Portfolio
Selected delivery proof across data platforms, AI agent systems, cloud infrastructure, and resilient automation workflows.
Enterprise Data Warehouse & Analytics Platform
Built a BigQuery-centered warehouse with scheduled ETL, Streamlit dashboards, and unified reporting across four sources.
Enterprise Web Automation & Scraping Platform
Delivered a proxy-aware scraping platform with stealth browsers, retries, and monitored extraction pipelines.
Cloud-Native Data Orchestration Platform
Implemented Airflow on Kubernetes with custom operators, dashboards, and autoscaling behavior tuned to workload peaks.
Autonomous Research Agent Stack
Created a multi-agent research workflow that gathers, synthesizes, and packages findings with source links and confidence notes.
Revenue Operations Automation Command Center
Built an automation layer that synced forms, CRM events, alerting, and qualification rules into one operational command center.
AI Support Triage & Escalation System
Designed an AI triage system that classifies inbound issues, drafts responses, routes escalations, and holds risky tickets behind review checkpoints.
Case study archive
All delivery examples
Review the full set of AI, data, cloud, and automation case studies.
- Enterprise Data Warehouse & Analytics PlatformData Engineering - Fortune 500 company
- Enterprise Web Automation & Scraping PlatformWeb Scraping - Market research firm
- Cloud-Native Data Orchestration PlatformCloud Platform - Enterprise financial services firm
- Autonomous Research Agent StackAI Agents - VC-backed SaaS team
- Revenue Operations Automation Command CenterWorkflow Automation - B2B SaaS revenue team
- AI Support Triage & Escalation SystemAI Agents - Global software support team
- Multi-Region Airflow Modernization ProgramCloud Platform - Regional logistics enterprise
- dbt Finance Reporting Acceleration StackData Engineering - Private equity portfolio team
Need a similar result?
Bring the constraints. We can scope the path forward together.
If you are using the portfolio as a proof check, the next step is usually either a project brief or a service-lane review, depending on how clear the bottleneck already is.
