Ala L
Technical Lead, Machine Learning at D-BOX Technologies Inc.
Montreal, Quebec, Canada
Summary
🤩
Rockstar🎓
Top SchoolAla L is a Technical Lead in Machine Learning based in Montreal with nine years of multidisciplinary experience spanning software engineering, AI/ML, signal processing, haptics and mechanical systems. At D-BOX she has progressed from software designer to leading ML efforts, shipping motion-integrated experiences for games and VR and developing production motion plugins tied to major titles and events. Her open-source contributions to the well-regarded SpeechBrain toolkit improved feature extraction flexibility (Fbank/MFCC) and fixed filterbank bugs, reflecting practical expertise in audio ML. Trained in software engineering and pursuing advanced ML studies at Mila, she combines low-level DSP and C++ proficiency with modern PyTorch-based ML practices. Colleagues know her for quickly prototyping complex integrations—learning tools like Unreal Engine in days—to bridge research, product, and engineering.
9 years of coding experience
7 years of employment as a software developer
Prof. MSc. in Machine Learning, Artificial Intelligence, Prof. MSc. in Machine Learning, Artificial Intelligence at Mila - Institut Québécois d'Intelligence ArtificielleBachelor, Software Engineering, Bachelor, Software Engineering at Université de Montréal - Ecole polytechnique de Montréal
Github Skills (12)
speech-to-text10
pytorch10
speech-recognition10
audio-processing10
speechbrain10
python10
feature-extraction10
mfc9
mfcc9
machine-learning9
deep-learning8
asr8
Programming languages (4)
Github contributions (5)
speechbrain/speechbrain
Mar 2021 - Apr 2021
A PyTorch-based Speech Toolkit
Role in this project:
ML Engineer
ML EngineerContributions:1 review, 8 commits, 1 PR in 8 days
Contributions summary:Ala primarily focused on modifying and improving feature extraction components within the SpeechBrain toolkit. This involved exposing and integrating new arguments for feature calculation modules such as Fbank and MFCC, enhancing their flexibility. Further contributions include fixing bugs related to the parameters passed to the Filterbank functions.
voice-recognitionasrspeech-recognitionspeech-separationspeaker-verification
korra141/dt-core
Nov 2022 - Dec 2022
This is the code that runs the core stack on the Duckiebot in ROS
Contributions:13 PRs, 46 pushes, 16 branches in 1 month
roboticsrosruns
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