Vijay Tudimilla
AI/ML Engineer | LLM Integration & Data Pipelines | Scalable APIs, RAG & Production ML Systems
- Role
- Ai Ml Engineer Python at Capital One
- Location
- Charleston, IL, US
- LinkedIn followers
- 500 followers
About Vijay Tudimilla
I’m an AI/ML Engineer with nearly 4 years of experience building data-driven applications, ML pipelines, and Generative AI solutions across finance, retail, and analytics domains.My journey started with data analysis and SQL-based reporting, and I gradually transitioned into machine learning, deep learning, NLP, and LLM-based solutions.Skilled in Python, SQL, scikit-learn, PyTorch, LangChain, and OpenAI/Claude APIs, I enjoy solving real-world problems by combining backend development with AI/ML systems.Currently, I’m working on projects involving Generative AI, RAG-based systems, and risk/bias detection pipelines, and I’m passionate about building scalable, high-impact intelligent solutions.
Experience
Ai Ml Engineer Python
Jun 2025 — Present · Champaign, IL, US
Built Python-based data pipelines using Pandas and SQL to clean, transform, and feature-engineer financial log data for AI/MLexperimentation, enabling faster analysis of risk, bias, and model behavior.Integrated LLM APIs with prompt engineering and retrieval-augmented generation patterns using LangChain to support large-contextanalysis and improve response quality in internal AI workflows.Designed and evaluated machine learning pipelines using scikit-learn for classification and regression use cases, validating modelperformance with standard evaluation metrics and lightweight PyTorch experiments.Developed RESTful backend services using FastAPI and Flask to expose model workflows, manage JSON data exchange, andpersist benchmarking results for scalable research and testing use cases.Implemented authentication, logging, error handling, and pytest-based testing to improve service reliability and maintainability acrosscollaborative engineering environments.Containerized applications with Docker and supported CI/CD workflows using GitHub Actions, improving deployment consistency andreducing manual development overhead.
Education
Eastern Illinois University
Master's degree, Computer Technology/Computer Systems Technology
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.