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I am Vishnu Teja Ramisetty, a results-driven AI/ML engineer with over 4 years of hands-on experience in building production-grade ML and AI systems. I specialize in ML, NLP, CV, and LLMs, delivering scalable solutions using Python and a broad stack including TensorFlow, PyTorch, Hugging Face, OpenAI, OpenCV, and cloud-based MLOps on AWS, Azure, and GCP. I thrive in fast-paced Agile environments, partnering with business teams to turn data into actionable insights, and design end-to-end pipelines with MLflow, Docker, Kubernetes, and Terraform. My work emphasizes measurable impact—improved accuracy, reduced latency, and robust deployments—captured in dashboards and predictive analytics that drive strategic decisions.…I am Vishnu Teja Ramisetty, a results-driven AI/ML engineer with over 4 years of hands-on experience in building production-grade ML and AI systems. I specialize in ML, NLP, CV, and LLMs, delivering scalable solutions using Python and a broad stack including TensorFlow, PyTorch, Hugging Face, OpenAI, OpenCV, and cloud-based MLOps on AWS, Azure, and GCP. I thrive in fast-paced Agile environments, partnering with business teams to turn data into actionable insights, and design end-to-end pipelines with MLflow, Docker, Kubernetes, and Terraform. My work emphasizes measurable impact—improved accuracy, reduced latency, and robust deployments—captured in dashboards and predictive analytics that drive strategic decisions.

Vishnu Teja Ramisetty

AI Engineer, Data Scientist, Data Analyst, +2

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I am Vishnu Teja Ramisetty, a results-driven AI/ML engineer with over 4 years of hands-on experience in building production-grade ML and AI systems. I specialize in ML, NLP, CV, and LLMs, delivering scalable solutions using Python and a broad stack including TensorFlow, PyTorch, Hugging Face, OpenAI, OpenCV, and cloud-based MLOps on AWS, Azure, and GCP. I thrive in fast-paced Agile environments, partnering with business teams to turn data into actionable insights, and design end-to-end pipelines with MLflow, Docker, Kubernetes, and Terraform. My work emphasizes measurable impact—improved accuracy, reduced latency, and robust deployments—captured in dashboards and predictive analytics that drive strategic decisions.…I am Vishnu Teja Ramisetty, a results-driven AI/ML engineer with over 4 years of hands-on experience in building production-grade ML and AI systems. I specialize in ML, NLP, CV, and LLMs, delivering scalable solutions using Python and a broad stack including TensorFlow, PyTorch, Hugging Face, OpenAI, OpenCV, and cloud-based MLOps on AWS, Azure, and GCP. I thrive in fast-paced Agile environments, partnering with business teams to turn data into actionable insights, and design end-to-end pipelines with MLflow, Docker, Kubernetes, and Terraform. My work emphasizes measurable impact—improved accuracy, reduced latency, and robust deployments—captured in dashboards and predictive analytics that drive strategic decisions.

Available to hire

I am Vishnu Teja Ramisetty, a results-driven AI/ML engineer with over 4 years of hands-on experience in building production-grade ML and AI systems. I specialize in ML, NLP, CV, and LLMs, delivering scalable solutions using Python and a broad stack including TensorFlow, PyTorch, Hugging Face, OpenAI, OpenCV, and cloud-based MLOps on AWS, Azure, and GCP.

I thrive in fast-paced Agile environments, partnering with business teams to turn data into actionable insights, and design end-to-end pipelines with MLflow, Docker, Kubernetes, and Terraform. My work emphasizes measurable impact—improved accuracy, reduced latency, and robust deployments—captured in dashboards and predictive analytics that drive strategic decisions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Artificial Intelligence Engineer at CVS Health

August 1, 2024 - Present

Improved predictive accuracy by 28% and reduced forecasting errors by 22% using ML models including XGBoost, LightGBM, and Scikit-Learn for large-scale business analytics in a Forecasting Model deployed on AWS SageMaker. Developed DL models (CNNs/RNNs) reducing processing latency by 22% in Real-Time AI applications. Built NLP and CV pipelines with Hugging Face, spaCy, OpenCV, and YOLO achieving 90%+ classification accuracy and 18% fewer detection errors in multimodal systems. Designed scalable MLOps pipelines with Pandas, MLflow, Docker, and Terraform for reproducible experiments and CI/CD. Optimized PostgreSQL queries for analytics throughput. Managed end-to-end AWS deployments (S3, SageMaker, Lambda) with monitoring and retraining.

Artificial Intelligence Engineer at Mindtree

January 1, 2021 - July 1, 2023

Delivered Deep Learning models with TensorFlow, Keras, and PyTorch for enterprise AI products. Implemented LLM-powered NLP solutions with BERT, GPT, and APIs (OpenAI, Cohere, Anthropic) achieving 95% accuracy and 40% faster conversational responses. Built Computer Vision pipelines with Detectron2 and MediaPipe, delivering 92% precision and 30% faster real-time inference. Engineered distributed ETL workflows with PySpark, Airflow, Kafka, and Dask supporting large-scale model training and Big Data processing. Deployed models on Azure Kubernetes with 99% uptime and 40% faster scaling. Built Power BI dashboards reducing manual reporting time by 35% and improving business decisions by 25%.