Rajiv Abraham
ML Engineer II at TD
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolRajiv Abraham is an ML Engineer II with 14 years of cross-disciplinary experience building production-ready ML platforms, serverless model servers, and developer tooling. He combines hands-on expertise in Spark, Databricks, Ray, MLflow, Sagemaker and Delta Lake with a strong engineering discipline—advocating TDD, containerization, load testing and robust monitoring across the ML lifecycle. Rajiv has led platform teams and founded a startup that deployed Jupyter-based serverless data products, and he has a history of shipping novel tooling like Thampi (serverless model deployment), Mercylog (Datalog for analytics/ML) and Jaya (AWS pipeline DSL). A community builder and polyglot tinkerer, he organized a functional programming meetup for three years and experiments with language- and compiler-level solutions to improve developer productivity. Notably, he blends research rigor from a masters in CS with pragmatic production experience—often proving concepts end-to-end from prototype to SOC2-compliant deployments. Based in Toronto, he frequently surfaces non-obvious optimizations (e.g., feature-store compression and serialization tradeoffs) that materially reduce cost and operational risk.
14 years of coding experience
17 years of employment as a software developer
Masters, Computer Science, Masters, Computer Science at Concordia UniversityBachelor, Computer Engineering, Bachelor, Computer Engineering at University of Mumbai
python
Stackoverflow
6,166reputation
480kreached
33answers
121questions
Github Skills (13)
html10
javascript9
java6
aws-lambda6
assertion6
eclipse6
boto6
junit6
amazon-web-services6
nix6
amazon-s36
scala6
css5
Programming languages (28)
Github contributions (5)
Khan/khan-exercises
Dec 2011 - Dec 2011
A (deprecated) framework for building exercises to work with Khan Academy.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:6 commits in 11 days
Contributions summary:Rajiv contributed to the Khan Academy exercises framework by modifying existing HTML files to include new features and fix existing issues. Their work involved adding and removing libraries, modifying HTML elements with data attributes, and implementing interactive sorting functionality. The changes focused on the visual presentation and interactive elements within the exercises, enhancing the user experience. The user also updated hints and incorporated feedback from other developers, improving the clarity and functionality of the exercises.
khan-academy
RAbraham/mercylog
Sep 2019 - Oct 2020
Datalog based relational programming in Python.
Contributions:46 commits, 2 PRs, 169 pushes in 1 year 1 month
datalogpython
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