Projects
Impactful deliveries
Guardrails for data pipelines, automation for fast feedback, and Cloud Run deployments with observability built-in.
AI Agent for Automated Knowledge Retrieval (RAG + MCP)
Private RAG agent on GCP Cloud Run with FAISS indexing, multi-persona modes (Developer, QA, Data Engineer), and admin doc uploads.
- 45% reduction in support queries
- Answers in seconds vs minutes for internal docs
- Scalable knowledge automation with MCP-style orchestration
Enterprise QA Automation Framework (API + UI + ETL)
Unified automation with Pytest schema checks, Playwright UI flows, ETL validations (Pandas/Spark), pytest-xdist parallelism, and CI-ready Docker runs.
- 65% execution time improvement via parallelism
- 90% component reuse across teams
- Zero-manual-test release cycles with HTML/Allure reporting
MicroSaaS: Automated Cloud Deployment Advisor
Analyzes GitHub repos and outputs deploy plans for GCP/Vercel/AWS, plus Dockerfile and CI/CD suggestions for instant onboarding.
- Instant deployment blueprints for repos
- Cuts onboarding friction for junior devs
- Foundation for SaaS monetization
ETL Automation Framework for MySQL/Postgres/Cloud Storage
Schema validation, file-vs-DB comparisons, CSV/JSON/Parquet pipelines, and Airflow DAGs orchestrating validations at scale.
- Zero manual validation for multi-GB datasets
- Automated schema/row/agg checks
- Reusable patterns for heterogeneous sources
Containerized QA & AI Operations Platform
Docker/Compose environments for frontend+CMS+API+DB with reproducible builds, isolated QA, and AI agent services.
- 90% reduction in environment inconsistencies
- Faster onboarding and local testing
- Reproducible multi-service stacks for QA and AI agents