Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Machine Learning Engineer experienced in building, deploying, and maintaining production-ready AI/ML solutions across cloud environments. Skilled in Python and modern ML/DL stacks including PyTorch, TensorFlow, and Hugging Face Transformers, with hands-on work on LLM deployment and Retrieval-Augmented Generation (RAG) systems. Experienced in end-to-end MLOps: Docker/Kubernetes deployments, MLflow-based tracking, CI/CD, and model monitoring. Built cloud-native AI applications and served model endpoints using FastAPI and scalable inference infrastructure.…Machine Learning Engineer experienced in building, deploying, and maintaining production-ready AI/ML solutions across cloud environments. Skilled in Python and modern ML/DL stacks including PyTorch, TensorFlow, and Hugging Face Transformers, with hands-on work on LLM deployment and Retrieval-Augmented Generation (RAG) systems. Experienced in end-to-end MLOps: Docker/Kubernetes deployments, MLflow-based tracking, CI/CD, and model monitoring. Built cloud-native AI applications and served model endpoints using FastAPI and scalable inference infrastructure.

Shiva Sai Gnanesh Namani

AI Engineer, Data Scientist, Software Engineer, +1





Machine Learning Engineer experienced in building, deploying, and maintaining production-ready AI/ML solutions across cloud environments. Skilled in Python and modern ML/DL stacks including PyTorch, TensorFlow, and Hugging Face Transformers, with hands-on work on LLM deployment and Retrieval-Augmented Generation (RAG) systems. Experienced in end-to-end MLOps: Docker/Kubernetes deployments, MLflow-based tracking, CI/CD, and model monitoring. Built cloud-native AI applications and served model endpoints using FastAPI and scalable inference infrastructure.…Machine Learning Engineer experienced in building, deploying, and maintaining production-ready AI/ML solutions across cloud environments. Skilled in Python and modern ML/DL stacks including PyTorch, TensorFlow, and Hugging Face Transformers, with hands-on work on LLM deployment and Retrieval-Augmented Generation (RAG) systems. Experienced in end-to-end MLOps: Docker/Kubernetes deployments, MLflow-based tracking, CI/CD, and model monitoring. Built cloud-native AI applications and served model endpoints using FastAPI and scalable inference infrastructure.

Available to hire

Machine Learning Engineer experienced in building, deploying, and maintaining production-ready AI/ML solutions across cloud environments. Skilled in Python and modern ML/DL stacks including PyTorch, TensorFlow, and Hugging Face Transformers, with hands-on work on LLM deployment and Retrieval-Augmented Generation (RAG) systems.

Experienced in end-to-end MLOps: Docker/Kubernetes deployments, MLflow-based tracking, CI/CD, and model monitoring. Built cloud-native AI applications and served model endpoints using FastAPI and scalable inference infrastructure.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Machine Learning Engineer at Humana

January 1, 2025 - Present

Develop and deploy production machine learning and Generative AI applications on AWS. Build LLM-powered solutions using Hugging Face Transformers and LangChain. Design Retrieval-Augmented Generation (RAG) pipelines integrating enterprise knowledge with vector search. Deploy scalable AI services using Docker, Kubernetes, FastAPI, and MLflow. Collaborate with cross-functional teams to deliver cloud-native AI solutions and automate ML workflows.

Machine Learning Engineer at EXL Services

January 1, 2023 - August 1, 2023

Built predictive machine learning models using Python, TensorFlow, PyTorch, and Scikit-learn. Automated model training, experiment tracking, and deployment using MLflow and Docker. Developed REST APIs for model inference and participated in cloud deployment activities. Performed feature engineering, model evaluation, and hyperparameter tuning.

Software Engineer at Wipro Technologies

October 1, 2021 - December 1, 2022

Developed Python applications, REST APIs, and data processing pipelines. Supported ML model integration into production environments using Git and Docker. Worked within Agile teams to deliver scalable enterprise software solutions.