Syed Faisal is an Artificial Intelligence Engineer based in Kuala Lumpur with five years of hands-on experience building and deploying production-grade AI systems across fintech and enterprise domains. He has designed end-to-end RAG solutions, fine-tuned LLMs, and automated internal workflows using tools like LangChain, LlamaIndex, CrewAI and Azure AI, while contributing to MLOps pipelines and CI/CD integrations. Adept in Python, Java and C++, he pairs strong engineering fundamentals with practical product focus—shipping Text-to-SQL chatbots, OCR-driven data ingestion, and FastAPI backends. A competitive problem-solver from coding contests, he brings both rapid prototyping skill and operational rigor to cross-functional teams. Notably, his work often blurs research and production: turning experimental LLM integrations into scalable, business-facing tools.
5 years of coding experience
2 years of employment as a software developer
Bachelor of Computer Science, Artificial Intelligence, Bachelor of Computer Science, Artificial Intelligence at University of Malaya
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