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Vetted Data Scientists in Texas
Pre-screened and vetted in Texas.
Sowmya Sree
Mid-level Machine Learning Engineer specializing in LLM agents, RAG, and MLOps
“Built production LLM systems including a real-time customer feedback analysis and workflow automation platform using RAG and multi-agent orchestration with confidence-based human escalation, addressing privacy and legacy integration challenges. Also automated ML operations with Airflow/Kubernetes (e.g., daily churn model retraining) cutting retraining time to under 30 minutes, and demonstrates a rigorous testing/monitoring approach plus strong non-technical stakeholder collaboration.”
Siva Manikanta Lakumarapu
Mid-level AI/ML Engineer specializing in Generative AI and NLP
“AI/LLM engineer with production experience building secure, scalable compliance-focused generative AI systems (GPT-3/4, BERT) including RAG over internal regulatory document bases. Has delivered end-to-end pipelines on AWS with PySpark/Airflow/Kubernetes/FastAPI, emphasizing privacy controls, monitoring, and iterative evaluation (A/B testing). Also partnered closely with bank compliance officers using prototypes to refine NLP summarization/classification and reduce document review time.”
Senior Data Scientist specializing in machine learning, MLOps, and generative AI
Mid-level AI/ML Data Scientist specializing in financial and healthcare machine learning
Mid-level Data Scientist / ML Engineer specializing in financial risk, NLP, and MLOps
Mid-level AI/ML Data Scientist specializing in financial and healthcare machine learning
Mid-level Data Scientist specializing in fraud detection, forecasting, and conversational AI
Mid-level Data Scientist / ML Engineer specializing in Generative AI and MLOps
Senior AI/ML Engineer specializing in LLMs, computer vision, and enterprise ML platforms
Senior AI Engineer specializing in credit risk modeling and cloud ML platforms
Mid-level Data Scientist specializing in ML, time series forecasting, and GenAI/LLM systems
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 Data Scientist specializing in Generative AI, NLP, and ML for banking and healthcare
Mid-level AI Engineer & Data Scientist specializing in Generative AI, NLP, and Cloud ML
Mid-level Data Scientist specializing in LLMs and NLP for financial analytics
Senior Data Analyst & Data Scientist specializing in healthcare, epidemiology, and predictive modeling
Senior AI/ML Engineer specializing in LLMs, NLP, and production MLOps
Senior AI/ML Engineer specializing in LLM, NLP, and production ML systems
Ankita Mungalpara
Mid-level Data Scientist specializing in Generative AI and multimodal systems
“Recent J&J intern who built a conversational RAG agent and led a shift from a monolithic model to a modular RAG workflow, cutting response time from several days to under a second by tackling data fragmentation, context retention, and embedding/latency optimization. Also worked on a large (7B-parameter) multimodal VQA pipeline for healthcare research and stays current via NeurIPS/ICLR and open-source contributions.”
Erik Moyer
Director-level Data Science & Analytics Leader specializing in cloud data platforms and AI/ML
“Candidate states they are very familiar with the venture capital/studio/accelerator landscape and expresses strong willingness to pursue entrepreneurship "at all costs," but did not provide details on a current startup, business plan, fundraising, or prior accelerator/VC involvement during the interview.”
Matthew Melendez
Mid-level Data Scientist specializing in machine learning and analytics
“Data scientist with hands-on experience building an XGBoost-based customer segmentation/churn risk scoring model used by sales and marketing teams. Emphasizes production-grade practices—efficient SQL for large-scale data pulls, rigorous data validation/testing, and scalable, modular Python code designed to support multiple customer types.”