itssujeeth Selected Projects
Outcome-first write-ups on what was built, why, and what shipped.
A single command that points Claude Code at any inference backend (local Ollama, Anthropic, OpenAI, or Gemini) with a clean environment and no manual env-var juggling.
A 24-week, self-paced interactive curriculum shipped as a React app that teaches IT support managers to use Claude across their actual daily work.
An end-to-end proof-of-concept running ML model monitoring across three deployment paradigms (custom sklearn, AutoML Tabular, and BigQuery ML) on Google Vertex AI with Terraform-provisioned infrastructure.
A production-ready template that collapses the first 3 hours of MCP server setup to a single clone.
A five-zone enterprise agentic-AI platform that lets non-technical business teams self-serve AI-generated insights from governed enterprise data across six business domains.
A deterministic-first procurement automation platform for a precious metals retailer, automating reorder decisions across four metals and five sales channels with AI constrained strictly to an advisory role.
Cut the regression detection cycle from days to a 4-minute CI gate for LLM-based agents.
An LLM-driven pipeline that automatically remediates known security vulnerabilities across an enterprise codebase, replacing slow manual patching.
Three production retrieval-augmented-generation applications giving non-technical staff natural-language access to enterprise data and decision support.
An intelligent-automation solution that improves pricing precision and throughput using a custom named-entity-recognition framework paired with RPA.
An image-processing automation that eliminated a recurring high-volume manual workload, saving ~1,000 staff hours per year.
A static-code-analysis system that maps a sprawling enterprise application portfolio using knowledge graphs and graph neural networks, surfacing consolidation candidates data-driven rather than by intuition.
Static-analysis tooling and engineering standards that raised security vulnerability coverage by ~50% across the organization's CI/CD pipeline.
A computer-vision system that infers retail product attributes from imagery, replacing manual tagging and accelerating store onboarding.
A custom text-recognition pipeline that reliably extracts structured information from product packaging, where off-the-shelf OCR consistently failed.
A custom end-to-end hiring platform for a Fortune-class retailer, including a secure background-check system, that cut annual hiring process cost by ~$4M.