Software Engineer · Machine Learning · Data Management
Toronto, Canada
📧 [email protected] | 📞 +1 226-220-7123
🔗 LinkedIn | GitHub
- Gain deeper insights into ML workflows across diverse domains
- Continue refining system design skills through experience and learning
- Aspire to lead ML and data teams, fostering a collaborative and scalable platform culture
- Languages & Tools: Python, Golang, Git, Databricks, Spark, AWS, Kubernetes, Kubeflow, Airflow, Terraform, CloudFormation, Flyte, CICD
- Expertise: Machine Learning, Data Management, Agile/Scrum, ML Platforms, Software Architecture
- Soft Skills: Teamwork, Technical Leadership, Agile Facilitation
Ripple, Toronto, ON, Canada
Nov 2022 – Present
- Led automated migration of Databricks workspace from GCP to AWS, shrinked migration into days from months.
- Built reusable Python-based ML platform library for Databricks, standardized ML and Data Engineering codes from 13 repos into 1.
- Created generalized data pipelines used org-wide, single repo to rule 30+ pipelines with automated deployments.
- Facilitated agile ceremonies and cross-team design reviews
Arctic Wolf, Waterloo, ON, Canada
Jan 2022 – Nov 2022
- Led requirements/design for ML platform tailored to security use-cases.
- Delivered 2 PoCs for ML workflow orchestrator evaluation,
- Deployed Kubeflow and Flyte for orchestration in dev environment.
- Led project onboarding onto Flyte dev deployment.
Borealis AI (RBC), Waterloo, ON, Canada
Jul 2019 – Jan 2022
- Designed/implemented ETL & reverse ETL data access platform (Parquet on S3, Delta Lake)
- Reduced data retrieval from hours to seconds
- Enabled real-time synthetic + real credit card data onboarding
- Created Python solution for ML teams improving time-series data access
Pronav, Kitchener, ON, Canada
Aug 2018 – Jul 2019
- Replaced SVM NLU engine with Neural Network NLU engine → 100x faster, $1000s/month saved
- Built accuracy evaluation tool using confusion matrix for text classification
- Overhauled data cleaning process → 10–15% accuracy gain
University of Waterloo, Waterloo, ON, Canada — 2016–2018
- Built ROS deployment on QNX over ARM
- Focus: Machine Learning, Software Architecture
UET Lahore, Pakistan — 2009–2013
- Focused on low-level computing, built a Beowulf Cluster
- Data Engineering Nanodegree – Udacity
- Accelerating Data Pipelines – NVIDIA
- Deep Learning Specialization – deeplearning.ai (Coursera)
- Neural Networks, CNNs, RNNs, ML Structuring
"An Automated Vehicle Safety Concept Based on Runtime Restriction of the Operational Design Domain"
IEEE Intelligent Vehicle Symposium, June 2018
- Deep Learning + ROS to detect obstructed cameras in autonomous vehicles
- English – Working proficiency
- Urdu – Native
"Success is a few simple disciplines, practiced every day..."
– Jim Rohn
"Really understand the basic material..."
– S.S. Skiena
"Thinker and doer in one person..."
– Steve Jobs
"I stay with the questions much longer."
– Albert Einstein
Available on request. Include:
- Khaled Ammar (ex-Google)
- Amir Abdi (Microsoft)
- George Long (ex-RBC)
- Nada Saiyed