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Vetted AI & Machine Learning Professionals in Texas
Pre-screened and vetted in Texas.
Popular Titles
Mid-level Machine Learning Engineer specializing in MLOps and GenAI for financial services
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision, and LLMs
Mid-level AI/ML Engineer specializing in LLM fine-tuning and RAG pipelines
Junior Data Entry & Operations Specialist specializing in data quality and SLA-driven workflows
Mid-level AI/ML Engineer specializing in Generative AI and Azure MLOps
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 Engineer specializing in LLM, RAG, and multi-agent systems
Mid-level AI/ML Engineer specializing in cloud-native data pipelines and RAG systems
Mid-level AI/ML Data Engineer specializing in secure ML pipelines and AI governance
Senior Data Scientist and Machine Learning Researcher specializing in NLP, LLMs, and MLOps
Executive AI Architect specializing in low-power edge/embedded AI systems
Bhanu Kiran
Mid-level Data Scientist & AI Engineer specializing in NLP, LLMs, and predictive analytics
“AI Engineer with production experience building an LLM-powered conversational scheduling assistant (rules-based + OpenAI GPT agents) and improving responsiveness by ~40% through architecture optimization. Strong in orchestration (Airflow), containerized deployments, and data quality (Great Expectations/PySpark), with prior work automating population health reporting pipelines (Azure Data Factory → Snowflake) and delivering insights via Tableau to non-technical stakeholders.”
Varshitha Pendyala
Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic systems
“Built a production "Mini RAG Assistant" for internal document Q&A, focusing on grounded answers (anti-hallucination), retrieval quality, and latency/cost optimization. Uses LangChain/LangGraph for orchestration and applies a metrics-driven evaluation loop (including reranking and semantic chunking improvements) while collaborating closely with product stakeholders.”
Bharat Potluri
Senior Machine Learning Engineer specializing in LLMs, RAG, and agentic AI systems
“LLM/RAG practitioner who has taken a support-ticket triage automation system from prototype to production, building the full pipeline (fine-tuned models, FastAPI inference services, vector storage, monitoring) and delivering measurable impact (~40% reduction in triage time). Demonstrates strong operational troubleshooting of LLM/agentic workflows (observability-driven debugging, fixing agent routing/looping) and supports adoption through tailored demos and sales-aligned technical communication.”
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and LLM retrieval systems
Mid-level Prompt Engineer specializing in NLP, LLMs, and RAG systems
Mid-level AI/GenAI Engineer specializing in agentic systems and RAG