Alex
I am a first-generation college student studying computer science and mathematics at Cornell, specializing in machine learning and software engineering.
In my free time, I enjoy working on personal projects, working out, and reading.
Welcome to my website!
Education
Bachelor of Arts, Honors - Cornell University
Double Major: Computer Science & Mathematics
High School Diploma - Central Bucks High School South
STEM FocusExperience
Salesforce- Software Engineer Intern
- Develop custom virtual formula field functionality in Salesforce Data Cloud, empowering customers to create dynamic data transformations without code and enabling self-service analytics capabilities.
- Build scalable backend services using Java and Apache Spark for formula computations on distributed metadata services, enabling processing that scales automatically with customer data volume.
- Implement REST API endpoints with robust error handling and validation, providing developers with reliable programmatic access to formula field operations and reducing integration complexity.
- Create intuitive React and TypeScript frontend interface that simplifies virtual formula field creation and data exploration, dramatically improving user experience and accelerating customer onboarding.
Salesforce- Software Engineer Intern
May 2025 - Aug 2025- Develop custom virtual formula field functionality in Salesforce Data Cloud, empowering customers to create dynamic data transformations without code and enabling self-service analytics capabilities.
- Build scalable backend services using Java and Apache Spark for formula computations on distributed metadata services, enabling processing that scales automatically with customer data volume.
- Implement REST API endpoints with robust error handling and validation, providing developers with reliable programmatic access to formula field operations and reducing integration complexity.
- Create intuitive React and TypeScript frontend interface that simplifies virtual formula field creation and data exploration, dramatically improving user experience and accelerating customer onboarding.
CMSX- Frontend Team Lead, Vice President, Fullstack Engineer
- Maintain Cornell's course management system, used by 10,000+ students in 100,000+ line codebase.
- Lead frontend team by designing project architectures, reviewing PRs, and interviewing candidates.
- Architected and built the student-facing frontend in React/TS, implementing a component architecture and state management to reduce loading times by 90% from the previous implementation.
- Implemented APIs with serializable data structures, enabling secure communication between frontend and backend while improving developer velocity through enhanced code modularity and reusability.
- Implemented the project team website to showcase team members, projects, and achievements.
CMSX- Frontend Team Lead, Vice President, Fullstack Engineer
Aug 2023 – Present- Maintain Cornell's course management system, used by 10,000+ students in 100,000+ line codebase.
- Lead frontend team by designing project architectures, reviewing PRs, and interviewing candidates.
- Architected and built the student-facing frontend in React/TS, implementing a component architecture and state management to reduce loading times by 90% from the previous implementation.
- Implemented APIs with serializable data structures, enabling secure communication between frontend and backend while improving developer velocity through enhanced code modularity and reusability.
- Implemented the project team website to showcase team members, projects, and achievements.
Cornell Generative AI- Artificial Intelligence/Machine Learning Engineer
- Developed AI agent for QuickFi, a commercial lending technology company, automating insurance certificate validation and compliance verification processes, reducing operational costs.
- Built frontend and vector database for ClassGPT, enabling professors to create AI tutors for classes.
Cornell Generative AI- Artificial Intelligence/Machine Learning Engineer
Jan 2025 - Present- Developed AI agent for QuickFi, a commercial lending technology company, automating insurance certificate validation and compliance verification processes, reducing operational costs.
- Built frontend and vector database for ClassGPT, enabling professors to create AI tutors for classes.
Carnegie Mellon University- Software Engineer and Research Intern
- Worked on the interpreter for SASyLF, a language for writing proofs, implementing core features in Java.
- Implemented a polymorphic type system for SASyLF, similar to Java generics, enabling type-safe code reuse and significantly reducing duplication in proofs by allowing abstraction over multiple data types.
- Created a modular testing framework using Python to automate integration tests, ensuring reliability.
Carnegie Mellon University- Software Engineer and Research Intern
May 2024 - August 2024- Worked on the interpreter for SASyLF, a language for writing proofs, implementing core features in Java.
- Implemented a polymorphic type system for SASyLF, similar to Java generics, enabling type-safe code reuse and significantly reducing duplication in proofs by allowing abstraction over multiple data types.
- Created a modular testing framework using Python to automate integration tests, ensuring reliability.
Cornell Bowers CIS- Teaching Assistant
- Topics Covered: Clustering algorithms, PCA, MLE/MAP, regression, optimization algorithms, SVM, kernelization, ERM, decision trees, ensemble methods, neural networks, CNNs, generative AI, and AI ethics.
- Held office hours helping students with homework assignments and programming projects, graded assignments and exams, and proctored exams.
- Topics Covered: Greedy algorithms, dynamic programming, network flow, divide and conquer algorithms, NP hardness, approximation algorithms, computability, and cryptography.
- Held office hours helping students with homework assignments and programming projects, graded assignments and exams, and proctored exams.
- Topics Covered: OCaml programming, polymorphism, models of evaluation, functors, mutability, logic, concurrency, data structures, lambda calculus.
- Awarded the CS course staff award for outstanding service to students.
- Held office hours helping students with homework assignments and programming projects, lead weekly recitations, graded assignments and exams, and proctored exams.
Cornell Bowers CIS- Teaching Assistant
- Topics Covered: Clustering algorithms, PCA, MLE/MAP, regression, optimization algorithms, SVM, kernelization, ERM, decision trees, ensemble methods, neural networks, CNNs, generative AI, and AI ethics.
- Held office hours helping students with homework assignments and programming projects, graded assignments and exams, and proctored exams.
- Topics Covered: Greedy algorithms, dynamic programming, network flow, divide and conquer algorithms, NP hardness, approximation algorithms, computability, and cryptography.
- Held office hours helping students with homework assignments and programming projects, graded assignments and exams, and proctored exams.
- Topics Covered: OCaml programming, polymorphism, models of evaluation, functors, mutability, logic, concurrency, data structures, lambda calculus.
- Awarded the CS course staff award for outstanding service to students.
- Held office hours helping students with homework assignments and programming projects, lead weekly recitations, graded assignments and exams, and proctored exams.
Projects
Primarily independent work, done in my own time.
ML/AI Projects
C-Torch - Artificial Intelligence/Machine Learning Library
C++
High-performance math library supporting numerical methods, calculus, and linear algebra. Includes 15+ ML models and RL agents.
C-Torch - Artificial Intelligence/Machine Learning Library
C++
High-performance math library supporting numerical methods, calculus, and linear algebra. Includes 15+ ML models and RL agents.
Visual Attention Image Captioning - Show, Attend, Tell Implementation
PyTorch, Python
A deep learning model that automatically generates descriptive captions for images using visual attention. Implements the Show, Attend, Tell architecture and achieves superior METEOR scores.
Visual Attention Image Captioning - Show, Attend, Tell Implementation
PyTorch, Python
A deep learning model that automatically generates descriptive captions for images using visual attention. Implements the Show, Attend, Tell architecture and achieves superior METEOR scores.
CoinBot - Reinforcement Learning 2D Navigation Bot
Python, PyTorch, NumPy, Matplotlib
A reinforcement learning agent that navigates a 2D world using Q-learning and Deep Q-Networks (DQN). CoinBot learns optimal movement strategies through trial and error, demonstrating core RL concepts with real-time learning visualizations.
CoinBot - Reinforcement Learning 2D Navigation Bot
Python, PyTorch, NumPy, Matplotlib
A reinforcement learning agent that navigates a 2D world using Q-learning and Deep Q-Networks (DQN). CoinBot learns optimal movement strategies through trial and error, demonstrating core RL concepts with real-time learning visualizations.
Snake DQN - AI Snake Game Agent
Python, PyTorch, NumPy, Matplotlib
A Deep Q-Network (DQN) reinforcement learning implementation for the classic Snake game. Features an AI agent that learns optimal strategies through 29-dimensional state representation, intelligent reward functions, and anti-looping mechanisms. The agent achieves scores of 20-40+ points through sophisticated spatial reasoning and strategic planning.
Snake DQN - AI Snake Game Agent
Python, PyTorch, NumPy, Matplotlib
A Deep Q-Network (DQN) reinforcement learning implementation for the classic Snake game. Features an AI agent that learns optimal strategies through 29-dimensional state representation, intelligent reward functions, and anti-looping mechanisms. The agent achieves scores of 20-40+ points through sophisticated spatial reasoning and strategic planning.
BanditBot - Multi-Armed Bandit Algorithm Library
Python, NumPy, Matplotlib
A comprehensive library for simulating and benchmarking Multi-Armed Bandit (MAB) algorithms, including Epsilon-Greedy, UCB, Thompson Sampling, neural network-based contextual bandits, and more. Designed for research, teaching, and practical experimentation.
BanditBot - Multi-Armed Bandit Algorithm Library
Python, NumPy, Matplotlib
A comprehensive library for simulating and benchmarking Multi-Armed Bandit (MAB) algorithms, including Epsilon-Greedy, UCB, Thompson Sampling, neural network-based contextual bandits, and more. Designed for research, teaching, and practical experimentation.
CourseSphere - LLM-powered course recommendation system
TypeScript, Python, Jupyter Notebook, SCSS, Pinecone
AI-powered assistant for Cornell students that matches users to courses and professors based on their academic interests, backgrounds, and goals. Aggregates course and professor data for quick, informed decisions.
CourseSphere - LLM-powered course recommendation system
TypeScript, Python, Jupyter Notebook, SCSS, Pinecone
AI-powered assistant for Cornell students that matches users to courses and professors based on their academic interests, backgrounds, and goals. Aggregates course and professor data for quick, informed decisions.
Software Engineering Projects
LambdaScript - Custom Programming Language
TypeScript, OCaml, Jest, OUnit
Custom functional programming language with a performant interpreter, type inference, and core language features.
LambdaScript - Custom Programming Language
TypeScript, OCaml, Jest, OUnit
Custom functional programming language with a performant interpreter, type inference, and core language features.
TriageForce - AI-Powered Disaster Relief Platform
Salesforce Agentforce, Salesforce Data Cloud, Salesforce Service Cloud
Automated disaster relief resource allocation via Agentic AI and Salesforce Agentforce, drastically cutting waste and achieving real-time response.
TriageForce - AI-Powered Disaster Relief Platform
Salesforce Agentforce, Salesforce Data Cloud, Salesforce Service Cloud
Automated disaster relief resource allocation via Agentic AI and Salesforce Agentforce, drastically cutting waste and achieving real-time response.
HabitStack - Habit Tracking Application
React, TypeScript, JavaScript, SASS, Express.js, Firebase, Vite
Full-stack habit tracking application with OAuth2, monthly calendar interface, and real-time goal management.
HabitStack - Habit Tracking Application
React, TypeScript, JavaScript, SASS, Express.js, Firebase, Vite
Full-stack habit tracking application with OAuth2, monthly calendar interface, and real-time goal management.
CritterWorld - Evolving Artificial Life Simulator
Java, JavaFX, SceneBuilder, Gradle, JUnit
Evolving artificial life simulator with JavaFX GUI and custom programming language for organism behavior.
CritterWorld - Evolving Artificial Life Simulator
Java, JavaFX, SceneBuilder, Gradle, JUnit
Evolving artificial life simulator with JavaFX GUI and custom programming language for organism behavior.
AlgoSandbox - Interactive Algorithm Visualizer
React, TypeScript, Vite, CSS, JavaScript, Netlify
Interactive platform for visualizing and experimenting with classic algorithms and data structures. Designed for students, educators, and developers to learn and teach algorithms in an engaging way.
AlgoSandbox - Interactive Algorithm Visualizer
React, TypeScript, Vite, CSS, JavaScript, Netlify
Interactive platform for visualizing and experimenting with classic algorithms and data structures. Designed for students, educators, and developers to learn and teach algorithms in an engaging way.
