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Vetted Machine Learning Engineers in Texas
Pre-screened and vetted in Texas.
Nandivardhan Reddy
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Bhavani Patel
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Kundan Sannapaneni
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems
Prathamesh Korale
Mid-level Machine Learning Engineer specializing in LLMs, ranking, and scalable ML systems
Varun narra
Junior ML Engineer specializing in MLOps and real-time inference
MARCUS JOHNSON
Senior AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
“ML/NLP engineer focused on production-grade data and search/recommendation systems: built an end-to-end pipeline that connects unstructured customer feedback with product data using TF-IDF/BERT, Spark, and AWS (SageMaker/S3), orchestrated with Airflow and monitored for drift. Also has hands-on experience with entity resolution at scale and improving search relevance via BERT embeddings, FAISS vector search, and domain fine-tuning validated with precision@k and A/B testing.”
Sai Sravanth Segu
Mid-level AI/ML Engineer specializing in recommender systems, fraud detection, and LLMs
Karthik Reddy
Mid-level AI/ML Engineer specializing in NLP/LLMs and production ML systems
suresh dasari
Mid-level Generative AI & Machine Learning Engineer specializing in LLMs and RAG
Angel Contreras
Senior Data Scientist specializing in machine learning, NLP, and MLOps
“ML/NLP engineer with experience building production-grade legal-tech and data platforms, including a GPT-4/LangChain contract review system using ElasticSearch embeddings (RAG) deployed on AWS EKS. Strong in entity resolution and scalable batch/streaming pipelines (Kafka/Spark), with measurable impact (70%+ reduction in contract review time) and a focus on monitoring and CI/CD for reliable delivery.”
Sai Krishna Veginati
Mid-level Machine Learning Engineer specializing in MLOps, RAG, and real-time personalization
Navyasri Arekatla
Mid-level AI/ML Engineer specializing in GenAI agents and production ML systems
Pavan Khanapuram
Mid-level AI/ML Engineer specializing in GenAI, LLMs, and RAG pipelines
Rohan Chickalkar
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Pranav Puranik
Senior AI Engineer specializing in LLMs, RAG, and multimodal NLP
“Built a production LLM/RAG assistant for insurance/health claims agents that ingests 100–200 page patient PDFs via OCR (migrated from local Tesseract to Azure Document Intelligence) and delivers grounded claim detail retrieval plus summaries with PII/PHI guardrails. Experienced orchestrating large workflows with Celery worker pipelines and AWS Step Functions (S3-triggered, Fargate-based batch inference/accuracy aggregation), and collaborates closely with non-technical SMEs (claims agents/nurses) through shadowing, iterative demos, and SME-defined evaluation.”
Sunithya Penumarthy
Mid-level Machine Learning Engineer specializing in MLOps, computer vision, and generative AI
Sravani Katlaganti
Mid-level AI/ML Engineer specializing in LLMs, agentic systems, and MLOps