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Deep Malusare

@deepmalusare

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MLOps-focused machine learning engineer driving cloud-native, production-ready ML solutions.

India

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What I'm looking for

I seek MLOps/ML engineering roles that let me build and deploy production ML systems, work with cloud-native tooling, and collaborate in data-driven teams focused on measurable business impact.

I am an MLOps-focused machine learning engineer with hands-on experience building cloud-native ML pipelines and deploying production models. I developed an automated vehicle-insurance response prediction system, deployed as an end-to-end cloud ML pipeline with FastAPI, Docker, GitHub Actions and AWS, achieving 88.3% accuracy and delivering actionable business insights.

My internship experience reinforced best practices in data preprocessing, feature engineering, structured coding, logging and model evaluation. I work with Python, TensorFlow/Keras, scikit-learn and modern MLOps tools (Docker, Kubernetes, MLflow, Prometheus/Grafana) to bridge models from experimentation to reliable, monitored production services.

Experience

Work history, roles, and key accomplishments

MLOps Project Lead

Personal Project

Aug 2025 - Sep 2025 (1 month)

Built and deployed a cloud-native end-to-end ML pipeline for vehicle insurance response prediction, achieving 88.3% accuracy and enabling REST API predictions via FastAPI on AWS EC2.

Python MongoDB AWS Docker GitHub Actions fastAPI CI CD

Data Analytics and Machine Learning Intern

InfoLabz Pvt. Ltd.

Jun 2024 - Jul 2024 (1 month)

Assisted in developing and testing ML models focusing on data preprocessing, feature engineering, and performance evaluation; improved pipeline maintainability with structured coding, logging, and exception handling.

Python Pandas Matplotlib SeaBorn Model Evaluation Logging

Education

Degrees, certifications, and relevant coursework

Drs. Kiran and Pallavi Patel Global University

Bachelor of Technology, Computer Science Engineering

2021 - 2025

Grade: 8.74 CGPA

Bachelor of Technology in Computer Science Engineering with a current CGPA of 8.74; coursework and projects focused on machine learning, MLOps, and cloud deployment.