Shikhar Tiwari
Applied AI ML Associate
Mumbai, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolShikhar Tiwari is an Applied AI/ML professional based in Mumbai with a decade of experience building data-driven solutions across finance, research, and startups. At JPMorgan Chase he develops decision models for the full credit card lifecycle, applying diverse ML techniques to reduce risk and improve business efficiency. His background blends rigorous engineering (B.Tech+M.Tech from IIT BHU) with applied research—projects include large-scale web scraping and NLP of SEC filings, computer vision for image extraction, and geospatial analysis of 90k+ trip records. A startup founder and engineer at heart, he focuses on translating multidisciplinary data science into actionable business insights and interactive dashboards. Colleagues describe him as a structured thinker who pairs statistical rigor with practical product sensibility to move prototypes into production.
10 years of coding experience
Integrated Dual Degree (B.Tech + M.Tech), Biomedical Engineering, Integrated Dual Degree (B.Tech + M.Tech), Biomedical Engineering at Indian Institute of Technology (Banaras Hindu University), Varanasi
Github Skills (34)
deep-q-learning10
multiple-users10
multi-agent9
lstm9
q-learning9
agent8
deep-learning7
role-based7
api5
php5
laravel5
nodejs4
rest4
rest-api4
api-platform2
Programming languages (4)
Github contributions (5)
shkrwnd/Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access
May 2018 - Aug 2019
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
Contributions:14 commits, 1 PR, 18 pushes in 1 year 2 months
drqnagentlstm-cellsdeep-learninglstm
shkrwnd/openCV-js
Apr 2018 - Apr 2018
Contributions:13 commits, 9 pushes, 1 branch in 1 day
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