Software Engineering Undergraduate
I design and build software across web, desktop, and data systems from full-stack apps to Java desktop tools and Python ML pipelines.
Get to know me
About Me
Hi, I'm Rithika Mandiv — a Software Engineering undergraduate who enjoys solving problems through software, from full-stack web apps and Java desktop systems to Python data projects.
I learn best by building real projects, and I'm constantly expanding my skills across frontend, backend, and data engineering.
• Software Engineering Undergraduate
• Experienced across web, desktop, and data domains
• Open to learning, projects, and opportunities
Education
BEng Software Engineering
Informatics Institute of Technology
University of Westminster
What I work with
My Skills
Frontend
Backend & Frameworks
Programming Languages
Databases
Tools
Testing
Data & Machine Learning
What I've built
Featured Projects
CodeGuardian AI
A GitHub-integrated static code analysis platform that connects repositories, runs ESLint and Semgrep through an asynchronous BullMQ pipeline, and provides AI-assisted explanations for individual findings.
2026
- • Built a modular monolith with a separate BullMQ analysis worker so long-running repository scans never block HTTP requests.
- • Integrated GitHub OAuth with AES-256-GCM encrypted token storage and Redis-backed server-side sessions.
- • Normalized ESLint and Semgrep output into a common finding representation, stored in PostgreSQL via Prisma.
- • Deliberately separated deterministic finding detection from AI explanation, using an AI provider only to explain findings that already exist.
Cyber Log Analyzer
A production-style cybersecurity log analysis platform with a React frontend, Node.js backend, and PostgreSQL database for uploading, parsing, and investigating security logs.
2026
- • Implemented JWT-based authentication for secure user sessions.
- • Built a file upload pipeline that parses raw log files and stores structured entries in PostgreSQL.
- • Designed a dashboard surfacing security alerts, threat summaries, and log statistics in real time.
- • Exposed a RESTful API for log ingestion, querying, and alert management.
BudgetWise
A full-stack personal finance management application with AI-powered budget forecasting, built using React, Node.js, PostgreSQL, and a Python FastAPI forecasting service.
2026
- • Built a React and TypeScript frontend for managing income, expenses, budgets, and financial categories.
- • Developed a Node.js and Express API layer for handling finance-related CRUD operations.
- • Used PostgreSQL for structured financial data storage.
- • Integrated a Python FastAPI microservice for budget forecasting and overspending prediction.
F1 Winner Prediction System
A Python machine-learning pipeline that predicts Formula 1 race winners using historical data collected via FastF1 across multiple seasons.
2026
- • Automated multi-season dataset generation using the FastF1 API for historical race data collection.
- • Engineered features from lap times, driver standings, and circuit characteristics using Pandas.
- • Trained and evaluated classification models with Scikit-learn, optimising for prediction accuracy.
- • Built an end-to-end prediction pipeline covering data ingestion, preprocessing, and inference.
CareNexus
A healthcare operations and insurance management system with a client-server architecture — a JavaFX desktop frontend, a Spring Boot REST API, and a PostgreSQL database — managing patients, doctors, appointments, medical records, insurance policies, and claims.
2026
- • Built a layered Spring Boot backend (controller → service → repository) exposing a REST API consumed by the JavaFX frontend.
- • Modeled six relational domains in PostgreSQL with Flyway-managed schema migrations and enforced referential integrity.
- • Implemented full appointment and insurance-claim lifecycles with strict validation and structured API error handling.
- • Covered the backend with 83 automated tests using JUnit 5, Mockito, and MockMvc, run automatically via GitHub Actions CI.
JobEngine
A distributed background job processing engine with a database-backed queue, built with a .NET worker service, an ASP.NET Core minimal API, and a React dashboard.
2026
- • Implemented atomic job claiming across concurrent workers using PostgreSQL's FOR UPDATE SKIP LOCKED, verified by an integration test.
- • Built exponential backoff with full jitter, dead-lettering, and stale claim recovery for workers that crash mid-job.
- • Designed a generic handler-registration system so new job types require no changes to the engine itself.
- • Covered the system with 73 automated tests, including integration tests run against real PostgreSQL via Testcontainers.
Expense Recorder
A full-stack web application for managing personal expenses with server-side rendering and real-time dynamic updates.
2026
- • Built RESTful CRUD endpoints with Express and SQLite for persistent storage.
- • Implemented AJAX-powered dynamic updates without full page reloads.
- • Rendered views server-side using EJS templates for fast initial loads.
Portfolio Website
This portfolio — a modern, animated single-page application featuring a particle-text name reveal, shuffle subtitle animation, responsive navigation, and project showcase.
2026
- • Built with Next.js and TypeScript for a performant, type-safe application structure.
- • Implemented an animated hero with particle-text name reveal and shuffle subtitle.
- • Used Framer Motion for scroll-triggered reveal animations across sections.
- • Deployed to Vercel with responsive layouts optimised for desktop, tablet, and mobile.
Education
Academic Background
BEng (Hons) Software Engineering
Informatics Institute of Technology (IIT), University of Westminster
Currently studying Software Engineering with a focus on programming, web development, databases, and software design principles.
2025 – Present
Foundation Certificate in Higher Education
Informatics Institute of Technology (IIT)
Completed foundation studies with Merit, covering computing fundamentals and introduction to programming.
Completed 2025
GCE Ordinary Level (O/L)
Mahinda Rajapakse College
Completed Ordinary Level education before progressing into higher education in software engineering.
2024
Achievements
Certifications & Awards
Web Development — Professional Certificate
Informatics Institute of Technology (IIT)
Achieved Distinction while learning core web development concepts including HTML, CSS, and JavaScript.
Distinction
Python Programming — Professional Certificate
Informatics Institute of Technology (IIT)
Gained a strong foundation in Python including logic building, functions, and problem-solving.
Completed
Machine Learning — Professional Certificate
Informatics Institute of Technology (IIT)
Gained a strong foundation in machine learning including regression, classification, clustering, neural networks, and MLOps fundamentals.
Completed