Agentic Workflows & AI Automation

Senior Cloud and AI Engineer · 4most

July 2025 – Present

Overview

Leading the development and deployment of cutting-edge agentic workflows and AI automation solutions at 4most. This role focuses on leveraging Large Language Models (LLMs), Databricks Genie, and MLflow to transform operational processes and accelerate AI adoption across the organization.

The work involves designing intelligent systems that can autonomously handle complex tasks, reducing manual intervention from hours to seconds while maintaining high accuracy and reliability.

Key Achievements

Operational Efficiency Transformation

Designed and deployed an agentic workflow using Genie and LLMs within Databricks that reduced internal operations resourcing time from 20 minutes to mere seconds. The system automates complex decision-making processes and integrates seamlessly with Microsoft Teams, providing real-time notifications and updates to stakeholders.

  • Automated workflow orchestration reducing manual processing time by 99%
  • Seamless Microsoft Teams integration for real-time communication
  • API deployment enabling scalable access across the organization

MLflow Implementation & Model Management

Implemented MLflow within Databricks to streamline ML model tracking, versioning, and deployment. This initiative has significantly enhanced model reproducibility and accelerated time-to-production for machine learning solutions.

  • Centralized model registry for version control and collaboration
  • Automated model deployment pipelines reducing deployment time by 60%
  • Comprehensive experiment tracking enabling data-driven model selection

AI Competition Victory

Won an internal AI competition that resulted in financial recognition and 6 weeks of dedicated development time to extend the MVP. The winning solution was a regulatory article summarization tool that scrapes regulatory articles and uses LLM capabilities in Databricks to summarize and group articles in a centralized delta table.

  • Automated article scraping and processing eliminating manual tracking
  • Bespoke summaries delivered to users based on subscribed areas
  • MVP to production deployment in 6 weeks

Technologies & Tools

Databricks Genie LLMs MLflow Microsoft Teams Python REST APIs

Impact & Results

99%

Reduction in operational processing time

60%

Faster model deployment cycles

6

Weeks MVP to production

Client Engagement & Strategy

Leading strategic conversations with clients about their AI transformation journeys, specializing in Databricks implementations and model-ready data architectures. The role involves understanding client needs, designing AI solutions, and providing expert guidance on leveraging modern AI technologies for business impact.

Focus areas include helping organizations understand how to structure their data for AI readiness, implementing scalable AI workflows, and ensuring successful adoption of agentic AI systems.

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