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Hi, I’m Mukesh Naidu, a machine learning engineer based in Tempe, AZ. I enjoy turning data into scalable ML solutions using Python, PyTorch, and TensorFlow, and I’ve designed end-to-end data pipelines and deployed models on cloud platforms with a focus on reliability and explainability. I thrive in cross-functional teams and love applying the latest AI advances to real-world challenges. In my spare time, I explore new ML techniques and tooling to keep delivering value to customers and stakeholders.…Hi, I’m Mukesh Naidu, a machine learning engineer based in Tempe, AZ. I enjoy turning data into scalable ML solutions using Python, PyTorch, and TensorFlow, and I’ve designed end-to-end data pipelines and deployed models on cloud platforms with a focus on reliability and explainability. I thrive in cross-functional teams and love applying the latest AI advances to real-world challenges. In my spare time, I explore new ML techniques and tooling to keep delivering value to customers and stakeholders.

Mukesh Naidu

Data Scientist, AI Engineer, AI Developer, +4

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Hi, I’m Mukesh Naidu, a machine learning engineer based in Tempe, AZ. I enjoy turning data into scalable ML solutions using Python, PyTorch, and TensorFlow, and I’ve designed end-to-end data pipelines and deployed models on cloud platforms with a focus on reliability and explainability. I thrive in cross-functional teams and love applying the latest AI advances to real-world challenges. In my spare time, I explore new ML techniques and tooling to keep delivering value to customers and stakeholders.…Hi, I’m Mukesh Naidu, a machine learning engineer based in Tempe, AZ. I enjoy turning data into scalable ML solutions using Python, PyTorch, and TensorFlow, and I’ve designed end-to-end data pipelines and deployed models on cloud platforms with a focus on reliability and explainability. I thrive in cross-functional teams and love applying the latest AI advances to real-world challenges. In my spare time, I explore new ML techniques and tooling to keep delivering value to customers and stakeholders.

Available to hire

Hi, I’m Mukesh Naidu, a machine learning engineer based in Tempe, AZ. I enjoy turning data into scalable ML solutions using Python, PyTorch, and TensorFlow, and I’ve designed end-to-end data pipelines and deployed models on cloud platforms with a focus on reliability and explainability. I thrive in cross-functional teams and love applying the latest AI advances to real-world challenges. In my spare time, I explore new ML techniques and tooling to keep delivering value to customers and stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Javanese

Advanced

Work Experience

Machine Learning Engineer at NVIDIA

January 1, 2024 - Present

Designed, trained, and deployed deep learning models for computer vision and NLP using PyTorch and TensorFlow. Built end-to-end ETL pipelines with Apache Spark and Pandas, integrated with AWS S3 and Glue. Deployed models via Docker and AWS SageMaker with CI/CD integration, monitored via CloudWatch. Automated model workflows with Apache Airflow for feature extraction and real-time scoring. Implemented BERT-based intent classifiers, enhancing chatbot accuracy and reducing fallback rate. Used SHAP and LIME for model explainability and fairness; prepared executive insights for cross-functional teams. Collaborated in Agile environments to deliver scalable ML solutions aligned with business goals.

Machine Learning Engineer at Nexova

June 1, 2021 - July 1, 2022

Built predictive models (XGBoost, scikit-learn) for customer churn and behavior analytics. Developed robust preprocessing pipelines: feature engineering, encoding, and anomaly detection. Deployed models with FastAPI, integrated via RESTful APIs with production services. Tuned models using GridSearchCV and Optuna, improving accuracy and F1-score. Monitored performance and model drift post-deployment using real-time alerting systems.