WELCOME TO HARIM'S PAGE.
I am a machine learning engineer interested in vectorizing reality, making predictions, and estimating uncertainty.
Over seven years, I have worked with public-procurement, construction, and retail data, connecting tabular ML, NLP, computer vision, and LLM agents from data collection through evaluation and deployment. I quickly learn unfamiliar domains and inherited systems, then turn data, models, and operating workflows into working services. I build systems that balance predictive performance with reliability, cost, and operational constraints.
WarpQuant Technical report / low-bit LLM inference LLM Quantization · Efficient Inference A dual-domain post-training quantization method that compresses transformer weights after Hadamard rotation and spends a small recovery budget on columns ranked by Output-Fisher sensitivity. The same report evaluates a TurboQuant-style KV cache and per-token INT8 activations. Qwen3.8-27B · 3.6165 text bpw Read Aug 16, 2026 · 1 min
R2CCP Bid Prediction Probabilistic ML / conformal prediction Conformal Prediction · Multimodal Forecasting A multimodal bid-rate forecasting system that preserves disjoint conformal regions and turns eight context distributions into candidate decisions through 500K Monte Carlo simulation. 90.73% coverage · PQ bid KPI +35% Read Aug 16, 2026 · 2 min
Vargo Private research / reliable agent evaluation Agent Evaluation · Decision Science Research asking whether task text, embeddings, or hidden states can identify the best LLM-agent configuration before execution. Oracle-gap recovery 54% → 85% · TMLR review Read Aug 16, 2026 · 2 min