Saxena
Artificial Intelligence Engineer @Intellum
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WORK HISTORY
Artificial Intelligence Engineer @Intellum
Atlanta, GA, US
Led the implementation of the company\'s agentic MCP server integration and build several agents- Agentic systems: Implemented production AI agents in Python (Cloud Run + JedAI) and LangGraph: a learner assessment agent enabling users to discuss failed tests and specific questions. A course tutor agent providing contextual recommendations based on enrollment history. An API consumer agent which creates a plan, identifies missing inputs before running when given permissions- MCP Server: Designed and built Intellum\'s MCP server, exposing core platform functionality as LLM-accessible tools and resources (vector search courses, create enrollment, generate course tree, generate course content, account & user details, popular courses, user assessment and more)- RAG pipeline: Built embedding and BigQuery retrieval pipelines for course recommendations using vector search, integrating into agent flows as callable tools- Quality & testing: Authored Python notebook interactive test that converts to runnable code to test edge-case agent behaviour and validation before production rollout- Impact: Generated ~20k personalised learning plans and automated ~10k admin/support tasks. The company itself reported in their homepage a 170% increase in learner engagement as direct consequence of these introduced agents
SKILLS
ABOUT SAXENA
Software engineer with 16+ years across product startups and scale-ups. Strong background in Ruby on Rails, with recent hands-on focus on AI engineering, building agentic systems, RAG pipelines, and MCP tooling in production. Most recently AI engineer at Intellum, designing and shipping LangGraph agents and a full MCP server integration. Looking for a senior IC role in backend or AI engineering, remote in Europe.
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