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I am an AI/ML Engineer with 5+ years of experience designing and deploying scalable AI/ML solutions across healthcare and enterprise environments. I specialize in building LLM-powered applications, RAG systems, intelligent chatbots, and production-grade models using Python, Transformers, LangChain, PyTorch, TensorFlow, and Scikit-learn. I thrive in distributed data processing, MLOps automation, and cloud deployment across AWS, Azure, and GCP, delivering measurable impact and improved decision-making. I enjoy translating business challenges into AI solutions, enabling real-time inference pipelines and observability with Prometheus & Grafana, and collaborating in Agile/Scrum teams to accelerate delivery while maintaining strong SDLC compliance.…I am an AI/ML Engineer with 5+ years of experience designing and deploying scalable AI/ML solutions across healthcare and enterprise environments. I specialize in building LLM-powered applications, RAG systems, intelligent chatbots, and production-grade models using Python, Transformers, LangChain, PyTorch, TensorFlow, and Scikit-learn. I thrive in distributed data processing, MLOps automation, and cloud deployment across AWS, Azure, and GCP, delivering measurable impact and improved decision-making. I enjoy translating business challenges into AI solutions, enabling real-time inference pipelines and observability with Prometheus & Grafana, and collaborating in Agile/Scrum teams to accelerate delivery while maintaining strong SDLC compliance.

Saiteja Joginipelly

AI Engineer, Data Scientist, AI Developer, +2

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I am an AI/ML Engineer with 5+ years of experience designing and deploying scalable AI/ML solutions across healthcare and enterprise environments. I specialize in building LLM-powered applications, RAG systems, intelligent chatbots, and production-grade models using Python, Transformers, LangChain, PyTorch, TensorFlow, and Scikit-learn. I thrive in distributed data processing, MLOps automation, and cloud deployment across AWS, Azure, and GCP, delivering measurable impact and improved decision-making. I enjoy translating business challenges into AI solutions, enabling real-time inference pipelines and observability with Prometheus & Grafana, and collaborating in Agile/Scrum teams to accelerate delivery while maintaining strong SDLC compliance.…I am an AI/ML Engineer with 5+ years of experience designing and deploying scalable AI/ML solutions across healthcare and enterprise environments. I specialize in building LLM-powered applications, RAG systems, intelligent chatbots, and production-grade models using Python, Transformers, LangChain, PyTorch, TensorFlow, and Scikit-learn. I thrive in distributed data processing, MLOps automation, and cloud deployment across AWS, Azure, and GCP, delivering measurable impact and improved decision-making. I enjoy translating business challenges into AI solutions, enabling real-time inference pipelines and observability with Prometheus & Grafana, and collaborating in Agile/Scrum teams to accelerate delivery while maintaining strong SDLC compliance.

Available to hire

I am an AI/ML Engineer with 5+ years of experience designing and deploying scalable AI/ML solutions across healthcare and enterprise environments. I specialize in building LLM-powered applications, RAG systems, intelligent chatbots, and production-grade models using Python, Transformers, LangChain, PyTorch, TensorFlow, and Scikit-learn. I thrive in distributed data processing, MLOps automation, and cloud deployment across AWS, Azure, and GCP, delivering measurable impact and improved decision-making.

I enjoy translating business challenges into AI solutions, enabling real-time inference pipelines and observability with Prometheus & Grafana, and collaborating in Agile/Scrum teams to accelerate delivery while maintaining strong SDLC compliance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI/ML Engineer at CVS Health

June 1, 2024 - Present

Architected and deployed enterprise-grade RAG applications using GPT models, LangChain, Pinecone, and custom embeddings to empower clinical policy insights and reduce manual research by 30-40% across business units. Built a production-ready LLM-powered conversational assistant integrated with internal microservices via FastAPI, Docker, and Kubernetes, improving customer inquiry resolution time by 35% and satisfaction by 18%. Fine-tuned domain-specific transformer models in AWS SageMaker with MLflow-driven experiment tracking, enhancing semantic relevance by 22% based on BLEU, ROUGE, and human evaluation metrics. Built real-time streaming ML pipelines using PySpark and Kafka within Databricks, increasing throughput by 3x and lowering operational cost by 25%. Optimized inference with ONNX and GPU auto-scaling on EKS, reducing latency by 40% and achieving 99.9% uptime. Implemented CI/CD and MLOps workflows using GitHub Actions, MLflow, Prometheus & Grafana, enabling rapid deployment cycle

AI/ML Engineer at Hexaware Technologies

August 1, 2019 - April 1, 2023

Developed computer vision automation using OpenCV and YOLO for document digitization and visual quality checks, achieving 92%+ object detection accuracy and eliminating 50% of manual inspection tasks. Built reusable Python ML frameworks (NumPy, Pandas, modular pipelines) to standardize experimentation, cutting model development time by 30% and improving maintainability across client engagements. Conducted A/B testing and robust evaluation (cross-validation, ROC-AUC) to boost model lift by 15% while ensuring production-grade performance. Automated preprocessing pipelines by orchestrating SQL + PySpark for structured and image datasets, improving data readiness SLA by 40%. Containerized applications with Docker and implemented Git-based version control and release strategies for deployment across environments. Collaborated with cross-functional teams to translate business requirements into ML deliverables while adhering to SDLC, security compliance, and audit requirements.