user engagement by at least 25%. Architected and launched five distinct LLM-based conversational flows within the AI Career Coach, achieving a 40% reduction in user query resolution time and improving user satisfaction. Implemented a real-time feedback mechanism for users to rate the AI Career Coach Agent’s responses, resulting in a 30% increase in positive user engagement scores and a 10% reduction in negative feedback.

I architected and deployed the company’s client-facing portal using Next.js, TypeScript, and Server-Side Rendering (SSR), achieving a perfect 100 Lighthouse score by implementing optimized Static Site Generation (SSG), asset compression, and critical CSS prioritization. To streamline content management, I integrated Drupal as a headless CMS, reducing content update time by 50% for editors. The portal was hosted on AWS using S3 and CloudFront, ensuring global low-latency access, which significantly improved SEO rankings by 30% and increased organic traffic by 15% within three months.

I delivered scalable infrastructure solutions for enterprise clients by designing a cloud-agnostic role-based authentication system using FusionAuth, which secured access for multiple users and reduced unauthorized login attempts by 90%. To enhance deployment efficiency, I automated the process using GoCD and AWS EKS, cutting manual infrastructure setup time from 8 hours to just 45 minutes. Additionally, I built a low-code admin portal using React and Node.js, streamlining client onboarding, reducing support tickets by 30%, and improving user retention by 15%. By implementing infrastructure rightsizing and S3 lifecycle policies, I also optimized cloud costs, reducing monthly AWS expenses by 18%.

Advanced certification for designing distributed systems on AWS.