Ehmad Saeed is a product-minded Senior Software Engineer with 7 years of experience building full-stack web applications and AI-driven agentic systems. He combines advanced React/TypeScript frontends and Django/Node.js backends with applied AI techniques—RAG, semantic search, vector DBs, and multi-agent frameworks like CrewAI and LangGraph—to deliver production-grade intelligent features. At Ensemble he architects low-code libraries and deployment automation that directly accelerated enterprise adoption, and previously improved performance and reduced bugs significantly across hiring, e-learning, and marketplace products. He holds graduate training in AI and a computer science background, which he pairs with hands-on ML tooling experience integrating OpenAI and Hugging Face models into SaaS. Notably, he bridges product velocity and clean architecture, shipping agentic assistants that surface complex retrieval and decision workflows inside real products. Based in Pakistan, he’s an active contributor to education-focused open-source initiatives and thrives on turning research-grade AI ideas into scalable customer value.
7 years of coding experience
3 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Lahore University of Management Sciences
Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at National University of Sciences and Technology (NUST)
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Engineering and Technology, Lahore
Contributions:49 commits, 61 pushes, 1 branch in 2 years 6 months
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Ehmad Saeed - Senior Software Engineer at Ensemble Technologies