Soumendra Dhanee
Mumbai, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolSoumendra Dhanee is a generative AI leader and founder with 15 years of experience building production-grade ML and data engineering systems from Mumbai. As Founder/CTO of Difference Engine AI and now Head of Generative AI at InVideo, he has shipped computer-vision and audio models including semantic image search, defect detection for industrial radiography, volumetric MRI estimation, a realtime GAN lip-sync model and studio-quality voice enhancement. He blends deep research instincts with product-first engineering, routinely taking prototypes through deployment in latency- and accuracy-sensitive pipelines. His background spans applied deep learning, recommender systems and large-scale ETL, and he has designed ML curricula used by industry training programs. Known for turning complex imaging problems into pragmatic solutions, he also brings quantitative rigor from earlier risk-analytics and statistical modelling roles. Based in Mumbai with a foundation in mathematics and computing, he pairs academic discipline with hands-on startup execution.
15 years of coding experience
13 years of employment as a software developer
BSc (Hons) in Mathematics and Computing, Mathematics and Computer Science, BSc (Hons) in Mathematics and Computing, Mathematics and Computer Science at Institute of Mathematics and Applications
Github Skills (91)
python10
deep-learning10
jax10
data-science10
tensorflow10
pytorch10
machine-learning10
data-visualization8
matlab8
streamlit8
flask8
octave8
react8
parsing8
theano8
Programming languages (9)
Github contributions (5)
soumendra/python-machinelearning-setup
Mar 2017 - Nov 2017
Quickly set-up a Python environment for machine learning and data science projects
Contributions:58 commits, 54 pushes, 1 branch in 8 months
data-sciencemachine-learningpython
soumendra/lecture_bdap2015
Nov 2015 - Feb 2017
Lecture Notes and Class Assignments for the Big Data and Analytics Program, 2015.
Contributions:29 commits, 14 PRs, 26 pushes in 1 year 3 months
big-data
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