Rajeev Mahajan
Senior Engineer
- Role
- Senior System Engineer- Data & Devops at EPAM Systems
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Rajeev Mahajan
Experienced software developer in Cloud and Devops Practices with 7+ years hands on experience. Started as Java and python developer eventually shifting to IaaS Platform engineer working to deploy openstack cloud for telco vendors (ETSI MANO based NFVi, VNFM deployment on openstack), next worked on application deployment (Linux based and Container based), eventually shifting exclusively hands on AWS and Devops tools including IaC (terraform) and CI/CD operations. Also worked as AWS data engineer working on a platform for high volume data engineering workloads. Currently working for end to end ML lifecycle management/MLOps using tools Kubeflow, Mlflow, VertexAI and FastMCP library, handling PoC for Amazon bedrock agentcore for agentic deployment, langgraph. Also using langsmith and langfuse for experiment tracking, token analysis, model drift, latency, error count.Contributed in architecting POCs for migration, monitoring, cost analysis, security, automation, devops and data analysis on the cloud. From Java developer to Cloud and Devops and data engineering and telecom background love problem solving aspects, system design and understanding the overall stack. Techstack- AWS, Kubernetes, Python, Terraform, Docker, Google cloud, Azure Devops, Linux, Jenkins, Java, Kafka, Spark, Airflow, FastAPIgithub- https://github.com/rajeevco8119
Experience
Senior System Engineer- Data & Devops
May 2025 — Present
Part of the team working on first AI based Agentic+MCP application Pitchcraft for S&P Global financial domainGenAI-Powered Automated Presentation Generation PlatformPitchCraft addresses the business challenge of slow, inconsistent presentation creation by implementing an AI-powered solution. The approach leverages GenAI (via AWS Bedrock) orchestrated by LangChain and FastAPI, integrating real-time enterprise data through GraphQL/MCP. This solution automates slide deck generation, ensuring data accuracy and brand consistency, significantly reducing manual effort for S&P Global\'s data and research teams.ExpertiseAgentic Workflow Orchestration: Designed LangChain and LangGraph pipelines for task decomposition and context-aware slide generation.Enterprise Model Context Protocol: Developed MCP tools to fetch real-time enterprise data for dynamic LLM content generation.Generative AI Observability Implementation: Integrated LangSmith and LangFuse for prompt tracking, latency measurement, and GenAI pipeline debugging.Cross-Protocol Data Integration: Synchronized backend services using GraphQL and RESTful APIs to feed live data into automated presentations.
Education
Centre for Development of Advanced Computing (C-DAC)
Post graduate diploma, Information Technology
2018 — 2019
PEC University of Technology, Chandigarh
Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering
2013 — 2017
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