Enterprise AI/ML Platform Engineer

Thivya Tanneedi

AI Platform Engineer

****************@*****.*** Phone: +1-409-***-**** LinkedIn

Professional Summary

AI/ML Engineer with 4+ years of experience building enterprise-scale machine learning systems, AI applications, and cloud-based data platforms. Experienced in designing and deploying production AI solutions including NLP systems, predictive models, and API-driven ML services. Strong background in Python, cloud platforms, and scalable backend systems with exposure to enterprise AI workflows and production deployment environments. Core Technical Skills

Programming Python, SQL, Linux

AI / ML Machine Learning, NLP, LLMs, Feature Engineering, Model Deployment AI Platforms AI Application Development, Copilot-style Applications, API-based AI Systems Cloud Platforms AWS (SageMaker, Lambda, S3, RDS), Azure AI Services Backend Systems FastAPI, Flask, REST APIs, Microservices Architecture Data Engineering ETL Pipelines, Data Processing, Structured & Unstructured Data Handling MLOps CI/CD Pipelines, Model Monitoring, Deployment Automation Tools Docker, Git, Jupyter Notebook

Enterprise Systems Scalable Architecture Design, Security-aware System Integration Professional Experience

Citi Bank United States

AI/ML Engineer Feb 2025 – Present

• Designed and implemented scalable ML systems and APIs to support enterprise AI-driven applications.

• Built reusable machine learning components for predictive analytics and intelligent automation use cases.

• Developed and deployed NLP-based models for extracting insights from large-scale enterprise data.

• Implemented FastAPI-based microservices for serving AI models in production environments.

• Worked on cloud-based ML workflows using AWS for training, deployment, and monitoring.

• Collaborated with cross-functional teams to support integration of AI solutions into enterprise systems. T-Mobile United States

AI/ML Engineer Apr 2023 – Jul 2024

• Built enterprise-scale ML pipelines supporting multiple AI use cases across business domains.

• Developed NLP and predictive models for real-world data-driven applications.

• Designed scalable APIs and backend services for integrating ML models into production systems.

• Worked with AWS services to deploy and maintain AI applications in production environments.

• Improved model performance through feature engineering, tuning, and iterative evaluation.

• Contributed to building reusable ML workflows for enterprise AI adoption. CDK Global

Python Developer Jan 2021 – Oct 2022

• Developed backend systems and APIs for enterprise applications using Python and FastAPI.

• Built data processing pipelines for structured and unstructured enterprise data.

• Supported system integration for large-scale enterprise software platforms.

• Improved system performance through backend optimization and database tuning.

• Worked on CI/CD pipelines and Docker-based deployments. Certifications

Microsoft Certified: Azure Fundamentals (AZ-900)

Education

Midwestern State University, United States

Master of Science

Sasi Institute of Engineering and Technology, India Bachelor of Science

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