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Candidate's Name
East Lansing, Michigan EMAIL AVAILABLE PHONE NUMBER AVAILABLE in/Candidate's Name -Street Address
EDUCATION
Bachelor of Science in Computer Science (Honors) | Michigan State University | East Lansing, MI | 2026 | GPA: 4.0
EXPERIENCE
Software Engineer Intern | Ed-Tech Start-Up Quanta | Remote | Jun 2024 - Sep 2024
Engineered an AI model for automatic math solution analysis, eliminating 97% of manual grading time.
Processed and analyzed 10,000+ real-world datasets using Pandas, NumPy, and SQL.
Fine-tuned GPT-3.5 using OpenAI API and PyTorch, increasing feedback accuracy by 75%, impacting 50,000+ students worldwide.
Undergraduate Researcher | University of Cambridge | Cambridge, UK | Jun 2024 - Jul 2024
Conducted in-depth research on advanced SAT algorithms, revealing novel optimization techniques for the Boolean satisfiability problem.
Developed a benchmarking tool using PySAT and NumPy, identifying a SAT solver with 12% better performance on k-CNF formulas.
Optimized a Monte Carlo algorithm by innovating variable modification strategies, resulting in a 15% increase in clause satisfaction.
Teaching Assistant, CSE 232 | Michigan State University | East Lansing, MI | Aug 2024 - Present
Hosted help room sessions and managed an online forum, providing support for over 500 students through effective communication.
Guided students through advanced C++ algorithms, Unix, and Git commands, improving understanding and performance by 20%.
Assisted the professor in preparing exams, ensuring the quality and alignment of 200+ problems with course material and objectives.
Software Engineer Intern | NeuraBlink | Hybrid | Sep 2022 - Aug 2023
Developed high-performance Java control software for robotics using WPILib, managing 40+ robotic components.
Built a WebSocket-based real-time data stream using Node.js, reducing control command delays by 50 milliseconds.
Created a live data monitoring interface using Next.js and React, enabling quick in-game adjustments.
PROJECTS
Spring Invitational Datathon | Citadel
Selected as one of 100 students from 4,000+ nationwide for the Citadel US Invitational Datathon, demonstrating advanced data science skills.
Formed a team of 4 to analyze fracking ecological impact, creating interactive geospatial maps with Matplotlib, Plotly and Folium.
Identified key risks, applied machine learning models using Scikit-learn and TensorFlow, and developed a plan reducing harm by 30%.
Google Hash Code | Google
Led a top-performing team of 3 in global Google Hash Code competition, optimizing C++ and Kotlin algorithms for complex engineering challenges.
Achieved 8x efficiency boost using advanced data structures and techniques including graph condensation, dynamic programming, and memoization.
Ranked among the top 0.1%, securing 112th place out of over 124,000 teams worldwide, showcasing elite problem-solving and coding skills.
DraughtMaster
Utilized HTML, CSS, and JavaScript to develop a user-friendly website with integrated checkers game logic, achieving a 95% user satisfaction rate.
Developed a Python-based opponent simulation using minimax with alpha-beta pruning, evaluating over 100,000 board positions per move.
Integrated a Flask backend with MongoDB for real-time data storage and retrieval, reducing data access time by 55%.
AWARDS AND ACHIEVEMENTS
Griffin Scholar | Citadel | 2023
Awarded a full scholarship for undergraduate studies by the Math and Science Achievement Fund, founded by Citadel founder and CEO Ken Griffin.
Participated in a four-day invitational Citadel conference in Warsaw, actively engaging in networking, workshops, and professional development.
Selections for the International Olympiad in Informatics | IOI | 2021
Earned a silver medal in the All-Ukrainian Olympiad in Informatics, solving 16 IOI-level problems against 20 elite students over four days.
Invited to organize future programming competitions for the Federation of Olympiad Programming, preparing problem sets and managing execution.
SKILLS
Languages: C++, Python, Java, TypeScript, JavaScript, HTML/CSS, Kotlin, C#, C, SQL
Frameworks: Next.js, React, Node.js, Flask, PyTorch, TensorFlow, Keras, Tailwind
Tools: AWS, Postgres, DynamoDB, MongoDB, Jira, Docker, Jupyter, MATLAB, LaTeX, Git, Unix
Concepts: Software Engineering, Backend, Frontend, Full Stack, Machine Learning, Agile Methodologies, Algorithms Development, Computer Vision
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