Sheshasaibaba Gujjari

Full stack engineer with 7 years of experience. I focus on fixing systems that are slow, broken, or don't scale well. That means things like cutting query times by 60%, dropping bundle sizes from 2MB to 200KB, and building AI pipelines that hit a 92% automated extraction rate. I do this across the full stack, from Angular and React frontends to Java Spring Boot backends and AWS infrastructure.

• Systems performance

  When something is slow, I find out why. That might be a bad MongoDB index causing full collection scans, a single-node database setup that needs to become a 3-node Replica Set with automated failover, a bloated JS bundle that never needed to be that large, or a Node process leaking memory under load. I track the root cause down and fix it with numbers to prove it worked.

• Full-spectrum engineering

  I have worked across the entire stack. WCAG-compliant Angular and React UIs across 2 MEAN/MERN projects serving 30 colleges in the SBCTC portal, a separate Java Spring Boot enterprise backend, real-time Socket.io orchestration for AI agents, and even React Native mobile apps. Whatever the layer is, I pick it up and ship it.

• AI pipeline architecture

  I built 40+ end-to-end document processing pipelines with custom OCR logic, NLP filtering, and a multi-stage LLM verification loop running locally on AWS. The system hit a 92% automated extraction success rate across 8,000+ college transcript templates.