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Vetted AI & Machine Learning Professionals in the DFW Metroplex
Pre-screened and vetted in the DFW Metroplex.
Mid-level Machine Learning Engineer specializing in LLMs and ML at scale
Mid-level AI/ML Engineer specializing in Databricks, MLOps, and real-time fraud detection
Mid-level AI Engineer specializing in LLM agents, RAG, and knowledge graphs
Senior AI Engineer specializing in NLP, LLMs, and healthcare platforms
Mid-level AI/ML Engineer specializing in LLM fine-tuning, NLP, and MLOps
Mid-level AI/ML Data Engineer specializing in analytics, ML pipelines, and LLM applications
Abhishikth Meesala
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
“At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.”
Mid-level AI/ML Engineer specializing in Generative AI and RAG systems
keerthana medaveni
Mid-Level AI/ML Software Engineer specializing in agentic LLM systems
“Built and deployed a production LLM-powered multi-agent compliance copilot (life sciences/finance) using LangChain/LangGraph + RAG over vector databases, delivered via async FastAPI on Kubernetes. Emphasizes audit-ready, deterministic outputs with schema constraints and citations, plus rigorous evaluation/monitoring; reports 60%+ reduction in manual research time and successful production adoption.”
Sasi Katamneni
Mid-level Data Scientist / AI-ML Engineer specializing in Generative AI and LLM applications
“Built a production GenAI-powered analytics assistant to reduce reliance on data analysts by enabling natural-language Q&A over Databricks/Power BI dashboards, backed by vector search (Pinecone/Milvus) and a Neo4j knowledge graph, including multimodal support via OpenAI Vision. Demonstrates strong real-world LLM reliability engineering with strict RAG, LangGraph multi-step verification, and Guardrails/custom validators, plus broad orchestration and production monitoring experience (Airflow, ADF, Step Functions, Kubernetes, Prometheus/CloudWatch).”
“GenAI/data engineering practitioner with production experience across Equinix, Optum, and Citibank—built an Azure OpenAI (GPT-4) + LangChain document intelligence platform processing 1.5M+ docs/month and a HIPAA-compliant Airflow healthcare pipeline handling 5M+ claims/day. Also delivered a real-time fraud detection + explainability system using LightGBM and a fine-tuned T5 NLG component, improving fraud accuracy by 15%+ while partnering closely with compliance stakeholders.”
Executive AI Architect specializing in enterprise cloud and FinTech solutions
Senior GenAI/ML Engineer specializing in cloud-native multi-agent RAG and MLOps
Mid-level AI/ML Engineer specializing in NLP, computer vision, and MLOps
Mid-level AI/ML Engineer specializing in GenAI, RAG, and real-time ML systems
Mid-level AI/ML Engineer specializing in MLOps, RAG, and production NLP
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and multi-agent systems
Senior AI/ML Engineer specializing in LLMs, Generative AI, and conversational systems
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and multi-agent systems