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I am Rushil Patel, an AI Engineer with about one year of hands-on experience building end-to-end ML solutions, including data engineering, predictive modeling, NLP, and cloud deployments. I thrive on turning messy data into actionable insights and building scalable inference services using Python, SQL, PyTorch, TensorFlow, and Docker. My strengths include automating ETL pipelines, optimizing model performance, and delivering measurable improvements in efficiency and decision-making. I maintain a solid foundation in MLOps, data cleaning, and statistical analysis, with a collaborative, results-oriented approach.…I am Rushil Patel, an AI Engineer with about one year of hands-on experience building end-to-end ML solutions, including data engineering, predictive modeling, NLP, and cloud deployments. I thrive on turning messy data into actionable insights and building scalable inference services using Python, SQL, PyTorch, TensorFlow, and Docker. My strengths include automating ETL pipelines, optimizing model performance, and delivering measurable improvements in efficiency and decision-making. I maintain a solid foundation in MLOps, data cleaning, and statistical analysis, with a collaborative, results-oriented approach.

Rushil Patel

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I am Rushil Patel, an AI Engineer with about one year of hands-on experience building end-to-end ML solutions, including data engineering, predictive modeling, NLP, and cloud deployments. I thrive on turning messy data into actionable insights and building scalable inference services using Python, SQL, PyTorch, TensorFlow, and Docker. My strengths include automating ETL pipelines, optimizing model performance, and delivering measurable improvements in efficiency and decision-making. I maintain a solid foundation in MLOps, data cleaning, and statistical analysis, with a collaborative, results-oriented approach.…I am Rushil Patel, an AI Engineer with about one year of hands-on experience building end-to-end ML solutions, including data engineering, predictive modeling, NLP, and cloud deployments. I thrive on turning messy data into actionable insights and building scalable inference services using Python, SQL, PyTorch, TensorFlow, and Docker. My strengths include automating ETL pipelines, optimizing model performance, and delivering measurable improvements in efficiency and decision-making. I maintain a solid foundation in MLOps, data cleaning, and statistical analysis, with a collaborative, results-oriented approach.

Available to hire

I am Rushil Patel, an AI Engineer with about one year of hands-on experience building end-to-end ML solutions, including data engineering, predictive modeling, NLP, and cloud deployments. I thrive on turning messy data into actionable insights and building scalable inference services using Python, SQL, PyTorch, TensorFlow, and Docker.

My strengths include automating ETL pipelines, optimizing model performance, and delivering measurable improvements in efficiency and decision-making. I maintain a solid foundation in MLOps, data cleaning, and statistical analysis, with a collaborative, results-oriented approach.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Engineer at Cisco

January 1, 2025 - Present

Designed Python-based ETL pipelines integrating 1.5M+ records from PostgreSQL into AWS RDS, applying data cleaning, wrangling, and transformation for consistent downstream machine learning workloads. Built and optimized classification models using scikit-learn and TensorFlow, improving defect detection accuracy by 21% across Cisco’s network hardware quality datasets, enabling early issue identification and proactive remediation. Developed NLP pipelines using SpaCy and NLTK to extract key insights from 100K+ customer support tickets, automating sentiment classification, reducing manual triage workload by 35%. Created interactive Tableau and Power BI dashboards visualizing AI-driven predictions, enabling 120+ stakeholders to track KPIs, reduce decision-making time by 22%, and improve operational transparency. Containerized deep learning models with Docker and deployed on AWS EC2, integrating with REST APIs, ensuring scalable, reproducible inference services serving 10K+ daily predictio