Kubair.org - Modeled augmented hybrid intelligent system for the self-sustaining distributed workforce through vernacular data tagging and refining• Managed a team of interns via unconventional methods under the Data Intelligence department for effective data and market research• Spearheaded the entire Internship Program for 2 months with the unique recruiting procedure• Developed advanced cost-efficient technology-driven Town Planning Strategy focused on Indian rural ecosystem

• Worked on developing the trade network for transport of medical supplies inter and intra-state for efficient COVID-19 handling using R and Stata.• Researched over 2018 Kerela Floods implications over different business and trade fluctuations in different Indian states due to it.• Used NLP to understand how the RBI monetary policies and news articles transformed post-2015 Inflation targeting agreement.

• Configuration developer in R2 team for US-based Farmer’s Insurance company - worked on Guidewire Claim Center 8.0 • Developed 16+ major GUI modules and its end-to-end data functionality; worked as a code reviewer for the off-shore team; trained in core Java 8 and SQL

Developed a Convolutional Neural Network for Unsupervised Domain Adaptation using Deep Learning framework Caffe. Main highlights were: • Fine-tuned the model with BVLC Alexnet model, the replication of the model described in the AlexNet publication• Achieved an accuracy of 74.4% for Domain Adaptation Networks and 62.6% for Residual Transfer Network using MMD as loss functions• Implemented Wasserstein metric as a loss function for comparing the source and the target distributions and achieved the state-of-art results