Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am Harshil Patil, an AI/ML Engineer based in Ottawa with 3+ years of experience building scalable ML systems and deploying AI models into production APIs. I specialize in automating data pipelines, working with large datasets in cloud-based environments, and delivering measurable ML outcomes through reusable components and collaboration with engineering, analytics, and product teams.\n\nI excel at model monitoring, drift detection, and end-to-end ML workflows using AWS/GCP, Dataproc, Vertex AI, and streaming architectures. I value Agile practices, CI/CD, and translating business needs into robust, scalable ML solutions that drive real impact.…I am Harshil Patil, an AI/ML Engineer based in Ottawa with 3+ years of experience building scalable ML systems and deploying AI models into production APIs. I specialize in automating data pipelines, working with large datasets in cloud-based environments, and delivering measurable ML outcomes through reusable components and collaboration with engineering, analytics, and product teams.\n\nI excel at model monitoring, drift detection, and end-to-end ML workflows using AWS/GCP, Dataproc, Vertex AI, and streaming architectures. I value Agile practices, CI/CD, and translating business needs into robust, scalable ML solutions that drive real impact.

Harshil Patil

Data Scientist, AI Engineer, AI Developer, +7





I am Harshil Patil, an AI/ML Engineer based in Ottawa with 3+ years of experience building scalable ML systems and deploying AI models into production APIs. I specialize in automating data pipelines, working with large datasets in cloud-based environments, and delivering measurable ML outcomes through reusable components and collaboration with engineering, analytics, and product teams.\n\nI excel at model monitoring, drift detection, and end-to-end ML workflows using AWS/GCP, Dataproc, Vertex AI, and streaming architectures. I value Agile practices, CI/CD, and translating business needs into robust, scalable ML solutions that drive real impact.…I am Harshil Patil, an AI/ML Engineer based in Ottawa with 3+ years of experience building scalable ML systems and deploying AI models into production APIs. I specialize in automating data pipelines, working with large datasets in cloud-based environments, and delivering measurable ML outcomes through reusable components and collaboration with engineering, analytics, and product teams.\n\nI excel at model monitoring, drift detection, and end-to-end ML workflows using AWS/GCP, Dataproc, Vertex AI, and streaming architectures. I value Agile practices, CI/CD, and translating business needs into robust, scalable ML solutions that drive real impact.

Available to hire

I am Harshil Patil, an AI/ML Engineer based in Ottawa with 3+ years of experience building scalable ML systems and deploying AI models into production APIs. I specialize in automating data pipelines, working with large datasets in cloud-based environments, and delivering measurable ML outcomes through reusable components and collaboration with engineering, analytics, and product teams.\n\nI excel at model monitoring, drift detection, and end-to-end ML workflows using AWS/GCP, Dataproc, Vertex AI, and streaming architectures. I value Agile practices, CI/CD, and translating business needs into robust, scalable ML solutions that drive real impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI Engineer at Teradata

November 1, 2023 - Present

Built and deployed end-to-end machine learning models for classification, regression, and recommendation systems using Scikit-learn, TensorFlow, and XGBoost within an Agile/Scrum workflow. Designed Python-based microservices using FastAPI to serve real-time predictions via REST APIs, supporting millions of daily requests in production. Architected and implemented Retrieval-Augmented Generation (RAG) pipelines integrating LLMs with vector search. Integrated Dataproc with BigQuery, GCS, and Vertex AI to support end-to-end AI/ML workflows, including data transformation, validation, and model-ready dataset generation. Implemented model performance tracking and drift detection using MLflow, custom logging, and real-time dashboards built in Streamlit and Grafana. Pub/Sub with Dataflow and Spark (Dataproc) for scalable streaming pipelines.

Data Scientist at Wipro Enterprises

June 1, 2021 - November 1, 2022

Developed predictive models (Logistic Regression, Random Forest, Gradient Boosting) for churn, fraud detection, lead scoring, and demand forecasting; performed feature engineering, dimensionality reduction (PCA, UMAP) and imputation; automated data cleaning and transformation pipelines from MySQL, PostgreSQL, and Snowflake; applied NLP techniques and built early-stage RAG-style retrieval systems for business documents; produced Power BI/Tableau visualizations; built production-grade LLM-powered systems and event-driven ML architectures using Pub/Sub; deployed models via Flask APIs and Docker; authored model/docs for analytics teams and stakeholders.

Data Scientist at Wipro Enterprises, India

June 1, 2021 - November 1, 2022

Developed predictive models using Logistic Regression, Random Forest, and Gradient Boosting for churn prediction, fraud detection, lead scoring, and demand forecasting. Performed feature engineering, dimensionality reduction (PCA, UMAP), and imputation to improve accuracy across multi-source datasets. Built automated pipelines in Python/SQL to clean and transform data from MySQL, PostgreSQL, and Snowflake. Applied NLP techniques (TF-IDF, topic modeling, text classification) to analyze customer reviews and built early-stage RAG-style retrieval systems for business document search. Implemented production-ready LLM-powered components and deployed models via Flask APIs, containerized with Docker, versioned in Git, and integrated with Pub/Sub for event-driven retraining.