Pre-screened and vetted in the DFW Metroplex.
Mid-level Systems Business Analyst specializing in AI automation and financial data pipelines
Junior Data Analyst specializing in marketing analytics and machine learning
“Built and deployed a production LLM-assisted recommendation and insights platform that unifies structured, semi-structured, and unstructured data via a modular ingestion pipeline, canonical schemas, embeddings, and late-fusion modeling. Experienced in operationalizing ML/LLM systems with Airflow and Kubernetes (Dockerized services, autoscaling, rolling updates) and emphasizes reliability through layered testing, guardrails, monitoring, and A/B experimentation while partnering closely with non-technical stakeholders.”
Intern Software Engineer specializing in distributed systems and data pipelines
Mid-Level Full-Stack Software Engineer specializing in microservices and data-driven solutions
Mid-level AI/ML Engineer specializing in Generative AI, multi-agent RAG, and FastAPI backends
Junior Data Scientist specializing in LLMs, RAG, and agentic AI systems
Mid-level Data Analyst specializing in SQL/Python analytics, ETL pipelines, and BI dashboards
“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”