// about.init()
About Me
"I don't just write code — I build systems that think, adapt, and solve."
I'm Deepa M, a Software Engineer and BCA student at Vels University (CGPA: 9.3/10), passionate about building AI-powered applications that solve real-world problems with precision and purpose.
My journey started in a Commerce classroom — where logic, numbers, and analytical thinking shaped how I see the world (95.8% overall, with a centum in Accounts & Commerce). That foundation followed me into software engineering, where I now combine full-stack development and machine learning to build systems that are not just functional — but intelligent.
I work across the full stack — from training ML models with Python, Scikit-learn, and XGBoost, to building backends with Flask and Spring Boot, to crafting clean frontends with React and JavaScript. My projects include HireAI (an AI recruitment intelligence system), UrbanFlow AI (a traffic prediction platform), and a Smart Observability Platform — each built end-to-end and portfolio-ready.
Beyond engineering, I'm also a poet and visual artist. Creativity isn't separate from how I code — it shapes how I design, communicate, and think through problems.
I'm currently open to SWE and ML Engineer opportunities where I can build, learn, and grow alongside driven teams. Let's build something impactful. 🚀
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Skills
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LeetCode & Achievements
- Solved 50+ LeetCode problems, strengthening core algorithmic thinking and coding proficiency.
- Awarded 4 academic honors for scoring centum in Commerce & Accounts (12th) and Economics & Accounts (11th).
- Ranked 1st in 12th grade, recognized with a prestigious school excellence award.
- Secured 3rd position in 1st-year BCA, earning a merit scholarship for academic distinction.
- Compered multiple school events, demonstrating strong communication, stage presence, and leadership.
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Projects
Hire AI
An intelligent recruitment web application that predicts candidate selection chances using machine learning. Built with Flask and XGBoost, it analyzes applicant details and surfaces hiring predictions through an interactive dashboard.
Smart Observability & API Monitoring Platform
A real-time backend monitoring system that collects API logs, analyzes system performance, and generates live analytics dashboards — visualizing traffic trends and simulating server activity with automated monitoring insights.
UrbanFlow AI
A full-stack AI-powered traffic intelligence system using linear regression and K-means clustering to predict congestion and analyze urban traffic patterns, with an interactive dashboard for real-time predictions. Achieved an R² score of 0.969 for congestion prediction accuracy.
Student Management System
A CRUD-based web application for managing student records — adding, updating, viewing, and deleting student details.
Notes App
A full-stack application to create, edit, and manage notes efficiently.
To-Do List App
A React.js task management application that lets users add, mark complete, and delete tasks.
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