Software Developer

NISHA DEBORAH PHILIPS

The University of Texas at Dallas, 800 West Campbell Road Richardson, TX 75080 Contact no: +1-945-***-**** Email: *********@********.*** LinkedIn: www.linkedin.com/in/nisha-deborah-philips SUMMARY

Computer Science graduate skilled in machine learning and software development, with notable contributions to diverse projects and impactful research experiences.

EDUCATION

Master of Science in Computer Science May 2024

University of Texas at Dallas GPA: 3.704/4

Bachelor of Engineering in Computer Science and Engineering April 2021 Madras Institute of Technology (MIT) Campus, Anna University, Chennai GPA: 3.8/4 PROFESSIONAL EXPERIENCE

AI Intern Jan 2024 - Present

Mortgage Machine, Remote

• Developed and implemented machine learning for mortgage document classification while automating document feature extraction and neural network model refinement

• Developed a comprehensive .NET-based dashboard to facilitate efficient management and visualization of neural network models.

• Implemented Continuous Integration/Continuous Deployment (CI/CD) pipelines to ensure seamless version control and automated deployment processes.

Software Developer Intern June 2023 - August 2023

UrgentCare2Go, Keller, TX, USA

• Worked collaboratively on a platform which is built in .NET framework

• Utilize experience in C#, JavaScript, HTML5, SQL, GitHub, and Visual Studio to debug and add new features to the application

• Assist the CTO with re-building the platform to increase dynamic features

• Set up the testing framework for the web applications using Selenium, and achieved 85.4% test coverage Program Associate July 2021 - August 2022

Wells Fargo, Bangalore, India

• Developed a web application using C#, JAVA, Angular, NodeJS, REST APIs and .NET (PCF cloud compatible) that served as a dashboard for customers trading in the stock market

• Performed quality assurance by running regression and unit tests periodically using Jasmine and XUNIT/NUNIT framework, and attained a test coverage of 96.6%

• Collaborated on a JAVA based web application as a part of stretch work, added a REST API to check the availability of data Software Developer Intern May 2019 - July 2019

Team Daksha, Centre of Aerospace Research (CASR), Chennai, India

• Aided in the design of the NPNT (No Permission No Take-off) software which makes use of the UAVs flight history and co-ordinates to grant permission for flights

• Front end: PHP, HTML, CSS Back end: MySQL OS: Linux, Raspbian TECHNICAL SKILLS

• Software: Microsoft Office, Adobe software, Agile methodology, JIRA, Azure cloud

• Programming languages: Python, Java, HTML, CSS, JS, Node, Angular, Dotnet, C#, Oracle, SQL ACADEMIC PROJECTS

Depth Estimation for Robots in Indoor Environments (Python) Jan 2024 - Present

• Research aimed at developing depth estimation systems tailored for robot navigation in indoor settings.

• Leveraged Python and GPU acceleration to optimize computational performance and enhance real-time depth perception. Trajectory Generation Algorithm and Weed Density mapping (Machine Learning, Image processing, Python) August 2020 - April 2021

• Proposed a drone trajectory generating algorithm based on a Genetic Algorithm (GA) and a Non-Uniform Rational P-Splines (NURPS) optimizer.

REM Framework based Path Planning for Restricting UAV Activities in No- Fly Zones (Python) October 2019 - December 2019

• Proposed an efficient path planning for the UAV using the Adaptive and Random Exploration - Modified (AREM) framework to prevent the UAVs from entering the restricted areas.

RESEARCH EXPERIENCE

Research Assistant September 2023 – December 2023

ArtSci Lab, The University of Texas at Dallas

• Researched the implications of Large Language Models (LLM) in search advertisement copywriting Research Team Member October 2022 - May 2023

IQ Design, The University of Texas at Dallas

• Collaborate with other research centers to communicate the significance of innovative research through the creation of engaging experiences

• Served as the front-end developer for IQ Design using HTML, CSS, Javascript

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