About Ihtisham
- LLM & RAG Systems: Production-grade retrieval-augmented generation pipelines for internal knowledge bases, document processing, and customer-facing chatbots. Built with custom evaluation frameworks (RAGAS, DeepEval) to ensure quality at scale.
- AI Agents & Automation: Domain-specific AI agents that handle complex workflows: payroll processing, onboarding, document analysis, and more. Designed with safe action frameworks so agents operate reliably in production.
- AI Architecture & Strategy: End-to-end system design from data ingestion to deployment. I help teams choose the right models, infrastructure, and evaluation approach before writing a single line of code.
- GenAI Product Development: Full lifecycle delivery of generative AI products, from prototyping to production deployment, including LLMOps, MLOps, monitoring, and continuous improvement.
English
Native or bilingual
Experience
- Remote PeopleSenior AI EngineerHUMAN RESOURCESApril 2025 - Today (1 year and 3 months)Berlin, Germany● Lead AI team building scalable RAG pipelines powering internal and customer-facing chatbots across multiple product lines.● Architect and deploy domain-specific AI agents (payroll, onboarding, leave management) to automate customer support and platform operations.● Design safe agentic action frameworks enabling customers to trigger complex platform workflows directly via conversational AI. Shipped MCP servers.● Lead AI adoption among the product and engineering team to increase performance using agentic coding setup.
- Philipps & ByrneAI EngineerCONSULTING AND AUDITSJanuary 2023 - January 2025 (2 years)Berlin, Germany
- Designed and shipped multiple generative AI products (report generation, chatbots), reducing consultant workload by 50%+.
- Built end-to-end RAG pipelines with custom evaluation metrics (RAGAS, DeepEval) including data parsing, vectorization, indexing, and retrieval.
- Developed robust data ingestion workflows for unstructured documents using Azure Document Intelligence and custom parsers.
- Conducted ML/data architecture due diligence for clients on scalability, model performance, and engineering practices.
- Weizenbaum Institute,Machine Learning Research AssistantDecember 2021 - September 2022 (9 months)Berlin, Germany• ● Built deep learning models for voice activity detection, laughter detection, and speaker diarization using NLP/audio techniques.• ● Conducted audio analysis and eye-tracking studies on video interviews for academic research on participant behavior.
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Education
- Masters in Data ScienceUniversity of Potsdam2023Masters in Data Science