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tysam-code/fern_resume.txt

Last active April 10, 2025 16:51
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fern_resume.txt
# NOTE: Resume originally formatted to fit a standard terminal screen (80 px)
Fern Balsam (she/they)
community-funded open-source ml researcher / part-time outdoor adventurer
9 years of experience developing and aggressively optimizing neural networks
[ primary ] goal: societal impact via applied research and surrounding work
[ secondary ] goal: pure research extending theory of deep learning
-------------------------------------------------------------------------------
| |
| Achievements |
| |
| - Recognized by OpenAI cofounder & former head of AI at Tesla for |
| significantly advancing the world record on a well-known benchmark: |
| https://x.com/karpathy/status/1620103412686942208 |
| |
| - Received unconditional cash grant from 30 under 30 entrepreneur Daniel |
| Gross and former GitHub CEO Nat Friedman to further support high |
| performance open source neural network research: https://aigrant.org/ |
| (listed under “TySam”, name used during transition) |
| |
| - Attended university from the ages of 16-20 on a full ride scholarship |
| as a National Merit Scholar, graduated with honors |
| |
| - Proud Eagle Scout & long-distance backpacker |
| |
-----------------------------------------------------------------------------
| |
| Research.Skills |
| |
| beginner skilled |
#| scratch implementation [##############......] |
#| distributed [#####...............] |
#| architecture design [###############.....] |
#| long-term perf. refinement [##################..] |
| |
#| architecture types: |
#| * transformer [###############.....] |
#| * recurrent [########............] |
#| * convolutional [##################..] |
| |
| |
| Dev.Style |
| |
| rapid [##################....] methodical |
| |
-----------------------------------------------------------------------------
-----------------------------------------------------------------------------
| |
| Career.Timeline |
| |
| [LU..*|BNSF*|BNSF..1.3y|EXP...................4.5y|Open-Source....2.7y] |
| ^_____^ .25 y |
| |
| |---------------------------------------------------------------------| |
| | Details | |
| ------------ |
| |
| 1|Intern 2|Intern |
| #|Liberty University [LU] #|[BNSF] Railways |
| #|tasks: [investigated,recommended #|tasks: [automated,monitored] |
| #| improvements to] physical campus mass repository migration to SVN |
| badge security |
| |
| 3|Software Developer 4|ML Research Engineer |
| #|[BNSF] Railways #|Expedition Technology [EXP] |
| #|tasks: [migrated,maintained, #|tasks: |
| #| provided on-call support] for #|* [source,filter,read,share] |
| large-scale EDI messaging system #| relevant [papers,techniques] |
| #|* [implement,prep,upgrade,maintain]|
| #| deployable models sourced via |
| #| [papers,github] |
| * [create,clean,maintain] data |
| [intake,pipelines,labels] |
| |
| 5|Community-Funded [Open Source] Researcher |
| # built several open-source pytorch projects & shared knowledge with |
| # community members over several years, supported by donations, |
| # savings, and occasional consulting/contracting work. |
| # popular projects: |
| # - hlb-CIFAR10, reducing the previous longstanding DawnBench world |
| # record by >2.5x: https://github.com/tysam-code/hlb-CIFAR10 |
| # - hlb-gpt, a rapid and simple trainer for developing and testing |
| # llm techniques: https://github.com/tysam-code/hlb-gpt |
| # - helped significantly contribute to reducing the world record time for |
| # modded-nanoGPT: https://github.com/KellerJordan/modded-nanogpt |
-----------------------------------------------------------------------------
-----------------------------------------------------------------------------
| |
| [SCHOOLING] [INTERESTS] |
| liberty university -- 3.54 gpa long-distance self-propelled adventure |
| comp science [maj], math [min]. info-theoretic approaches to |
| honors + national merit scholar understanding neural networks |
| building community |
| meaningful experiences |
| |
-----------------------------------------------------------------------------
| |~{ mailbox:[email protected] }~|
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