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Anami James A

@anamijamesa

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AI Engineer Intern building production-ready ML systems with GNNs, time series forecasting, and LLM pipelines.

India

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What I'm looking for

I’m looking for a role where I can build production AI pipelines—combining ML, GNNs, and LLM/RAG systems—with strong engineering practices, scalable APIs, and room to grow into deployment-focused impact.

I’m an AI Engineer Intern focused on turning research-grade models into deployment-ready systems. I build hybrid deep learning architectures—LSTM/Transformer combined with GCN/GAT—alongside scalable AI pipelines that support vector database workflows and LLM systems.

In my work, I design modular Python pipelines for data ingestion, preprocessing, and robust validation, using techniques like feature engineering, normalization, and cross-validation to improve pipeline reliability. I’m comfortable with CUDA-enabled GPU training and end-to-end evaluation using RMSE, MAE, F1-score, and structured backtesting—plus production components like REST APIs, Docker, and JWT-authenticated services.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer Intern

Current

Inventeron Technologies

Feb 2026 - Present (4 months)

Designed modular Python pipelines for structured data ingestion and preprocessing, applying feature engineering and normalization for supervised ML workflows. Improved pipeline robustness with validation checks, EDA/statistical validation using Pandas and NumPy, and exception handling.

Python Data Ingestion data preprocessing Data Normalization EDA Statistical Validation Pandas NumPy