About Me

I’m Manavi, a UIUC undergrad in Computer Science & Mathematics who thrives on solving complex problems with elegant code. I’ve built real-time data tools using APIs, taught thousands of students as a Course Associate, and interned at Ernst & Young auditing massive datasets. My passion for algorithms and quantitative methods drives me to blend software engineering with mathematical rigor—whether I’m designing high-performance trading strategies or exploring Monte Carlo simulations in Numerical Methods. Outside of tech, I love mentoring peers, hacking at women‑focused events, and pushing my limits in both the classroom and beyond.

My Journey

  • 2023: Began CS & Math studies at UIUC
  • 2024: Designed a cloud-audit AI tool during a Headstarter fellowship, interned at Ernst and Young over the Summer. Course Associate for Computer Science I.
  • 2025: Course Associate for Data Structures & C++ and Undergraduate Research Assistant Fellow. Building alot of projects using the skillsets that interests me and solving real-world problems. Selected and attended the Women in Computer Science Summit by MongoDB.

Skills & Interests

  • Front-end: HTML5, CSS3, JavaScript, TypeScript, React, Vue.js, Next.js, Bootstrap, Tailwind CSS
  • Back-end: Node.js, Express, Python, Java, Go, Rust
  • Mobile & Desktop: React Native, Android (Java/Kotlin), iOS (Swift)
  • Databases: MySQL, PostgreSQL, MongoDB, Redis
  • Cloud & DevOps: AWS, Azure, Google Cloud Platforms(GCP), Docker, Kubernetes, CI/CD (Jenkins, GitHub Actions), Vercel
  • AI/ML & Data: TensorFlow, PyTorch, scikit-learn, NumPy, pandas, R, SAS, MATLAB, Jupyter Notebooks, CNNs, RNNs,MLOps
  • Tools & Platforms: Git, GitHub, GitLab, Linux/Unix, Kali Linux, VS Code, JIRA, Trello, Figma, Canva
  • APIs & Web: REST, GraphQL, WebSockets, Firebase, AWS Amplify
  • CS coursework: Algorithms & Data Structures, Applied Machine Learning, Database Systems, System Design, Computer Architecture, Computer Science 1-2
  • Mathematics: Linear Algebra, Calculus, Statistics, Numerical Methods, Real Analysis, Differential Equations