Mouneka Ravishankar

About Mouneka Ravishankar

Visionary Senior Software & Data Engineer with 10+ years of experience architecting mission-critical data platforms and AI-driven applications across Tech, FinTech, Retail, and Healthcare sectors. Databricks Certified Data Engineer and AWS Certified Solutions Architect with deep expertise in modernizing enterprise data architectures.What Sets Me Apart: I specialize in integrating Agentic AI Frameworks and Model Context Protocol (MCP) to automate autonomous decision-making and optimize engineering workflows. My recent work includes pioneering MCP server architectures at Cisco, developing GenAI-powered automation frameworks at Nike, and orchestrating large-scale data migrations that have delivered measurable cost reductions and performance improvements.Core Expertise-AI/ML Engineering: Generative AI, Agentic AI Frameworks, LLM Orchestration, Vector Databases-Cloud & Data Platforms: AWS, Azure, Databricks, Snowflake, Spark (PySpark/SQL), Delta Lake-Architecture & DevOps: Microservices, Docker/Kubernetes, CI/CD, Infrastructure as Code (Terraform)-Data Engineering: ETL/ELT pipelines processing multi-terabyte datasets, Unity Catalog, Delta Live TablesRecent Impact-Reduced infrastructure costs by 30% through strategic AWS EMR to Databricks migration-Improved system throughput by 25% with scalable backend architectures-Automated 150+ hours of manual migration work using GenAI frameworks-Cut production release cycles by 40% through optimized CI/CD pipelinesI thrive at the intersection of data engineering and artificial intelligence, where robust architecture meets autonomous systems. Outside work, I\'m an avid traveler and hiker, always exploring new trails and perspectives.Let\'s connect to discuss data innovation, AI architecture, or your favorite hiking spots!

Experience

1. Senior Software Engineer

   Capgemini

   Jan 2026 — Present

   Architected and deployed scalable backend services using Java/Python on AWS/Azure, improving system throughput by25% and ensuring 99.9% reliability for enterprise-grade networking applications- Designed and optimized automated CI/CD pipelines via GitHub Actions and Jenkins, reducing production release cycletimes by 40% and significantly increasing deployment frequency through robust Docker/Kubernetes orchestration- Pioneered a Model Context Protocol (MCP) server architecture, orchestrating seamless communication between Agentic AI frameworks and internal Cisco enterprise systems to streamline data retrieval- Engineered Agentic AI workflows utilizing LLMs and Generative AI, automating autonomous decision-making processes that reduced manual triage time for system alerts by 35%- Led end-to-end vulnerability management by integrating advanced security scanning tools into pipelines, identifying and remediating over 200+ infrastructure compliance gaps prior to production- Developed LLM-powered automation tools for intelligent code analysis and security insight generation, enhancing developer productivity by 20% through automated documentation and remediation guidance- Optimized large-scale data processing using Spark SQL and Snowflake, streamlining ETL workflows that managed multiterabyte datasets within S3 and Delta Lake environments- Collaborated cross-functionally to enforce DevSecOps best practices, ensuring all AI and cloud workflows were strictly aligned with Cisco’s rigorous enterprise security and compliance mandates

Education

• Sacred Heart University

  Master's degree, Computer and Information Sciences, General

• Jawaharlal Nehru Technological University

  Bachelor's degree, Computer Science