
Resume profile with this information : Education
Carnegie Mellon University Pittsburgh, PA
B.S. in Mathematics, Minor in Computer Science Expected May 2025
• GPA: 3.97/4.0
• Relevant Coursework: Distributed Systems, Computer Systems, Data Structures and Algorithms, Web
Application Development, API Design and Implementation, Engineering Data Intensive Scalable Systems, Computer
Security, Machine Learning
Work Experience
Research Assistant CMU Human Computer Interaction Institute Sep. 2024 – Present
Pittsburgh, PA
• Designed logistic regression models with customized loss functions in TensorFlow to mitigate algorithmic bias in
educational datasets
• Improved fairness metrics (ABROCA scores) by 15%, directly reducing disparities in predictive outcomes for
underrepresented groups
Software Engineering Intern May 2024 – Aug. 2024
Nokia Sunnyvale, CA
• Automated network testing workflows with Python and Tcl scripts, streamlining the Network Infrastructure team’s
transition to a new simulation system
• Diagnosed and resolved compatibility issues with MPLS and TCP protocols in a system used by 100+ engineers,
improving system reliability and enabling seamless integration with new network configurations
Software Engineering Intern May 2023 – Aug. 2023
Lockheed Martin Space Littleton, CO
• Built a signal processing system in Python and MATLAB to isolate satellite signals from background noise, using
clustering to improve signal differentiation
• Defined performance metrics to measure algorithm accuracy in signal differentiation, achieving a 95% accuracy rate
across signal types, enhancing reliability for navigation and communication applications
Peer Tutor CMU Student Academic Success Center Aug. 2022 – Present
Pittsburgh, PA
• Tutored over 250 students in Functional Programming and Data Structures & Algorithms, providing personalized
guidance and adapting teaching methods based on individual learning goals
Project Experience
Mini Social Platform Spring 2025
• Currently building a nano-blogging web application with user authentication, profile management, and real-time
interactions using Django, SQLite, AJAX, and HTML/CSS
• Implementing secure login/logout functionality and designing dynamic UI components for real-time updates via
AJAX without full-page reloads
Raft Protocol Fall 2024
• Implemented the Raft consensus protocol in Go to enable fault-tolerant distributed state replication, ensuring data
consistency and system reliability across a network of nodes
• Designed and optimized leader election, log replication, and safety mechanisms to ensure high availability, fault
tolerance, and data integrity in a distributed environment
Course Scheduling Optimization Fall 2023
• Built a linear programming model using Gurobi to efficiently allocate college courses, taking into account course
hours, prerequisites, and student preferences to minimize student workload across a large set of courses
• Improved runtime efficiency by implementing Python-based heuristics, reducing model execution time from 24 hours
to 30 minutes
Skills
Programming Languages: Go, Python, C, HTML/CSS, JavaScript, R, Standard ML, SQL
Tools: Git, GitHub, VS Code, RStudio, Unix/Linux, Docker, Kubernetes
Libraries/Frameworks: pandas, NumPy, PyTorch, TensorFlow, Djang