Harris Idrees
@harrisidrees
I build production LLM systems, agentic RAG pipelines, and scalable AI infrastructure.
What I'm looking for
I've built production LLM and RAG systems for Perplexity AI, Toptal's legal intelligence client, Versana, and Anki. At Perplexity, I developed core RAG, query-routing, MCP, and LangGraph systems supporting Sonar products serving 22M+ monthly active users and 1B+ queries per month.
I've delivered multi-agent legal research platforms with live knowledge graphs, hybrid retrieval, citation grounding, and evaluation harnesses, while improving inference latency, cost governance, and model reliability. My work spans Python, LangGraph, LangChain, MCP, AWS, GCP, FastAPI, Kubernetes, and production MLOps.
Experience
Work history, roles, and key accomplishments
Designed and built a production-grade multi-agent RAG system for a legal intelligence platform, including real-time document ingestion, a live Neo4j knowledge graph, hybrid retrieval, and a six-agent LangGraph orchestration layer. Implemented evaluation harnesses and production hardening with observability and cost tracking.
Owned end-to-end development of core RAG pipeline components and Sonar model systems, serving over 1B queries monthly. Built query routing, MCP server integrations, agentic orchestration for Deep Research, and contributed to low-latency inference optimization and cost governance.
Machine Learning Specialist
Versana
Jun 2020 - Sep 2023 (3 years 3 months)
Designed and maintained production-grade ELT pipelines and deployed ML models via FastAPI microservices on GCP Cloud Run. Introduced a LangChain-based NLP layer for natural-language querying and implemented model monitoring with automated retraining triggers.
Artificial Intelligence Engineer
Anki
May 2018 - Jun 2020 (2 years 1 month)
Deployed BERT and GPT-based transformer models into a recommendation engine, increasing user retention by 25%. Implemented MCP-style tool integration and applied NER and sentiment analysis to automate content tagging.
Junior Software Engineer
Code Genesis
Apr 2017 - Jan 2018 (9 months)
Built and maintained RESTful APIs for internal tools and customer-facing applications using Python/Flask, integrating with MySQL and MongoDB backends. Collaborated on code reviews, system design, and performance optimization.
Education
Degrees, certifications, and relevant coursework
Technische Universität Berlin
Bachelor of Science, Computer Science
2012 - 2016
Pursued a Bachelor of Science in Computer Science, focusing on foundational and advanced topics in computing.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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