Summary
Syed Saleem is a Principal Engineer and AI/Data Science leader with eight years of experience building production-ready ML systems, data platforms, and LLM orchestration for product and security use cases. He designs end-to-end data ecosystems—knowledge graphs, semantic search, and multi-agent LLM orchestrators—that turn messy user and log data into deterministic product path analysis, cohorts, and actionable insights. His recent work includes creating "Jarvis," a multi-agent orchestrator with intent normalization and specialized execution engines, and a BERTopic-driven pipeline for scalable chat and ticket analysis. Comfortable moving from model fine-tuning to BigQuery stored-procedure analytics and Airflow migrations, he blends research-led prototyping with pragmatic engineering to reduce alert noise and streamline funnels. Based in Karachi, he pairs an MSc in Data Science with hands-on system-building across startups, often surfacing non-obvious signals by combining graph link analysis with session-level semantic retrieval.
8 years of coding experience
5 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at Institute of Business Administration
Bachelor's degree Computer Science, Bachelor's degree Computer Science at National University of Computer and Emerging Sciences