{"name":"Resume profile with this information : Education\nCarnegie Mellon University Pittsburgh, PA\nB.S. in Mathematics, Minor in Computer Science Expected May 2025\n• GPA: 3.97/4.0\n• Relevant Coursework: Distributed Systems, Computer Systems, Data Structures and Algorithms, Web\nApplication Development, API Design and Implementation, Engineering Data Intensive Scalable Systems, Computer\nSecurity, Machine Learning\nWork Experience\nResearch Assistant CMU Human Computer Interaction Institute Sep. 2024 – Present\nPittsburgh, PA\n• Designed logistic regression models with customized loss functions in TensorFlow to mitigate algorithmic bias in\neducational datasets\n• Improved fairness metrics (ABROCA scores) by 15%, directly reducing disparities in predictive outcomes for\nunderrepresented groups\nSoftware Engineering Intern May 2024 – Aug. 2024\nNokia Sunnyvale, CA\n• Automated network testing workflows with Python and Tcl scripts, streamlining the Network Infrastructure team’s\ntransition to a new simulation system\n• Diagnosed and resolved compatibility issues with MPLS and TCP protocols in a system used by 100+ engineers,\nimproving system reliability and enabling seamless integration with new network configurations\nSoftware Engineering Intern May 2023 – Aug. 2023\nLockheed Martin Space Littleton, CO\n• Built a signal processing system in Python and MATLAB to isolate satellite signals from background noise, using\nclustering to improve signal differentiation\n• Defined performance metrics to measure algorithm accuracy in signal differentiation, achieving a 95% accuracy rate\nacross signal types, enhancing reliability for navigation and communication applications\nPeer Tutor CMU Student Academic Success Center Aug. 2022 – Present\nPittsburgh, PA\n• Tutored over 250 students in Functional Programming and Data Structures & Algorithms, providing personalized\nguidance and adapting teaching methods based on individual learning goals\nProject Experience\nMini Social Platform Spring 2025\n• Currently building a nano-blogging web application with user authentication, profile management, and real-time\ninteractions using Django, SQLite, AJAX, and HTML/CSS\n• Implementing secure login/logout functionality and designing dynamic UI components for real-time updates via\nAJAX without full-page reloads\nRaft Protocol Fall 2024\n• Implemented the Raft consensus protocol in Go to enable fault-tolerant distributed state replication, ensuring data\nconsistency and system reliability across a network of nodes\n• Designed and optimized leader election, log replication, and safety mechanisms to ensure high availability, fault\ntolerance, and data integrity in a distributed environment\nCourse Scheduling Optimization Fall 2023\n• Built a linear programming model using Gurobi to efficiently allocate college courses, taking into account course\nhours, prerequisites, and student preferences to minimize student workload across a large set of courses\n• Improved runtime efficiency by implementing Python-based heuristics, reducing model execution time from 24 hours\nto 30 minutes\nSkills\nProgramming Languages: Go, Python, C, HTML/CSS, JavaScript, R, Standard ML, SQL\nTools: Git, GitHub, VS Code, RStudio, Unix/Linux, Docker, Kubernetes\nLibraries/Frameworks: pandas, NumPy, PyTorch, TensorFlow, Djang","short_name":"Resume profile with this information : Education\nCarnegie Mellon University Pittsburgh, PA\nB.S. in Mathematics, Minor in Computer Science Expected May 2025\n• GPA: 3.97/4.0\n• Relevant Coursework: Distributed Systems, Computer Systems, Data Structures and Algorithms, Web\nApplication Development, API Design and Implementation, Engineering Data Intensive Scalable Systems, Computer\nSecurity, Machine Learning\nWork Experience\nResearch Assistant CMU Human Computer Interaction Institute Sep. 2024 – Present\nPittsburgh, PA\n• Designed logistic regression models with customized loss functions in TensorFlow to mitigate algorithmic bias in\neducational datasets\n• Improved fairness metrics (ABROCA scores) by 15%, directly reducing disparities in predictive outcomes for\nunderrepresented groups\nSoftware Engineering Intern May 2024 – Aug. 2024\nNokia Sunnyvale, CA\n• Automated network testing workflows with Python and Tcl scripts, streamlining the Network Infrastructure team’s\ntransition to a new simulation system\n• Diagnosed and resolved compatibility issues with MPLS and TCP protocols in a system used by 100+ engineers,\nimproving system reliability and enabling seamless integration with new network configurations\nSoftware Engineering Intern May 2023 – Aug. 2023\nLockheed Martin Space Littleton, CO\n• Built a signal processing system in Python and MATLAB to isolate satellite signals from background noise, using\nclustering to improve signal differentiation\n• Defined performance metrics to measure algorithm accuracy in signal differentiation, achieving a 95% accuracy rate\nacross signal types, enhancing reliability for navigation and communication applications\nPeer Tutor CMU Student Academic Success Center Aug. 2022 – Present\nPittsburgh, PA\n• Tutored over 250 students in Functional Programming and Data Structures & Algorithms, providing personalized\nguidance and adapting teaching methods based on individual learning goals\nProject Experience\nMini Social Platform Spring 2025\n• Currently building a nano-blogging web application with user authentication, profile management, and real-time\ninteractions using Django, SQLite, AJAX, and HTML/CSS\n• Implementing secure login/logout functionality and designing dynamic UI components for real-time updates via\nAJAX without full-page reloads\nRaft Protocol Fall 2024\n• Implemented the Raft consensus protocol in Go to enable fault-tolerant distributed state replication, ensuring data\nconsistency and system reliability across a network of nodes\n• Designed and optimized leader election, log replication, and safety mechanisms to ensure high availability, fault\ntolerance, and data integrity in a distributed environment\nCourse Scheduling Optimization Fall 2023\n• Built a linear programming model using Gurobi to efficiently allocate college courses, taking into account course\nhours, prerequisites, and student preferences to minimize student workload across a large set of courses\n• Improved runtime efficiency by implementing Python-based heuristics, reducing model execution time from 24 hours\nto 30 minutes\nSkills\nProgramming Languages: Go, Python, C, HTML/CSS, JavaScript, R, Standard ML, SQL\nTools: Git, GitHub, VS Code, RStudio, Unix/Linux, Docker, Kubernetes\nLibraries/Frameworks: pandas, NumPy, PyTorch, TensorFlow, Djang","description":"Resume profile with this information : Education\nCarnegie Mellon University Pittsburgh, PA\nB.S. in Mathematics, Minor in Computer Science Expected May 2025\n• GPA: 3.97/4.0\n• Relevant Coursework: Distributed Systems, Computer Systems, Data Structures and Algorithms, Web\nApplication Development, API Design and Implementation, Engineering Data Intensive Scalable Systems, Computer\nSecurity, Machine Learning\nWork Experience\nResearch Assistant CMU Human Computer Interaction Institute Sep. 2024 – Present\nPittsburgh, PA\n• Designed logistic regression models with customized loss functions in TensorFlow to mitigate algorithmic bias in\neducational datasets\n• Improved fairness metrics (ABROCA scores) by 15%, directly reducing disparities in predictive outcomes for\nunderrepresented groups\nSoftware Engineering Intern May 2024 – Aug. 2024\nNokia Sunnyvale, CA\n• Automated network testing workflows with Python and Tcl scripts, streamlining the Network Infrastructure team’s\ntransition to a new simulation system\n• Diagnosed and resolved compatibility issues with MPLS and TCP protocols in a system used by 100+ engineers,\nimproving system reliability and enabling seamless integration with new network configurations\nSoftware Engineering Intern May 2023 – Aug. 2023\nLockheed Martin Space Littleton, CO\n• Built a signal processing system in Python and MATLAB to isolate satellite signals from background noise, using\nclustering to improve signal differentiation\n• Defined performance metrics to measure algorithm accuracy in signal differentiation, achieving a 95% accuracy rate\nacross signal types, enhancing reliability for navigation and communication applications\nPeer Tutor CMU Student Academic Success Center Aug. 2022 – Present\nPittsburgh, PA\n• Tutored over 250 students in Functional Programming and Data Structures & Algorithms, providing personalized\nguidance and adapting teaching methods based on individual learning goals\nProject Experience\nMini Social Platform Spring 2025\n• Currently building a nano-blogging web application with user authentication, profile management, and real-time\ninteractions using Django, SQLite, AJAX, and HTML/CSS\n• Implementing secure login/logout functionality and designing dynamic UI components for real-time updates via\nAJAX without full-page reloads\nRaft Protocol Fall 2024\n• Implemented the Raft consensus protocol in Go to enable fault-tolerant distributed state replication, ensuring data\nconsistency and system reliability across a network of nodes\n• Designed and optimized leader election, log replication, and safety mechanisms to ensure high availability, fault\ntolerance, and data integrity in a distributed environment\nCourse Scheduling Optimization Fall 2023\n• Built a linear programming model using Gurobi to efficiently allocate college courses, taking into account course\nhours, prerequisites, and student preferences to minimize student workload across a large set of courses\n• Improved runtime efficiency by implementing Python-based heuristics, reducing model execution time from 24 hours\nto 30 minutes\nSkills\nProgramming Languages: Go, Python, C, HTML/CSS, JavaScript, R, Standard ML, SQL\nTools: Git, GitHub, VS Code, RStudio, Unix/Linux, Docker, Kubernetes\nLibraries/Frameworks: pandas, NumPy, PyTorch, TensorFlow, Djang","start_url":"/s/107460?addToHomeScreen","display":"standalone","background_color":"#ffffff","theme_color":"#ffffff","icons":[{"src":"https://s.asim.sh/icon-pwa.png","sizes":"192x192","type":"image/png"},{"src":"https://s.asim.sh/icon-pwa.png","sizes":"512x512","type":"image/png"}]}