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I'm a machine learning engineer with 3+ years building production models, dependable data pipelines, and low-latency inference services for legal and healthcare systems. I thrive on Python, PyTorch, scikit-learn, SQL, and cloud-based deployments, collaborating with product and engineering teams to turn complex data into reliable, scalable solutions. Over the past few years I’ve improved model accuracy, reduced processing delays, and stabilized end-to-end workflows by refining datasets, tightening features, and containerizing services. I’m passionate about delivering results that perform under real operational demand and ensuring clear documentation, governance, and collaboration with stakeholders.…I'm a machine learning engineer with 3+ years building production models, dependable data pipelines, and low-latency inference services for legal and healthcare systems. I thrive on Python, PyTorch, scikit-learn, SQL, and cloud-based deployments, collaborating with product and engineering teams to turn complex data into reliable, scalable solutions. Over the past few years I’ve improved model accuracy, reduced processing delays, and stabilized end-to-end workflows by refining datasets, tightening features, and containerizing services. I’m passionate about delivering results that perform under real operational demand and ensuring clear documentation, governance, and collaboration with stakeholders.

Rohan Khambhadiya

AI Engineer, Programmer, AI Developer, +6

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I'm a machine learning engineer with 3+ years building production models, dependable data pipelines, and low-latency inference services for legal and healthcare systems. I thrive on Python, PyTorch, scikit-learn, SQL, and cloud-based deployments, collaborating with product and engineering teams to turn complex data into reliable, scalable solutions. Over the past few years I’ve improved model accuracy, reduced processing delays, and stabilized end-to-end workflows by refining datasets, tightening features, and containerizing services. I’m passionate about delivering results that perform under real operational demand and ensuring clear documentation, governance, and collaboration with stakeholders.…I'm a machine learning engineer with 3+ years building production models, dependable data pipelines, and low-latency inference services for legal and healthcare systems. I thrive on Python, PyTorch, scikit-learn, SQL, and cloud-based deployments, collaborating with product and engineering teams to turn complex data into reliable, scalable solutions. Over the past few years I’ve improved model accuracy, reduced processing delays, and stabilized end-to-end workflows by refining datasets, tightening features, and containerizing services. I’m passionate about delivering results that perform under real operational demand and ensuring clear documentation, governance, and collaboration with stakeholders.

Available to hire

I’m a machine learning engineer with 3+ years building production models, dependable data pipelines, and low-latency inference services for legal and healthcare systems. I thrive on Python, PyTorch, scikit-learn, SQL, and cloud-based deployments, collaborating with product and engineering teams to turn complex data into reliable, scalable solutions.

Over the past few years I’ve improved model accuracy, reduced processing delays, and stabilized end-to-end workflows by refining datasets, tightening features, and containerizing services. I’m passionate about delivering results that perform under real operational demand and ensuring clear documentation, governance, and collaboration with stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

ML Engineer at Kira Systems

October 1, 2024 - Present

Improved contract-classification accuracy by refining model training in Python, Scikit-learn, and PyTorch; reduced daily scoring failures by building Airflow pipelines to validate inputs and fix schema issues in AWS S3 datasets; cut inference latency from 480ms to 140ms by deploying containerized FastAPI endpoints; increased document-processing throughput by optimizing preprocessing and reducing unnecessary transformations in batch scoring jobs.

ML Engineer at CitiusTech

September 1, 2021 - August 1, 2023

In healthcare, increased model accuracy by 18% through feature redesign and strengthened validation checks; reduced false alerts by 12% by tightening anomaly-detection thresholds and data-quality checks; cut data-processing time by 41% via Python/SQL ETL pipelines; deployed Docker-based endpoints on AWS and Azure, improving availability and reducing downtime; introduced drift monitoring that lowered unplanned re-training events by 30%.