lowtouch-ai/agent_dags
Apr 2025 – Jul 2025
3 Months active
Languages Used
MarkdownPython
Technical Skills
AI IntegrationAPI IntegrationAgent DevelopmentData FormattingEmail AutomationEmail Processing
Sabin Santhosh
PROFILE
Sabin Santhosh
Over a three-month period, Santhosh contributed to the lowtouch-ai/agent_dags repository by developing end-to-end automation solutions for business workflows. He built an AI-powered invoice response system that integrates with email, using Python and Airflow to enable HTML-formatted replies, robust error handling, and improved logging. Santhosh also engineered an Airflow DAG to automate Slack channel activity reporting, leveraging the Slack and Google Sheets APIs for daily, auditable updates. Additionally, he implemented a recruitment document processing pipeline that extracts and classifies PDF content from Google Drive. His work demonstrated depth in workflow automation, data engineering, and seamless API integration.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
3
Lines of code
371
Activity Months3
Your Network
12 people
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025Monthly summary for 2025-07: Implemented an automated recruitment document processing pipeline as an Airflow DAG for Google Drive. The DAG extracts text from PDFs, distinguishing Job Descriptions and CVs, with manual trigger support and built-in Google Drive authentication/file retrieval. This work reduces manual document handling and speeds candidate data ingestion. No major bugs reported this month; delivery focused on end-to-end automation and readiness for scale.
1 Commits • 1 Features
Jul 1, 2025Monthly summary for 2025-07: Implemented an automated recruitment document processing pipeline as an Airflow DAG for Google Drive. The DAG extracts text from PDFs, distinguishing Job Descriptions and CVs, with manual trigger support and built-in Google Drive authentication/file retrieval. This work reduces manual document handling and speeds candidate data ingestion. No major bugs reported this month; delivery focused on end-to-end automation and readiness for scale.
July 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for lowtouch-ai/agent_dags. Focused on delivering automated Slack channel activity reporting via an Airflow DAG, enabling daily visibility into channel activity by populating a Google Sheet. The solution includes dynamic sheet header creation and date-based row updates for accurate, stakeholder-facing reporting. This work enhances data-driven decision making and reduces manual reporting effort.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for lowtouch-ai/agent_dags. Focused on delivering automated Slack channel activity reporting via an Airflow DAG, enabling daily visibility into channel activity by populating a Google Sheet. The solution includes dynamic sheet header creation and date-based row updates for accurate, stakeholder-facing reporting. This work enhances data-driven decision making and reduces manual reporting effort.
April 2025
6 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for lowtouch-ai/agent_dags: Delivered end-to-end Webshop Invoice AI integration for Email Response, enabling HTML-formatted replies, robust error handling, improved logging, and fallback behavior. DAG updates were implemented to support the new workflow, enhancing automation reliability and observability. This work drives faster, more accurate invoice communications and reduces manual handling in the webshop email response process.
6 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for lowtouch-ai/agent_dags: Delivered end-to-end Webshop Invoice AI integration for Email Response, enabling HTML-formatted replies, robust error handling, improved logging, and fallback behavior. DAG updates were implemented to support the new workflow, enhancing automation reliability and observability. This work drives faster, more accurate invoice communications and reduces manual handling in the webshop email response process.
April 2025
Activity
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Quality Metrics
Correctness83.8%
Maintainability82.6%
Architecture77.4%
Performance70.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
AI IntegrationAPI IntegrationAgent DevelopmentAirflowData EngineeringData FormattingEmail AutomationEmail ProcessingError HandlingGoogle Drive APIGoogle Sheets APILoggingPDF ProcessingPythonSlack API
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