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Title Software Engineer
Target Location US-KS-Overland Park
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                                                Candidate's Name
   Lawrence, KS | PHONE NUMBER AVAILABLE | EMAIL AVAILABLE | LINKEDIN LINK AVAILABLE | github.com/tbarcusStreet Address

EDUCATION
University of Kansas                                                                                     Lawrence, KS
Major: Computer Science                                                                           Graduation: May Street Address
Courses: Data Structures & Algorithms, Software Engineering, Programming I/II, Operating Systems, Computer
Architecture, Discrete Structures, Theory of Computing, Database Systems, Embedded Systems, Programming Language
Paradigms, Calculus III

PROFESSIONAL EXPERIENCE
Software/Data Engineer Intern                                                                                      Leawood, KS
27Global                                                                                                   May 2024   Aug 2024
As a Software/Data Engineer Intern at 27Global, I was actively involved in client-facing projects, where I contributed to
delivering impactful data solutions while honing technical skills and understanding of industry practices.
  Created many new features that assisted with the validation, exclusion, filtering, and cleaning of over 100 million records of
   data, in order to prove and predict escheatable property.
  Optimized changes in different workflows that often improved run time from several hours to under 2 seconds.
  Leveraged tools such as Azure Databricks and PySpark to streamline data processing tasks, and handle large-scale data
   aggregation efficiently, resulting in significant improvements in performance and accuracy.
Sofware Engineer Intern                                                                                     Overland Park, KS
DevStride                                                                                                May 2023   July 2023
As a Software Engineering Intern at DevStride, I played a pivotal role in enhancing user experiences, contributing to product
growth, and shaping the company's software development strategy; all while gaining invaluable experience from my team.
  Spearheaded the implementation of a user-friendly onboarding process, resulting in an increase in trial-to-paid conversion
   rates in testing and a reduction in user churn, gaining a competitive edge.
  Documented new user experiences, providing valuable insights for product refinement and future enhancements.
Research Assistant                                                                                              Lawrence, KS
University of Kansas Information Technologies                                                              May 2023   Present
  Specialized in understanding software applications such as Digital Image Correlation by Dantec Dynamics and MTS
  software for actuator control, aiding in data collection and analysis.
  Led a data analysis project, processing over 100,000 rows of high-frequency data (collected every 0.1 seconds) to identify
  patterns and deliver actionable insights for the research team using Python and the Pandas library.

PROJECTS
MyLangAI                                                                                                   August 2023-Present
  Leading the development of MyLangAI, a web-based language learning platform that utilizes ChatGPT and LangChain
  framework integration along with prompt engineering to create interactive Spanish learning experiences.
  Implementing interfaces to aid users in real-time practice using Flask and HTML/CSS design, currently migrating to React.
  Designing and curating a diverse range of Spanish language content with 36 different learning customizations to cater to
  users of varying proficiency levels, enhancing their language skills effectively.
NFL Outcome Predictor                                                                                              January 2023
  Developed an NFL game outcome predictor, utilizing the Random Forest Model in the Scikit-Learn library in Python.
  Processed data from 6,528 NFL games since 2000 to build a robust dataset, extracting attributes to improve accuracy.

ADDITIONAL
PROGRAMMING LANGUAGES: Python, C#, C++, JavaScript, HTML/CSS, SQL, Haskell
FRAMEWORKS/LIBRARIES/TOOLS: Apache Spark, Pandas, Databricks, React, .NET, Flask, Django, Docker
LangChain, Scikit-Learn, Git, Jupyter, Azure Data Studio

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