AI-powered SaaS platform helping job seekers with resume–JD matching, ATS optimization, job
automation, and agent-assisted workflows.
Owned complete technical architecture: frontend, backend, infra, performance, and deployments
Designed scalable async pipelines for resume parsing, scoring, and background processing using Redis + BullMQ workers
Built a bulk + transactional mailing system using AWS SES, handling product notifications, onboarding flows,and campaign-based emails with deliverability controls
Improved frontend performance by ~95% via SSR/CSR boundary optimization, aggressive prefetching,IndexedDB caching, and API response tuning
Improved backend throughput and stability by ~60% using Node.js clustering, queue-based workloads, caching layers, and connection pooling
Developed internal dashboards to track users, agents, job activity, and system health
Led production deployments on AWS (EC2, S3) with Nginx reverse proxy, SSL, environment hardening, and monitoring
Tech stack: Next.js, Node.js, MongoDB, Redis, BullMQ, AWS (EC2, S3, SES), Nginx, WebSockets.