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Vetted Data Scientists in Texas
Pre-screened and vetted in Texas.
Muaaz Syed
Mid-level AI/ML Engineer specializing in NLP and conversational AI
“ML/NLP engineer focused on real-time IT ops analytics, building a predictive maintenance/anomaly detection platform end-to-end (multi-source ETL, streaming, modeling, and production deployment on GCP/Vertex AI). Uses deep learning (LSTMs, autoencoders/VAEs) plus embeddings (SentenceBERT) and vector search to improve incident correlation and search, citing ~40% reduction in duplicate alert noise.”
Senior Data & ML Engineer specializing in cloud data platforms and real-time analytics
Principal AI/ML Engineer specializing in credit risk and healthcare predictive modeling
Mid-level Data Scientist specializing in ML, NLP, and Generative AI
Senior AI/ML Engineer & AWS/Python Developer specializing in serverless platforms and RAG
Junior Data Scientist specializing in ML infrastructure and low-latency inference services
Senior Data Scientist specializing in fraud risk and real-time analytics
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and real-time data pipelines
Mid-level AI/ML Engineer specializing in LLMs, RAG, and full-stack development
Mid-level Data Scientist / ML Engineer specializing in risk, fraud, NLP and recommender systems
Mid-level Machine Learning Engineer specializing in forecasting, NLP, and MLOps
Mid-level Data Scientist specializing in GenAI, NLP, and cloud MLOps
Mid-level Data Scientist specializing in recommendations, search relevance, and NLP
Mid-level AI Engineer specializing in LLMs, RAG, and multi-agent systems
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.”
Siva Pothuru
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and cloud-native ML
“LLM/agent engineer at USAA who built a production GPT-4o RAG conversational assistant for financial analysts, focused on regulatory interpretation and internal documentation search. Emphasizes compliance-grade reliability with strict grounding, safe fallbacks, and full auditability via MLflow/DVC plus human-in-the-loop review; reports ~45% reduction in ticket resolution time.”
Mid-level Data Scientist / Machine Learning Engineer specializing in NLP and computer vision