Bhagyesh Vikani
Technical Lead at Infocusp Innovations
Ahmedabad, Gujarat, India
Summary
👤
Senior🎓
Top SchoolBhagyesh Vikani is a Technical Lead with nine years of hands-on experience building and shipping machine learning solutions at Infocusp Innovations in Ahmedabad. He leads research and engineering efforts on projects ranging from stock movement forecasting across multiple horizons to a universal optimizer for deep neural networks. Comfortable across the stack, he has contributed to open-source tooling such as a TensorFlow CNN visualization project by preparing setup, examples, and pretrained-weight integration to make models usable out of the box. His background blends an ICT honours B.Tech with Udacity computer science coursework, giving him both formal and self-directed training in computational methods. Passionate about applying ML to real-world problems, he is particularly focused on solutions that address challenges in developing countries. Colleagues describe him as a research-minded practitioner who bridges prototype work and production-ready systems.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology (B.Tech.), ICT honours with minors in Computational Science, 8.12, Bachelor of Technology (B.Tech.), ICT honours with minors in Computational Science, 8.12 at Dhirubhai Ambani Institute Of Information And Communication TechnologyPrimary And secondary School, Std: 4th - 10th, A+, Primary And secondary School, Std: 4th - 10th, A+ at Shri G.T. Sheth VidyalayComputer Science, Computer Science at UdacityHSC, 10/+2, A2, HSC, 10/+2, A2 at Swastik School Of Science
Gujarati, Hindi, English
Stackoverflow
66reputation
3kreached
2answers
0questions
Github Skills (8)
neural-network10
convolutional-neural-networks10
tensorflow10
python10
machine-learning9
computer-engineering8
keras6
tensorboard6
Programming languages (4)
Github contributions (5)
infocusp/tf_cnnvis
Mar 2017 - Mar 2019
CNN visualization tool in TensorFlow
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1 release, 51 commits, 4 PRs in 2 years
Contributions summary:Bhagyesh contributed to the project by adding setup and example files, as well as updating the `setup.py` file to include necessary dependencies and download pre-trained weights. The commits indicate the user's involvement in setting up the project environment, integrating external resources, and potentially preparing for or integrating visualization tools. These changes suggest a focus on making the CNN visualization tool functional and ready for use with pre-trained models, potentially encompassing both backend setup and example usage.
pythondeep-learningtensorflowkerascnn
BhagyeshVikani/Iris
Aug 2016 - Jun 2017
Contributions:8 commits, 6 pushes, 1 branch in 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.