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Piyush Patil

@piyushpatil

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AI/ML engineer specializing in production-grade ML systems, RAG, and cloud-native deployments.

United States

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What I'm looking for

I seek roles building end-to-end ML systems with strong MLOps practices, collaborative teams, cloud-native infrastructure, and opportunities to drive tangible business impact and scalable production deployments.

I am an AI/ML engineer with 3+ years of hands-on experience designing, training, and deploying production-grade machine learning systems that turn ambiguous business problems into scalable technical solutions.

I have led end-to-end ML development—data exploration, model design, evaluation, deployment, and post-launch monitoring—delivering measurable improvements such as 18% model accuracy gains, 22% higher RAG response quality, and reduced deployment time and latency through Docker, Kubernetes, and AWS.

I bring a strong foundation in statistics, optimization, forecasting, feature engineering, ETL, and MLOps, and I build reliable, monitored pipelines and CI/CD workflows that support continuous improvement and business impact.

Experience

Work history, roles, and key accomplishments

Current

Co-Founder & AI/ML Engineer

Current

MyVoyager.ai

Jun 2025 - Present (9 months)

Lead end-to-end development of production-grade ML systems, improving model accuracy by 18% and boosting RAG response quality by 22% while reducing deployment time by 45% and inference latency by 35%.

Python Pyspark scikit learn RAG fastAPI Docker Kubernetes AWS Model Monitoring

Machine Learning Engineer

Alfarsi.me

Jun 2018 - Jun 2023 (5 years)

Built and maintained SQL/Python ETL pipelines and forecasting models, automated recurring workflows to cut manual reporting time by 40%, and delivered KPI dashboards for cross-functional decision-making.

Python SQL ETL Pyspark Forecasting Cohort Analysis Tableau Power BI Data Validation

Data Analyst

Apple International

Jun 2017 - May 2018 (11 months)

Analyzed market trends and customer behavior, designed A/B experiments, and automated reporting pipelines to reduce turnaround time by 30%, influencing leadership strategic decisions.

Python SQL Excel A B Testing Statistical Analysis Data Visualization

Education

Degrees, certifications, and relevant coursework

University of the Pacific

Master of Science, Data Science

2023 - 2025

Master of Science in Data Science covering advanced ML, statistics, and data engineering with applied projects completed between Aug 2023 and May 2025.