Alisamar Husain
Research Associate
Dresden, Saxony, Germany
Summary
🤩
Rockstar🎓
Top SchoolAlisamar Husain is a research-focused software engineer with eight years of experience building full-stack web applications and production-ready machine learning systems. Based in Dresden, she combines design-first, performant web development with hands-on research in machine intelligence and soft computing while pursuing an MS in Computational Modelling and Simulation. Her open-source contributions include significant ML engineering work on Facebook Research’s SeamlessM4T—improving evaluation pipelines, language support, and finetuning stability and GPU memory usage—which underscores her ability to ship robust, research-grade tooling. She has applied ML to high-impact domains from surgical video synthesis and cancer genomics to explainable time-series forecasting and blockchain tooling at Solana. Comfortable across frontend, backend and ML stacks, she also teaches about large language models and brings a pragmatic, experiment-driven approach to complex problems. Colleagues know her for relentlessly iterating on models and systems—“punishing machines until they learn”—while keeping solutions production-ready.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computational Modelling and Simulation, Master of Science - MS Computational Modelling and Simulation at Technische Universität DresdenSecondary School Education Science, Secondary School Education Science at The Indian SchoolBachelor of Technology - BTech Electrical Engineering, Bachelor of Technology - BTech Electrical Engineering at Jamia Millia Islamia
Hindi, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
machine-translation10
machine-learning10
pytorch10
nlp10
python10
huggingface-datasets10
datasets10
data-pipelines9
data-pipeline9
metric9
evaluation9
cli8
fine-tuning7
Programming languages (12)
Github contributions (5)
facebookresearch/seamless_communication
Feb 2024 - May 2024
Foundational Models for State-of-the-Art Speech and Text Translation
Role in this project:
ML Engineer
ML EngineerContributions:23 reviews, 10 PRs, 32 comments in 2 months
Contributions summary:Alisamar made significant contributions to the `seamless_communication` repository, focusing on the `m4t_evaluate` and `finetune` functionalities. They enabled support for manifest JSON files within the evaluation pipeline. They added a Spanish language code mapping. They addressed critical issues related to float precision and GPU memory optimization within the finetuning CLI. Additionally, the user implemented code for downloading Gigaspeech datasets and fixed related issues.
zrthxn/8puter
Apr 2022 - May 2024
Contributions:2 releases, 43 pushes, 1 branch in 2 years 2 months
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