Falak Shah
Head Of Artificial Intelligence at Infocusp Innovations
Ahmedabad, Gujarat, India
Summary
👤
Senior🎓
Top SchoolFalak Shah is a seasoned AI leader with 11 years of experience advancing machine learning from research to production, currently serving as Head of Artificial Intelligence at Infocusp Innovations. A DA-IICT gold medalist with deep roots in both research and program management, Falak has progressed through roles from Research Scientist to Chief AI Officer, blending technical rigor with strategic leadership. He contributes to notable open-source ML projects—helping maintain Magenta’s TensorFlow-based music/arts tooling and improving CNN visualization utilities—demonstrating a focus on compatibility, usability, and reproducible research. Based in Ahmedabad, he pairs hands-on engineering (dependency management, refactoring, model tweaks) with product-minded delivery, and has early experience applying Kalman filters in satellite navigation at ISRO. Colleagues describe him as a practitioner who bridges academic insight and production-grade ML systems while keeping an eye on developer experience.
11 years of coding experience
8 years of employment as a software developer
Master’s Degree Gold medalist in M.Tech (ICT), Master’s Degree Gold medalist in M.Tech (ICT) at DA-IICTBachelor of Technology (BTech) Electronics and Communications Engineering, Bachelor of Technology (BTech) Electronics and Communications Engineering at Nirma UniversityHigher Secondary Certificate exam Science, Higher Secondary Certificate exam Science at SNGV
English, Hindi, Gujarati
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
mask-rcnn10
faster-rcnn10
visualization10
tensorflow10
visualizations10
python10
setuptools9
py9
machine-learning9
anaconda8
devops8
cicd7
scikit-image6
Programming languages (8)
Github contributions (5)
infocusp/tf_cnnvis
Mar 2017 - Mar 2019
CNN visualization tool in TensorFlow
Role in this project:
ML Engineer
ML EngineerContributions:2 releases, 35 commits, 6 PRs in 2 years
Contributions summary:Falak primarily contributed to the `tf_cnnvis` repository by updating the `setup.py` file to include necessary dependencies and correct the license type. They also made changes to the `utils.py` and `tf_cnnvis.py` files, indicating efforts to refine the CNN visualization functionality by removing code replications and restructuring output folders. These changes suggest the user focused on improving the tool's usability and stability, likely to enhance its ability to visualize CNN models within the TensorFlow framework.
pythondeep-learningtensorflowkerascnn
magenta/magenta
Nov 2018 - Nov 2019
Magenta: Music and Art Generation with Machine Intelligence
Role in this project:ML Engineer
ML EngineerContributions:15 commits, 9 PRs, 25 comments in 11 months
Contributions summary:Falak primarily focused on maintaining and updating the installation and configuration of the Magenta environment, including dependencies like TensorFlow and Python versions. Their contributions also included addressing deprecation warnings and ensuring compatibility with Python 3. These efforts demonstrate a focus on ensuring the project's stability, usability, and compatibility with evolving libraries and environments. They made small changes within the model and data aspects of the repo.
artmusic-generationgenerative-artmagentamachine-learning
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