CNSiddhant Borkar

Full Stack Developer | Chapel Hill, NC

siddhant.borkar4@gmail.com

About

Aspiring leetcode demon 😈 .

LeetCode Progress

Live
150problems solved
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Highlights

Carolina Data Challenge: 🏆 1st Place Pop Culture Track

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ASA Duke DataFest: 🏆 1st Place Overall Best Project + Best Statistical Analysis

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Professional Experience

Software Engineer InternFidelity InvestmentsSummer 2025
Fidelity Logo
  • FIT TAX team remodeling TAX Web Services
AWSJavaSpringboot
Software Engineer InternCrispy AISummer 2024
Crispy AI Logo
  • Web-scraped food catalog data with BeautifulSoup gathering 3.1 million dish options across NYC restaurants for custom adjacency and deep search leading to direct increase in pre-seed round funding by $10,000
  • Implemented core scroll-search feature using Swift and Objective-C resulting in iOS publication with 50+ users
  • Manipulated Kaggle data using Tableau identifying user retention factors to propose new in-app social media posting functionality later made using Swift and increasing community interactivity by 400%
SwiftSwiftUIObjective-CTableauPythonBeautifulSoup
Machine Learning ResearcherUNC WilmingtonSummer 2022
UNC Wilmington Logo
  • Published AFib detection research by implementing novel entropy and volatility features into ML models
  • Used Python and Scikit-learn to increase specificity by 27% and maintain accuracies for all models above 90%
  • Developed React web application for live AFib diagnosis with 5% greater accuracy than industry standard
PythonNumpyPandasScikit-learnReact

Featured Projects

HeelShack
HeelShack Screenshot

A modern, student-focused housing rental platform for UNC Chapel Hill. Features secure user authentication, dynamic listing management (post, view, edit, delete), real-time chat, listing persistence, and advanced search/filtering.

Technical Skills:

TypeScriptNext.jsShadcn UITailwindSupabase
Internship Notifier

Under development 👀

CourseKata Analysis: Discrepancies in Chapter Difficulty and Outcome

Our project analyzed student engagement and performance in CourseKata to address chapter difficulty discrepancies. Utilizing Python and Pandas, we identified challenging chapters (low EOC scores despite high engagement) and quantified difficulty with a novel 'score engagement differential' (SED) and 'relative difficulty metric' (RDM). Findings indicated strong statistical significance (p=0.028, r=0.549) and a positive correlation between engagement and performance. We recommend dynamically adjusting question difficulty and restructuring chapters 2 and 3 based on our RDM, supported by research on AI-driven personalization.

Technical Skills:

PythonPandasData AnalysisHypothesis TestingStatistical Modeling
CSXL Practice Test Generation
CSXL Logo

Developed a Practice Test Generation feature for CSXL, enabling users to upload study resources and generate custom practice tests using OpenAI API. Implemented backend API routes (PostgreSQL, SQLAlchemy) and a modular Angular frontend for a smooth user experience.

Technical Skills:

AngularTypeScriptPythonFastAPISQL
HeelShack
HeelShack Screenshot

A modern, student-focused housing rental platform for UNC Chapel Hill. Features secure user authentication, dynamic listing management (post, view, edit, delete), real-time chat, listing persistence, and advanced search/filtering.

Technical Skills:

TypeScriptNext.jsShadcn UITailwindSupabase
Internship Notifier

Under development 👀

CourseKata Analysis: Discrepancies in Chapter Difficulty and Outcome

Our project analyzed student engagement and performance in CourseKata to address chapter difficulty discrepancies. Utilizing Python and Pandas, we identified challenging chapters (low EOC scores despite high engagement) and quantified difficulty with a novel 'score engagement differential' (SED) and 'relative difficulty metric' (RDM). Findings indicated strong statistical significance (p=0.028, r=0.549) and a positive correlation between engagement and performance. We recommend dynamically adjusting question difficulty and restructuring chapters 2 and 3 based on our RDM, supported by research on AI-driven personalization.

Technical Skills:

PythonPandasData AnalysisHypothesis TestingStatistical Modeling
CSXL Practice Test Generation
CSXL Logo

Developed a Practice Test Generation feature for CSXL, enabling users to upload study resources and generate custom practice tests using OpenAI API. Implemented backend API routes (PostgreSQL, SQLAlchemy) and a modular Angular frontend for a smooth user experience.

Technical Skills:

AngularTypeScriptPythonFastAPISQL
HeelShack
HeelShack Screenshot

A modern, student-focused housing rental platform for UNC Chapel Hill. Features secure user authentication, dynamic listing management (post, view, edit, delete), real-time chat, listing persistence, and advanced search/filtering.

Technical Skills:

TypeScriptNext.jsShadcn UITailwindSupabase
Internship Notifier

Under development 👀

Education

Research Triangle High School Logo
UNC Chapel Hill Logo
Honors Carolina Logo
Click me! 👆

Additional Experiences

Project ManagerComputer Science + Social Good
CSSG Logo

Providing software solutions to non-profit organizations.

iOS DeveloperApp Team Carolina
App Team Carolina Logo

Developing consumer mobile applications.

© 2025 Siddhant Borkar. All rights reserved.