Ramesh Kanjinghat

Experience

1. Senior Software Engineer (Data and Ml Ops)

   Relativity

   Dec 2021 — Present · Cleveland, OH, US

   Designed and operated scalable ELT/ETL and analytics pipelines using Databricks, Apache Spark, Delta Lake, dbt, and Azure cloud services to support production-grade data platforms.Built and productionized end-to-end MLOps pipelines using Databricks ML, MLflow, Kubernetes, and CI/CD automation for experiment tracking, model registry, automated deployment, and lifecycle management.Implemented workflow orchestration and event-driven pipelines using Prefect and Temporal to manage complex dependencies, retries, backfills, and SLA-driven execution.Developed backend services, APIs, and feature pipelines using Python, C#, and.NET to expose ML inference endpoints, data services, and platform automation capabilities.Integrated enterprise AI platforms and foundation models (Azure AI, OpenAI, Google Gemini) within Databricks and cloud-native architectures to deliver LLM-powered applications, RAG pipelines, and AI-driven automation solutions.Established data quality, observability, governance, and security best practices including RBAC, secrets management, lineage, and compliance controls across Databricks and Azure ecosystems.Collaborated cross-functionally with data scientists, platform engineers, and business stakeholders to translate analytical requirements into scalable, production-ready data products and ML solutions while optimizing Spark performance and cloud costs.

Education

• Madurai Kamaraj University

  Master, Computer Applications

  2000 — 2003

Skills

• Microsoft Sql Server
• Xml
• Web Development
• Software Development Life Cycle (Sdlc)
• Asp.net Web Api
• Team Foundation Server (Tfs)
• .net Framework
• C#
• Jquery
• Web Services
• Design Patterns
• Agile Methodologies
• Sql
• Asp.net
• Electronic Data Interchange (Edi)
• Ajax
• Databases
• Json
• Requirements Analysis
• Asp.net Mvc
• Client Side Scripting
• Software Development
• Testing
• Javascript