AI ENGINEER

AI/ML Engineer with hands-on experience designing, deploying, and operating production-grade machine learning, LLM,

And data-driven systems. Skilled in building scalable, low-latency inference pipelines, multi-agent LLM architectures, and

End-to-end MLOps workflows using Python, FastAPI, Docker, and Kubernetes. Proven ability to translate reliability and

Product requirements into measurable engineering outcomes, including sub-100ms inference latency, 80%+ cache-hit

Efficiency gains, and automated LLM evaluation pipelines. Strong foundation in statistics, data mining, and deep learning

Through a B.Sc. in Data Science & Engineering (CGPA 3.54/4.00). Seeking to apply expertise in machine learning, NLP, and

Applied AI research to deliver reliable, production-ready AI solutions.