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Vetted Machine Learning Engineers in the Greater Houston
Pre-screened and vetted in the Greater Houston.
Shankar Koduvayur Ramaswami
Mid-level Machine Learning Engineer specializing in industrial deep learning and predictive control
“AI engineer building and deploying deep-learning-based optimization/control systems for petrochemical plants, with a focus on maintaining operational stability under real-world constraints. Core contributor to model and inference design; introduced a stability-focused non-linear objective and sped up second-layer optimization via on-the-fly first-order approximations. Experienced using Kubernetes for end-to-end testing and effective in translating customer expectations into measurable evaluation plots for non-technical stakeholders.”
Jingyi Tian
Junior Machine Learning Engineer specializing in MLOps and LLM/RAG systems
“LLM/agentic workflow builder focused on productionizing document-processing systems. Redesigned pipelines with LangGraph + RAG, schema-aware validation, and eval/monitoring loops; known for fast incident diagnosis (restored accuracy from ~70% to >95% same day). Partners closely with sales and stakeholders to deliver tailored demos and drive adoption (reported +40%).”
Principal Data Scientist specializing in ML governance, healthcare and FinTech risk modeling
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG
Mid-level AI/ML Engineer specializing in healthcare and financial risk systems
Mid-level AI Engineer specializing in LLM agents and orchestration
Senior AI/ML Engineer specializing in LLMs, NLP, and production MLOps
Senior Machine Learning Engineer specializing in GenAI, LLMs, and MLOps
Senior Machine Learning Engineer specializing in GenAI, LLMs, and MLOps
SaiGanesh Konagalla
Mid-level ML Engineer specializing in NLP and Generative AI
“Healthcare AI/ML engineer with Epic experience who built and deployed a HIPAA-compliant GPT-4 RAG clinical assistant over large medical document sets, emphasizing privacy controls and low-latency performance. Also automated end-to-end retraining and deployment of patient risk models using orchestration/CI-CD (Jenkins, SageMaker, MLflow), cutting deployment time from hours to minutes while improving reliability.”
Gayatri Devi Dasari
Mid-level GenAI/ML Engineer specializing in LLM systems and RAG chatbots
“Built and shipped a production agentic LLM analytics platform that lets non-SQL business users query relational databases in plain English via a RAG + LangChain/LangGraph workflow and FastAPI service. Emphasizes safety and reliability with guardrails (validation/access control), testing/evaluation frameworks, and performance optimization (caching, monitoring, Dockerized scalable deployment), reducing dependency on data teams and speeding analytics turnaround.”
Senior AI/ML Engineer specializing in healthcare LLM and conversational AI systems
Mid-level Data Science & ML Engineer specializing in NLP, recommender systems, and MLOps
Mid-level AI/ML Engineer specializing in LLM fine-tuning and RAG pipelines
Mid-level ML Engineer specializing in FinTech risk, fraud, and GenAI RAG systems
Mid-level Applied AI Engineer specializing in LLM agents and RAG systems