Harris Zahir Malik

I am a results-driven Artificial Intelligence Engineer who designs, builds, and deploys deep-learning and generative-AI systems across finance, healthcare, and Web3. I bridge research, engineering, and MLOps to deliver auditable, high-value AI systems.

At Tekhqs I engineered multi-horizon crypto options and futures signal pipelines, dual-path deep learning architectures achieving 85–87% signal accuracy, and KYC/zkML pipelines with 88% ROC AUC under zero-knowledge constraints. I established MLOps best practices using MLflow and shipped FastAPI microservices for reliable production inference.

Previously at Visric I delivered RAG-based recommendation systems with OpenAI and Pinecone, multi-horizon FX forecasting systems, and production generative media workflows using DALL·E 2 and Stable Diffusion. I emphasize reproducible pipelines, explainability, and low-latency inference.

I hold a BS in Computer Science from University of South Asia, Lahore, and publish research on NLP for mental-health interventions. I seek roles where I can scale agentic AI, RAG, and production ML systems to drive measurable business outcomes.