Software Developer • Mobile & Full-Stack

I build clean, scalable mobile & web experiences.

Versatile developer with hands-on experience in Flutter, Android (Java/XML), Python, Node.js, and Firebase. I love turning ideas into fast, reliable applications.

Flutter • Dart
Android (Java/XML)
Firebase • Firestore
Python • Node.js
Currently B.Sc. Computer Science
2023 – 2027 Trinity Western University
2020 – 2022 Diploma in Automation & Robotics
  • Strong focus on clean architecture & maintainable code.
  • Experience with real client projects & hackathon prototypes.
  • Comfortable with Agile workflows & Git-based collaboration.

About

Who I am

I enjoy turning complex workflows into intuitive apps, whether that’s a donation tracking system or a gamified housemate experience.

Developer Profile

I’m a Software Developer focused on building mobile and full-stack applications with solid engineering practices. I care about performance, reliability, and crafting user-focused interfaces backed by clean backend logic.

I’m especially interested in systems that replace manual processes, real-time features, and experiences that feel playful yet robust.

Core Skills

Flutter Dart Android • Java/XML Python Node.js Firebase • Firestore REST APIs Clean Architecture Debugging & Profiling Agile • Git UML & SDLC

Education

B.Sc. Computer Science 2023 – 2027

Trinity Western University – Langley, BC

Diploma in Automation & Robotic Engineering 2020 – 2022

Central Institution of Tool Design – Telangana, India

Experience

What I’ve worked on

App Development Intern

Verzeo (in association with Immensphere) • Remote, India

Jun 2022 – Jul 2022 Android • Java/XML
  • Developed and refined 10+ Android UI screens using Java/XML and responsive UI principles, improving layout consistency and usability.
  • Debugged and optimized performance issues using Android Studio profiling tools, reducing crashes and improving runtime stability.
  • Collaborated in an Agile-style workflow with Git, resulting in faster iteration and cleaner commits.
  • Built reusable UI components integrated across multiple modules, speeding up future development.

Projects

Selected work

A mix of hackathon builds and real-world client work showcasing mobile, backend, and product thinking.

Hackathon Project

Poki Buddy – Gamified Shared-Home App

Flutter • Dart • Provider • Firebase

A gamified home-management system that turns chores, bills, and groceries into an XP-based progression experience for shared homes.

  • Built an XP engine with streak multipliers, penalty logic, and a 3-stage evolution system in under 18 hours.
  • Implemented key features: bill splitting, chore XP tracking, shared grocery lists, home joining, and weekly leaderboards.
  • Designed modular state management with Provider, reducing unnecessary UI rebuilds.
  • Created a Pokémon-inspired UI with animations and evolution visuals to increase user engagement.
Real Client Project

FoodLink Donation Intake System

Android • Firebase Firestore • SDLC • UML

End-to-end donation logging platform for FoodLink Society, replacing a manual paper process with a scalable digital workflow. Currently in active development with the client.

  • Built donation entry, offline sync, scheduling, staff dashboards, audit tools, and editable entries.
  • Translated 40+ user stories into UML workflows, architecture plans, and release strategy for a 4-person dev team.
  • Designed a Firestore schema with collections for users, stores, schedules, donations, revisions, and reports.
  • Improved reporting accuracy and reduced data loss by moving to real-time cloud data.

In progress

Currently working on

Ongoing projects I’m actively designing, building, and iterating on.

Quick Talk AI Emotional Support Companion
Concept & Prototype Phase

Quick Talk is an AI-powered emotional support companion that helps users navigate stress, overthinking, and everyday problems through empathetic conversation, reflective questions, and simple mindfulness tools.

  • Detects emotional tone in messages and adapts responses to match the user’s state.
  • Uses reflective questioning to help users unpack how they feel instead of giving generic advice.
  • Provides quick tools like breathing guides, grounding prompts, and journaling suggestions.
  • Plans for conversation memory and personalization over time (recurring topics, preferred tone, etc.).
  • Designed with clear safety boundaries — it redirects to real resources for serious situations.

Planned stack: Java/Python backend · NLP (spaCy / transformer embeddings) · Flutter front-end · Firebase / PostgreSQL for storage.

Contact

Let’s build something together

I’m open to internships, junior roles, and impactful projects in mobile or full-stack development.