More of my credentials.

Cornell University

Analysis of Algorithms (CS 4820), Data Structures & Functional Programming (CS 3110), Introduction to Machine Learning (CS 3780), Computer System Organization and Programming (CS 3410), Data Structures & Object-Oriented Programming (CS 2110), Discrete Mathematics (CS 2800), Foundations of AI (CS 3700), Introduction to iOS App Development (CS 1998)

North Carolina School of Science and Math

Relevant Courses: Procedural and Object-Oriented Programming, Multivariable Calculus, Differential Equations, Physics: Mechanics and E&M, Intro to Robotics, Foundations in Data Science, Digital Humanities, Computer Vision, Graph Theory

Amazon

• Designed and developed a full-stack Console to provide users an end-to-end solution for querying and editing report data based on authorized user roles, streamlining their daily tasks.
• Designed a 2PR workflow to edit data using RESTful APIs, AWS Lambda, SNS, DynamoDB, and OpenSearch. Created front-end using Katal UI, AWS S3, CloudFront, and Route53, serving data through API Gateway.

Echo3D

• Used SwiftUI, Echo3D’s SDK, and Xcode to create a demo iOS AR/VR application for trying on 3D dresses using a real-time camera.
• Designed and built features on website to make 3D asset management experience more seamless using HTML, CSS, and JavaScript, leading to 23% more engagement on the website.

MIT Beaver Works: Medlytics Program

• Gained exposure to Data Science libraries such as Numpy, Pandas, MatplotLib, Seaborn, SciKit Learn, and Tensorflow. Implemented these libraries to learn and train ML models such as SVM, Decision Trees, KNN, CNN, VCG16, etc. in order to classify images, text, and audio.
• Designed and developed a ML model using VCG16 in order to detect Dyslexia in user-inputted handwriting images for final project. Earned the Best Team Initiative award and received a validation accuracy of 89.4%.

Gene Therapy Center - Li Lab

• Worked under Ellie Frost and Dr. Chengwen Li. Researched how to treat Hemophilia-A by measuring the levels of Factor-VIII expression of 7 differently altered Factor-VIII genes which transducted in mice cells using Adeno Associated Viral (AAV) capsids.
• Learned various lab techniques such as gel electrophoresis, cloning cells, and research report writing.

Cornell Nexus Project Team

• Developed an object detection and avoidance model for the robot in Python using YOLOv8 and DepthAI tested on real-time images from RGB-D camera connected to Raspberry pi. Using ROS (Robot Operating System) and RViz to simulate the robot’s path planning and GPS tracking in order to efficiently collect microplastics.

Cornell Tech Consulting

• Designed and built end-to-end scheduling website for small business HTML, CSS, JavaScript, and Figma. Delivered strategy and market-sizing recommendations to drive client growth. Learnt and presented different casing techniques such as Market Sizing, Market Entry, Profit Optimization.

Kappa Theta Pi - Professional Co-Ed Fraternity

• Leading weekly educational sessions for new members, covering topics in Tech Consulting, Data Science, Machine Learning, and Software Engineering (both Frontend and Backend). Designed and facilitated workshops on professional development and technical skills, including Git/GitHub, LeetCode Prep, and Recruitment Strategy.

Cornell Data Journal

• Conducted sentiment analysis on Cornell professor reviews using NLP and Chatbot APIs to evaluate general sentiment and trends across departments. Developed a data pipeline leveraging Web-Scraping tools (BeautifulSoup and Selenium) to collect and preprocess reviews on RateMyProfessor and CUReviews.

Cornell Math Department

• Hold weekly workshops, make worksheets, and provide mentorship for support and practice for the course Calculus for Engineers (Math 1910), assisting students with topics including Trignometric substitution, Volumes by Revolution, Work/Energy, Fluid Pressure, and Improper Integrals.

NCSSM Summer Research in Math

• Led a 3 person team to write an extensive proof-supported solution to 2 complex Graph Theory and algebra-related problems from MAA’s (Mathematical Association of America) ‘The American Math Monthly (AMM)’ magazine.
• Successfully got our proof published in ‘The American Math Monthly’ magazine. Awards: NC Science and Engineering Fair Region 3B Data Science (3rd Place)

Technology Student Association

• Data Science & Analytics (2022): Analyzed the economic impacts of the Russian-Ukrainian War on the US economy, predicted its implications, and proposed economic and political solutions.
• Biotechnology Design: Designed a chemical filter to filter harmful cyanobacteria in oceans coupled with the idea of a solar-powered floating island.
• Awards: 1st in Engineering Design (2021), 2nd in Data Science (2022 & 2023), 3rd in Biotech Design (2022), 3rd in Children's Stories (2022), 3rd in Fashion Design (2022). 3rd in NCSAS Data Science & Mathematics (2022)

NCSSM Engineering Department

• Graded assignments, created course content, and provided support by conducting review sessions for Introduction to Robotics class. Streamlined and led one-on-one sessions to provide students with personalized learning.

NCSSM Fundraising Committee

• Emailed potential donors, reached out to alumni, and planned various events to fundraise for our residential high school. Successfully collected $50,000 in donations to help build educational opportunities for students.

NCSSM Natyam Dance Club

• Choreographed and taught a team of 20+ students Kathak, an Indian Classical Dance. Peformed at annual showcase.