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Vetted Data Scientists in the Austin Metro
Pre-screened and vetted in the Austin Metro.
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems
Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms
Principal Machine Learning Scientist specializing in GenAI, LLMs, and RAG
Mid-level Generative AI & Machine Learning Engineer specializing in LLMs and RAG
Senior Data Scientist specializing in AI/Deep Learning and applied machine learning
Mid-level Data Scientist specializing in LLMs, RAG, and personalization
Senior Python AI/ML Engineer specializing in MLOps, data engineering, and LLM applications
Senior Staff Data Scientist specializing in AI/ML and LLM-powered analytics
JYOTHI N
Senior Data Scientist specializing in analytics, experimentation, and BI on AWS
“Data/ML practitioner focused on healthcare data quality and record linkage: analyzed 10M+ records, built anomaly detection and NLP-driven entity resolution, and automated AWS ETL/validation pipelines (Glue/Redshift/Lambda), cutting data errors by 40% and generating $500k in annual savings. Has hands-on experience with embeddings (Sentence Transformers/spaCy), FAISS vector search, and fine-tuning for domain-specific matching.”
Duncan Freeman
Staff Machine Learning Engineer specializing in NLP, LLMs, and document intelligence
“ML/AI engineer at PNC who has shipped enterprise-grade RAG and document intelligence systems for compliance and policy workflows. Stands out for combining LLM product thinking with production rigor—owning FastAPI/Kubernetes deployments, monitoring, evaluation, and human-feedback loops that drove measurable gains like 40% faster policy search and 30% faster compliance review.”
Senior AI/ML Engineer specializing in Generative AI, Agentic AI, and RAG systems
Junior Software Engineer and Data Scientist specializing in data platforms and LLM applications
Senior AI/ML Engineer & AWS/Python Developer specializing in serverless platforms and RAG
Shane Weinstock
Senior Data Scientist & Product Analytics Leader specializing in ML and experimentation
“Aspiring founder with ~15 years of experience across varied backgrounds, motivated by frustration with slow, change-resistant large organizations and a desire to bring innovative ideas to market. Familiar with how venture capital/accelerators function (though not directly worked in them) and expresses strong willingness to take entrepreneurial risks.”
Mid-level Data Scientist / Machine Learning Engineer specializing in NLP and computer vision
Vamsi Krishna
Senior Machine Learning Engineer specializing in MLOps and Generative AI
“Built and deployed a production generative-AI copilot at Tungsten that automates invoice/form extraction template creation, reducing weeks of manual model-building work. Combines fine-tuned LLMs (PyTorch/HuggingFace) with OpenCV layout grounding to reduce hallucinations, and runs an end-to-end Kubeflow-based MLOps pipeline with drift monitoring, canary releases, and automated retraining.”