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Vetted AI & Machine Learning Professionals in the DFW Metroplex
Pre-screened and vetted in the DFW Metroplex.
Mid-level AI Engineer specializing in LLMs, RAG, and multi-agent systems
Mid-level Applied AI Engineer specializing in Generative AI and RAG systems
Mid-level Full-Stack AI Engineer specializing in agentic LLM platforms
Mid-level Machine Learning Engineer specializing in MLOps and applied data science
Snehitha Penumaka
Mid-level AI/ML Engineer specializing in predictive modeling and cloud ML pipelines
“LLM engineer/data engineer who has deployed production RAG systems for internal-document Q&A, building end-to-end ingestion, embedding, vector search, and FastAPI serving while actively reducing hallucinations and latency through rigorous retrieval tuning and caching. Also experienced in orchestrating cloud data pipelines (Airflow, AWS Glue, Azure Data Factory) and partnering with non-technical business teams to deliver AI solutions like automated document review.”
Mahalakshmi Konakanchi
Mid-level AI/ML Engineer specializing in Generative AI and MLOps
“Built and shipped a production RAG assistant using GPT-4, LangChain, and Pinecone/FAISS to search 50K+ institutional documents, with a strong focus on groundedness and hallucination reduction through retrieval optimization and re-ranking. Pairs this with a metrics-driven evaluation/monitoring approach (BLEU/ROUGE, manual sampling, logging) and workflow automation via Airflow, and has experience translating stakeholder needs into iterative AI prototypes.”
Saketh Kota
Mid-level Data Scientist / ML Engineer specializing in Generative AI, RAG, and MLOps
“Built and productionized a RAG-based LLM research assistant for biomedical and regulatory document search using Mixtral 7B on SageMaker, LangChain, and Milvus, cutting research time by ~40%. Has hands-on multi-cloud MLOps experience across AWS/Azure/GCP with Kubeflow/Airflow/Composer plus Terraform + ArgoCD, and applies rigorous evaluation/monitoring (latency, accuracy, hallucinations). Also partnered with a non-technical PM to deliver an insurance policy Q&A chatbot that reduced customer response time by 30%+.”
Senior Machine Learning Engineer specializing in GenAI, LLMs, and Python backend
Junior AI/ML Research Engineer specializing in computer vision, OCR, and RAG systems
Mid-level AI & Machine Learning Engineer specializing in Generative AI, NLP & MLOps
Mid-level ML Software Engineer specializing in Generative AI and fraud detection
Intern Machine Learning Engineer specializing in Edge AI and FinTech systems
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision, and LLMs
Junior Data Entry & Operations Specialist specializing in data quality and SLA-driven workflows
Junior ML/Data Engineer specializing in NLP, cloud data pipelines, and real-time sentiment analysis
Junior Machine Learning Software Engineer specializing in cloud-deployed predictive models
sai anuragh Sangoju
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
“Built and deployed a production LLM-powered university support chatbot on Azure using a RAG pipeline, focusing on reducing hallucinations, improving latency, and handling ambiguous queries via confidence checks and clarification prompts. Also has hands-on orchestration experience (Airflow/Azure Data Factory), including hardening a demand-forecasting ingestion workflow with sensors, retries, and automated alerts, and uses a metrics-driven testing/monitoring approach for reliable AI agents.”
Mid-level AI/ML Data Engineer specializing in secure ML pipelines and AI governance