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Vetted Machine Learning Engineers in the DFW Metroplex
Pre-screened and vetted in the DFW Metroplex.
Amir Syed
Senior Machine Learning Engineer specializing in GenAI, LLMs, and Python backend
Bhanuja Ainary
Mid-level AI & Machine Learning Engineer specializing in Generative AI, NLP & MLOps
Disha Vaswani
Mid-level Data Analyst and ML Engineer specializing in analytics, dashboards, and model deployment
Triveni Kotha
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps
Akshitha Chinthala
Mid-level ML Software Engineer specializing in Generative AI and fraud detection
sekhar A
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps
Manikantareddy Duggempudi
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision, and LLMs
Vinod Aluru
Mid-level AI/ML Engineer specializing in MLOps and Generative AI
Rachana Sriselvam
Junior ML/Data Engineer specializing in NLP, cloud data pipelines, and real-time sentiment analysis
RIDHAM TELI
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.”
Raymond Spartz
Senior Full-Stack Engineer / Technical Lead specializing in cloud-native TypeScript and AI systems
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.”
Manideep Madavaram
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and LLM retrieval systems
Sai Teja Reddy Kothakota
Mid-level AI/ML Engineer specializing in cloud MLOps and real-time data pipelines
Harshit Gupta
Mid-level Software Engineer specializing in AI/ML and Data Engineering
Piyush Hemnani
Junior Generative AI/ML Engineer specializing in LLM automation and RAG systems
BHAVANA KRISHNAN
Junior AI/ML Engineer specializing in Generative AI, NLP, and MLOps
“LLM engineer who has deployed a production RAG system (LangChain/FAISS/FastAPI) for enterprise semantic search, tackling real-world latency by LoRA/PEFT fine-tuning and grounding outputs with retrieval. Brings strong MLOps (Docker, AWS EKS, CI/CD, MLflow) plus stakeholder-facing explainability experience using SHAP to align ML-driven financial guidance with non-technical domain experts.”
Pathik Patel
Mid-level Machine Learning Engineer specializing in reinforcement learning and autonomous systems
TIRUMALA TEJA YEGINENI
Mid-level AI/ML Data Engineer specializing in MLOps and Generative AI
Nikhitha Pendlijeevi
Mid-level AI/ML Engineer specializing in Generative AI, multi-agent RAG, and FastAPI backends
Mounish Kamineni
Mid-level AI/ML Engineer specializing in generative AI, NLP, and MLOps
Ahmed Ibrahim
Senior AI/ML Engineer specializing in Generative AI, RAG, and multimodal LLM systems