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Iram Kamdar

@iramkamdar

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Machine learning engineer specializing in multimodal AI, retrieval systems, and clinical ML pipelines.

United States

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What I'm looking for

I seek roles building production-ready multimodal ML systems and retrieval/LLM pipelines with low-latency constraints, collaborative teams, and opportunities to impact clinical or product outcomes.

I am a machine learning engineer with hands-on experience building retrieval systems, fine-tuned LLM deployments, and multimodal pipelines that reduce latency and infrastructure costs.

At WebAI I migrated JSON retrieval to Qdrant with HNSW indexing and scalar quantization, cutting retrieval latency from 39s to 2.9s and improving hit rate, and I built LoRA fine-tuning scripts to enable cost-efficient domain-specific LLMs.

As a graduate researcher I engineered predictive modeling pipelines for multimodal imaging, extracted 100+ radiomic features, and improved ranking performance via regularized Cox models; I also implemented clinical NLP using GPT-4 to structure EHR notes for downstream analysis.

My background includes applied NLP, computer vision, OCR pipelines, and production tooling (PyTorch, Hugging Face, Docker, Azure), and I focus on reliable, low-latency deployments and reproducible ML systems that directly support clinical and product goals.