Looking for a job

Ham Jutt

@hamjutt1

Message

I build production generative AI, RAG, and enterprise ML platforms at scale.

United States

Message

At Diffbot, I architect and ship an enterprise generative AI platform: a multi-agent LLM system layered over a knowledge graph for Fortune clients. I build production RAG, fine-tuning, agentic workflows, and API-first inference systems while embedding AI risk and governance from day one.

Across Kitware, Numenta, and Neurala, I’ve delivered ML platforms, NLP systems, anomaly detection, recommendation models, and edge computer vision. I lead cross-functional teams and turn applied research into reliable, scalable products using cloud, distributed data, and MLOps practices.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Architect

Current

Diffbot

Nov 2022 - Present (3 years 10 months)

Architected and shipped Diffbot's enterprise Generative AI platform, a multi-agent LLM system over a knowledge graph, cutting customer time-to-insight and lifting enterprise ARR. Designed production-grade RAG pipelines, led LLM fine-tuning, and built an agentic framework processing millions of pages daily.

Senior Machine Learning & Data Cloud Engineer

Kitware

Jul 2018 - Oct 2022 (4 years 3 months)

Designed and productionized Kitware's scalable ML platform for government and defense clients, shrinking deployment cycles from weeks to days. Delivered transformer-based NLP systems, distributed feature pipelines, recommendation models, and anomaly detection systems with NIST AI RMF-aligned guardrails.

Machine Learning NLP BERT SpaCy Spark ETL Feature Stores Docker Kubernetes MLFlow PyTorch XGBoost LightGBM REST APIs NIST AI RMF Recommendation Systems Anomaly Detection CI CD

Machine Learning Engineer | NLP & Applied Research

Numenta

Jan 2016 - Jun 2018 (2 years 5 months)

Translated Numenta's Hierarchical Temporal Memory research into commercial anomaly detection models with strong AUC on IoT benchmarks. Built high-throughput NLP pipelines with ONNX quantization and batched inference, and designed drift detection systems sustaining model SLA compliance.

Anomaly Detection NLP Hugging Face Transformers SpaCy Onnx Optuna SHAP Statistical Process Control IoT Time Series Model Monitoring

Junior Data Scientist & ML Engineer

Neurala

Jun 2014 - Dec 2015 (1 year 6 months)

Contributed to Neurala's Brain-inspired Neural Network platform, developing CNN-based image classification and object detection models for embedded hardware. Built automated ETL workflows and implemented A/B testing and SHAP-based interpretability reports for deployment decisions.