# Vijay Tudimilla

> AI/ML Engineer | LLM Integration & Data Pipelines | Scalable APIs, RAG & Production ML Systems

Location: Charleston, Illinois, United States
Profile: https://flows.cv/vijaytudimilla

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.

## Work Experience
### AI/ML Engineer – Python @ Capital One
Jan 2025 – Present | Champaign, IL
Built Python-based data pipelines using Pandas and SQL to clean, transform, and feature-engineer financial log data for AI/ML
experimentation, 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-context
analysis and improve response quality in internal AI workflows.
Designed and evaluated machine learning pipelines using scikit-learn for classification and regression use cases, validating model
performance with standard evaluation metrics and lightweight PyTorch experiments.
Developed RESTful backend services using FastAPI and Flask to expose model workflows, manage JSON data exchange, and
persist benchmarking results for scalable research and testing use cases.
Implemented authentication, logging, error handling, and pytest-based testing to improve service reliability and maintainability across
collaborative engineering environments.
Containerized applications with Docker and supported CI/CD workflows using GitHub Actions, improving deployment consistency and
reducing manual development overhead.

### Software Engineer – Backend & Data @ Tvisha Technology
Jan 2021 – Jan 2023 | Hyderabad
Developed RESTful APIs using Python and Flask for pharmacy and food delivery applications, supporting order tracking, payment
workflows, and secure JSON-based data exchange.
Designed and optimized PostgreSQL and MySQL queries for inventory, transaction, and user data workflows, improving data retrieval
efficiency and backend performance.
Built data ingestion and validation workflows using Pandas to process Excel and CSV data, supporting operational reporting and
backend automation tasks.
Automated build, test, and deployment workflows using GitHub Actions and Docker, improving release reliability and reducing manual
deployment effort.
Performed exploratory data analysis and visualization using Pandas, NumPy, and Matplotlib to identify usage trends and support
feature planning.
Implemented scikit-learn-based ML prototypes and exposed results through backend APIs, contributing to modular, testable
application workflows


## Education
### Master's degree in Computer Technology/Computer Systems Technology
Eastern Illinois University


## Contact & Social
- LinkedIn: https://linkedin.com/in/vtudimilla14

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Source: https://flows.cv/vijaytudimilla
JSON Resume: https://flows.cv/vijaytudimilla/resume.json
Last updated: 2026-04-17