I am a Machine Learning Engineer with hands-on experience deploying LLM-powered systems and high-performance AI solutions. I have built production-grade integration pipelines combining Python AST parsing and LLM-based code generation, reducing hallucination rates and improving API reliability.
My background includes multimodal AI research (CLIP, BERT), CUDA-based GPU optimization, and scalable backend development on AWS. I combine deep learning expertise with systems-level thinking, focusing on robustness, evaluation rigor, and performance optimization.
I am particularly interested in applied LLM systems, multimodal AI, and building intelligent infrastructure that operates reliably at scale.
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