Shanil Kothari Email & Phone Number

Tysons Corner, Virginia, United States

• Developed and deployed a suite of cybersecurity automations for the federal ATO process using Google Apps, UiPath, Python. Automated report generation, reminder emails and compliance tasks, saving teams 120+ hours.
• Developed and launched a smart search solution using Python, Azure AI Search, and OpenAI for semantic search, sentiment analysis and AI-generated summaries to highlight public sentiment on proposed regulations.
• Built a proposal writing assistant using Python, Azure services. Streamlined document management with semantic chunking and retrieval, reducing proposal creation time by 70% and ensuring accurate, cited content.
• Developed a Teams App using Teams library, Python, OpenAI to automate user stories generation and seamlessly upload selected stories to Jira.
• Created AI voice chat simulator for USCIS and CBP training to enable realistic conversations with job-specific personas, enhancing employee onboarding and training assessment.

Tysons Corner, Virginia, United States

• Developed an automation bot using UiPath that processed more than 100,000 tax documents for Dept. of HHS.
• Implemented machine learning models and OCR to recognize more than 200 handwritten text fields.
• Developed an app using Python and UiPath to scrape web information for talent outreach.
• Developed a natural language chat bot that can answer complicated questions on large tabular data.

College Park, Maryland, United States

• Worked with customers to solve technical issues with any software or system errors by providing remote support.
• Used ServiceNow to create, manage and escalate tickets.
• Helped approximately 6 to 8 customers hourly with their issues, queries, incident reports and requests.

College Park, Maryland, United States

• Teaching Assistant for FIRE198 and FIRE298. Worked with professor to develop and teach relevant material for the class.
• Guided and helped students with technical doubts in their research projects and programming assignments.
• Conducted independent research on the impact of invasive species on Ash Trees in the US. Used R and species distribution prediction models to predict their locations to prevent further damage of trees.

College Park, Maryland, United States

• Research project was funded by and in collaboration with APHIS - United States Department of Agriculture.
• Student Lead for the team which predicted the potential spread of citrus diseases across the United States based on climatic and geographic data.
• Used the Olson Model to create a cost function to predict the spread across different plantations of citrus.
• Identified control measures and their impacts with the use satellite imagery and geographic object classification models to estimate the most efficient way to control the spread.

• Responsible for cleaning, collecting, and organizing data using Python and R.
• Developed an interactive dashboard using Microsoft Power BI to visualize the data that helped clients make key business decisions.

College Park, Maryland, United States

• Research project was a collaboration of FIRE with APHIS of the United States Department of Agriculture.
• Collected and used web data and data from state registries to identify farms selling livestock in Maryland, Delaware, and Virginia.
• Worked in R, Python and Google Cloud Platform to collect and scrape web data, clean it, and visualize it.
• Created an interactive web application using Shiny in R to display the data of more than 7000 possible farms which enabled APHIS to track small farms which are not listed with them.

Bachelor Of Science - Bs, Computer Science

High School Diploma