I’m a Python AI/ML engineer with about 4 years of experience building production-ready machine learning and Generative AI solutions across banking and healthcare. I develop predictive models, fraud and risk analytics, and intelligent automation systems using Python along with modern ML and LLM tooling such as TensorFlow, PyTorch, Scikit-learn, and MLOps practices. I also design end-to-end LLM applications and RAG pipelines using LangChain/LangGraph, embeddings, vector databases, and FastAPI-based REST services for reliable enterprise deployment. My work focuses on scalable data pipelines, optimized inference for low latency, and strong engineering foundations (clean code, reusable architectures, CI/CD, monitoring, and governance) to deliver accurate and dependable AI outcomes.

Alekhya

I’m a Python AI/ML engineer with about 4 years of experience building production-ready machine learning and Generative AI solutions across banking and healthcare. I develop predictive models, fraud and risk analytics, and intelligent automation systems using Python along with modern ML and LLM tooling such as TensorFlow, PyTorch, Scikit-learn, and MLOps practices. I also design end-to-end LLM applications and RAG pipelines using LangChain/LangGraph, embeddings, vector databases, and FastAPI-based REST services for reliable enterprise deployment. My work focuses on scalable data pipelines, optimized inference for low latency, and strong engineering foundations (clean code, reusable architectures, CI/CD, monitoring, and governance) to deliver accurate and dependable AI outcomes.

Available to hire

I’m a Python AI/ML engineer with about 4 years of experience building production-ready machine learning and Generative AI solutions across banking and healthcare. I develop predictive models, fraud and risk analytics, and intelligent automation systems using Python along with modern ML and LLM tooling such as TensorFlow, PyTorch, Scikit-learn, and MLOps practices.

I also design end-to-end LLM applications and RAG pipelines using LangChain/LangGraph, embeddings, vector databases, and FastAPI-based REST services for reliable enterprise deployment. My work focuses on scalable data pipelines, optimized inference for low latency, and strong engineering foundations (clean code, reusable architectures, CI/CD, monitoring, and governance) to deliver accurate and dependable AI outcomes.

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Work Experience

Python AI/ML Engineer at Citi, New York, NY
April 1, 2025 - Present
Developed fraud detection and customer segmentation models using supervised ML for banking workflows. Built GenAI applications using RAG and enterprise integrations with LangChain, OpenAI/Claude/Azure OpenAI, FastAPI, and Python for intelligent automation and decision support. Designed feature engineering pipelines and optimized Oracle SQL queries, stored procedures, views, and reporting data models. Integrated ML scoring services into REST APIs and improved inference latency, scalability, and reliability for production transaction decisioning. Implemented Jenkins CI/CD pipelines, automated testing, and containerized deployments using Docker and Kubernetes, along with MLflow/Airflow-based MLOps practices including monitoring and governance. Worked with compliance teams to meet regulatory/security requirements and maintained model performance through continuous evaluation and production scoring improvements.
Python AI/ML Engineer at Mayo Clinic, Rochester, MN
November 1, 2023 - March 1, 2025
Built disease prediction and patient readmission risk models using classical ML and deep learning to support clinical decision support needs. Developed healthcare analytics pipelines working with electronic medical records and unstructured clinical documentation using NLP. Implemented and optimized RAG architectures for more relevant knowledge retrieval and summarization by combining indexing, embeddings, semantic search, and LLM-based generation. Integrated OpenAI and Anthropic Claude models for enterprise GenAI features such as chat, summarization, and knowledge assistants. Optimized medical image classification performance while reducing compute usage. Implemented MLOps pipelines for continuous deployment, monitoring, governance, and healthcare model lifecycle management, ensuring HIPAA-compliant handling of patient data.
Python AI/ML Engineer at Tech Quadra Software Solutions, India
July 1, 2022 - July 1, 2023
Delivered AI-driven automation and recommendation systems to improve user engagement in enterprise applications. Built scalable ML architectures and integrated AI capabilities into cloud-native REST APIs with authentication and async processing. Optimized Oracle SQL queries for performance and data integrity and created automated feature engineering pipelines to support consistent model training. Implemented CI/CD automation for model deployment, testing, monitoring, and versioning across environments. Used cloud platforms for scalable application deployments, collaborated with cross-functional teams, and maintained technical documentation to support maintainability and knowledge sharing.

Education

Master of Science | Computer Science at University of North Texas, USA
January 1, 2023 - January 1, 2025
Bachelor of Science | Computer Science at K L University, India
January 1, 2019 - January 1, 2023
Master of Science | Computer Science at University of North Texas, USA
January 1, 2023 - January 1, 2025
Bachelor of Science | Computer Science at K L University, India
January 1, 2019 - January 1, 2023

Qualifications

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Industry Experience

Financial Services, Healthcare, Software & Internet