Wasif Khan

Wasif Khan

Machine Learning Engineer
Canada

About Me

8 years of full-time experience analyzing big data, deploying machine learning models and maintaining ML pipelines.

Experienced with Apache big data tools, ML lifecycle frameworks, deep learning libraries and foundation…

Experience

Staff Machine Learning Engineer

Aviva Insurance
Jul 2020 - Present · 6 years

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Staff Machine Learning Engineer

Aviva Insurance | Toronto, ON
Jul 2020 - Dec 2023 · 3 years 5 months

Developed a machine learning pipeline on Azure ML with neural nets built in Keras to predict auto insurance premiums.
Utilized feature engineering to analyze driving routes data to assess the feasibility of predicting road riskiness.
Fine-tuned LLM GPT for auto insurance use with sophisticated prompt engineering and image generation for road risk.
Core Technologies: Azure ML, Databricks, Keras, Kubernetes, Numpy, Pandas, Python, Spark, Weights&Baises, XGBoost

Senior Machine Learning Engineer

Bloomberg L.P. | New York, NY
Sep 2018 - Apr 2020 · 1 year 7 months

Analyzed 10,000,000+ news data using natural language processing and deep learning to rank order global events.
Enhanced graphical tools in MLFlow using databricks through optimizations in data collection and preparation.
Spearheaded a department-wide initiative to evaluate legacy models against deep learning models for accuracy.
Core Technologies: Kafka, Matplotlib, MLflow, Numpy, Pandas, Python, PyTorch, Tableau, Tensorflow, Scikit-learn, Theano

Computer Science Lecturer (Part-time)

University of Waterloo | Waterloo, ON
Jan 2016 - Aug 2018 · 2 years 7 months

Taught baccalaureate-level computer science courses with enrollments of up to 500 students each semester.
Stayed current with latest developments in computer science to enhance curriculum and maintain industry relevance.
Developed and updated curricula containing 100+ slides and exercises, to align with evolving industry needs.
Utilized machine learning to analyze 100,000+ grades, identifying curriculum bottlenecks for improvement.

Software Engineer

BlackBerry | Waterloo, ON
Sep 2015 - Jun 2018 · 2 years 9 months

Analyzed 100,000,000+ performance testing data with regression based models to determine bottlenecks in the system.
Executed functional and integration testing through development of device simulations and product replicas.
Developed performance tests on BlackBerry systems in C++ with analysis and insights using Scikit-learn and Matplotlib.
Core Technologies: AWS, C++, Docker, Google Cloud, Matplotlib, Numpy, Pandas, Python, SQL, Scikit-learn

Skills

Python MLOps Model Lifecycle Model Engineering Model Evaluation Natural Language Processing Affective Computing Cloud Computing Feature Engineering Data Visualization Generative AI Deep Learning Apache big data tools ML lifecycle frameworks LLMs Azure ML Keras Databricks Kubernetes NumPy Pandas Spark Weights & Biases XGBoost Kafka Matplotlib MLflow PyTorch Tableau TensorFlow Scikit-learn Theano AWS C++ Docker Google Cloud SQL
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