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AI/ML Engineer with 7+ years of experience designing and deploying machine learning, NLP, and Generative AI solutions across healthcare, banking, retail, and enterprise domains. Experienced in building LLM-powered assistants and RAG applications, predictive analytics, and scalable REST APIs. Hands-on expertise across Python, SQL, TensorFlow, PyTorch, OpenAI/LangChain/Hugging Face, FAISS and vector search, plus MLOps pipelines using FastAPI, Docker, Kubernetes, AWS/Azure, MLflow, Airflow, and CI/CD. Strong background delivering secure, production-ready AI systems with monitoring and retraining.…AI/ML Engineer with 7+ years of experience designing and deploying machine learning, NLP, and Generative AI solutions across healthcare, banking, retail, and enterprise domains. Experienced in building LLM-powered assistants and RAG applications, predictive analytics, and scalable REST APIs. Hands-on expertise across Python, SQL, TensorFlow, PyTorch, OpenAI/LangChain/Hugging Face, FAISS and vector search, plus MLOps pipelines using FastAPI, Docker, Kubernetes, AWS/Azure, MLflow, Airflow, and CI/CD. Strong background delivering secure, production-ready AI systems with monitoring and retraining.

Rakesh Maggidi

AI Engineer, Data Scientist, DevOps Developer, +2

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AI/ML Engineer with 7+ years of experience designing and deploying machine learning, NLP, and Generative AI solutions across healthcare, banking, retail, and enterprise domains. Experienced in building LLM-powered assistants and RAG applications, predictive analytics, and scalable REST APIs. Hands-on expertise across Python, SQL, TensorFlow, PyTorch, OpenAI/LangChain/Hugging Face, FAISS and vector search, plus MLOps pipelines using FastAPI, Docker, Kubernetes, AWS/Azure, MLflow, Airflow, and CI/CD. Strong background delivering secure, production-ready AI systems with monitoring and retraining.…AI/ML Engineer with 7+ years of experience designing and deploying machine learning, NLP, and Generative AI solutions across healthcare, banking, retail, and enterprise domains. Experienced in building LLM-powered assistants and RAG applications, predictive analytics, and scalable REST APIs. Hands-on expertise across Python, SQL, TensorFlow, PyTorch, OpenAI/LangChain/Hugging Face, FAISS and vector search, plus MLOps pipelines using FastAPI, Docker, Kubernetes, AWS/Azure, MLflow, Airflow, and CI/CD. Strong background delivering secure, production-ready AI systems with monitoring and retraining.

Available to hire

AI/ML Engineer with 7+ years of experience designing and deploying machine learning, NLP, and Generative AI solutions across healthcare, banking, retail, and enterprise domains. Experienced in building LLM-powered assistants and RAG applications, predictive analytics, and scalable REST APIs.

Hands-on expertise across Python, SQL, TensorFlow, PyTorch, OpenAI/LangChain/Hugging Face, FAISS and vector search, plus MLOps pipelines using FastAPI, Docker, Kubernetes, AWS/Azure, MLflow, Airflow, and CI/CD. Strong background delivering secure, production-ready AI systems with monitoring and retraining.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Work Experience

Senior AI/ML Engineer at Cvs Health

August 1, 2024 - Present

Developed scalable machine learning and deep learning solutions using Python, TensorFlow, and PyTorch for healthcare analytics and document intelligence. Built FastAPI-based inference services and integrated Snowflake and PostgreSQL data sources to support real-time AI applications. Automated model deployment, monitoring, and retraining using Docker, Kubernetes, AWS, MLflow, and Airflow. Implemented semantic search and intelligent document retrieval using OpenAI embeddings and FAISS/vector databases. Mentored junior engineers while collaborating with product managers, data engineers, and healthcare stakeholders to deliver secure, production-ready AI solutions. Orchestrated federated learning initiatives across multiple clinical sites to train robust predictive models while preserving patient data privacy.

AI/ML Engineer at Tech Mahindra

June 1, 2020 - July 31, 2023

Designed and implemented end-to-end machine learning pipelines using Python, TensorFlow, and PyTorch for predictive analytics and intelligent automation. Developed NLP solutions using Hugging Face Transformers, SpaCy, and LangChain for document classification, entity extraction, and conversational AI. Built RAG applications using OpenAI, FAISS, and vector embeddings to enhance enterprise knowledge search. Developed FastAPI microservices and REST APIs to deploy AI models and support scalable production environments. Containerized applications with Docker and Kubernetes and managed the model lifecycle through MLflow and CI/CD pipelines. Partnered with business stakeholders and cross-functional teams to deploy AI solutions that improved operational efficiency and supported strategic decision-making.

Data Scientist at Wipro

April 1, 2018 - April 30, 2020

Developed machine learning models using Python, scikit-learn, and SQL for predictive analytics, customer segmentation, and business intelligence. Built ETL pipelines using Apache Spark, Pandas, and SQL to process large-scale structured and semi-structured datasets. Performed exploratory data analysis, feature engineering, and model evaluation to improve prediction accuracy and data quality. Created interactive Tableau and Power BI dashboards to monitor KPIs and communicate insights. Developed REST APIs using Flask to deploy models and enable real-time prediction services.