Malik Harris zahir

I am an AI and blockchain engineer with 4+ years of hands-on experience building deep learning, generative AI, and end-to-end machine learning systems. I focus on delivering production-grade services using PyTorch, TensorFlow, ONNX, FastAPI, and Docker.

My work spans real-time inference engines, scalable ML pipelines, quantization and GPU-accelerated inference, and reproducible MLOps practices. I have built CNN, LSTM, hybrid, and Siamese models for forecasting, classification, biometric verification, and computer vision tasks.

I have integrated AI with blockchain technologies, implementing zkML, on-chain verifiable inference, and agentic DeFi automation across EVM and Solana. I have delivered low-latency semantic search, RAG pipelines, and agentic assistants with measurable accuracy and throughput improvements.

I prioritize reliable, production-ready systems that combine research-grade models with robust engineering: reduced processing times, high-data continuity, and explainable pipelines. I enjoy cross-functional R&D and building end-to-end solutions that move ML from prototype to resilient deployment.