A curated selection of our most impactful projects — from AI document intelligence to enterprise data platforms and full-stack SaaS applications.
An AI-powered system that automatically parses complex Piping & Instrumentation Diagrams (P&IDs) and extracts structured data — instruments, equipment, flow paths, tags — replacing hundreds of hours of manual engineering work. Deployed for an industrial manufacturing client.
Automated Bill of Materials extraction, validation, and reconciliation across multiple engineering document formats. Reduced BOM processing errors by 94% and cut turnaround time from days to minutes.
End-to-end data platform with Kafka-based real-time ingestion, dbt transformations, Snowflake warehouse, and a React dashboard. Processes 2M+ events/day for a B2B SaaS company with 50+ enterprise clients.
A scalable Playwright + Pytest automation framework for a HCM platform with 800+ automated test cases, parallel execution, and full CI/CD integration via GitHub Actions. Reduced release cycle from 2 weeks to 2 days.
A Next.js web application with an embedded RAG-powered Q&A system that lets employees query across internal documentation, policies, and knowledge assets — with source-cited answers and admin controls.
Designed and built a unified data warehouse aggregating data from 12+ source systems using Apache Airflow-orchestrated ETL pipelines, dbt transformations, and a BigQuery backend serving executive BI dashboards.
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