Led the development of a data quality dashboard (frontend) for the FML Team. Technologies used - react, redux, and typescript.

Built features like pagination on tables, debounce on error search, accordion on error table, various types of charts, optimized API calls, and others.

Guided and trained colleagues in frontend development in react.

Designed REST APIs using Mulesoft to interact with the backend server.

Automated the deployment of mule applications by setting up GitLab CI/CD along with GitLab mirroring.

Led the team for a month and received 2 Raving Review Award, and an Ace Award for appreciation from clients and managers.

Led a team of 5 and designed and developed a data lake system covering more than 50 data sources using MongoDB, Bigtable, GCS, Python, Flask, Docker, and Compute Engine VMs.

Developed Explainable AI for Time Series Model for GDELT, Civil Unrest in US, Economic Policy Uncertainity and Geopolitical Risk Index.

Worked with Dr. Saurabh Mishra on HAI, Stanford AI Index 2021 research project, we collected and visualized AI conference data providing a unique research analysis and visualization for policymakers.

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Automated about 60 percent of the scripts using Docker, crons and airflow.

Developed the company platform on Linux OS (Ubuntu) and added 40 percent new features to the platform using Python, SQL, and Selenium.

Extracted data through web scraping from 20+ websites using Python libraries such as Scrapy, HTML Parser, and Urllib.

Developed a Speech Emotion Recognition system using MFCC and CNN based classifier.

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