Contact:ahaan@octoml.ai,altanh.com,linkedin.com/in/altanh
Education
| University of Washington | 2016 – 2020 |
Bachelor of Science, Computer Science (with Minor in Math), Cum Laude, Departmental Honors
Cumulative GPA: 3.86 / 4.00, Major GPA: 3.92 / 4.00
Honors Thesis: Simulating Dynamic Tensor Rematerialization, available here
Advisor: Zachary Tatlock
Publications and Preprints
| [1] | Marisa Kirisame, Steven Lyubomirsky, Altan Haan, Jennifer Brennan, Mike He, Jared Roesch, Tianqi Chen, and Zachary Tatlock. Dynamic tensor rematerialization. In International Conference on Learning Representations, 2021. [ http ] |
| [2] | Altan Haan. Simulating dynamic tensor rematerialization, 2020. |
Experience
Research Experience
| University of Washington | May. 2019 – Sep. 2020 |
Undergraduate Research Assistant, with UW SAMPL and advised by Zachary Tatlock.
Contributed to the TVM Deep Learning Compiler project, by implementing missing gradients for operators in TVM's Relay differentiable IR, to help enable training in TVM.
Helped lead a research team on Dynamic Tensor Rematerialization, a novel, fully dynamic, and framework generic runtime system which enables training dynamic deep learning models in memory constrained environments. Developed a simulated runtime to explore the algorithm design space and obtain theoretical data, and wrote a proof sketch for asymptotic performance.
| University of Washington | 2018 – 2019 |
Undergraduate Research Assistant, with James Bornholt.
Performed exploratory research on characterizing the behavior of the conflict-driven program synthesis algorithm developed by Yu Feng et al. at PLDI 2018, by reimplementing it in Rosette/Racket.
Developed a metric for the quality of learnt conflicts, and additional heuristics to improve performance.
Industry Experience
| OctoML | Sep. 2020 – Present |
Software Engineer, MLSys Team
Developing a deep learning training framework for TVM using Relay in Python.
Note: I was an intern until Feb. 2021.
| DocuSign | Jun. 2019 – Sep. 2019 |
Software Engineer Intern, Cloud Services Team
Integrated Terraform AWS and Azure cloud infrastructure automation with an in-house automation/control dashboard.
Created a unified cloud VM provisioning and management task to boost developer productivity, using PowerShell and Python 3.
Awards
| ADA Lynn Conway Research Award | 2020 |
| UW Annual Dean's List | 2016 – 2018, 2019 – 2020 |
Service
| UW Early Entrance Program Mentor | 2017 – 2018 |
Relevant Coursework
Note: graduate courses are marked with a *
| Computer Aided Reasoning for Software* | UW CSE 507 |
| Programming Languages* | UW CSE 505 |
| Design and Implementation of Domain-Specific Languages | UW CSE 402 |
| Machine Learning | UW CSE 446 |
| Introduction to Deep Learning | UW CSE 490 G1 |
| Natural Language Processing | UW CSE 447 |
| Introduction to Distributed Systems | UW CSE 452 |
| Accelerated (Honors) Advanced Calculus | UW MATH 334-6 |
| Accelerated (Honors) Calculus | UW MATH 134-6 |
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