SOFTWARE ENGINEER × CREATIVE TECHNOLOGIST

DEV JOSHI

DEV JOSHI

I'm a Software Engineering Student at Ontario Tech University, focused on utilizing artificial intelligence and designing pipelines that help create an impact.

Toronto · RemoteDesign SystemsMotion CraftAI Interfaces
About

A designer-engineer blending cinematic storytelling with product rigor.

I partner with teams to translate complex systems into calm, immersive experiences. Every surface is shaped by typography, motion, and engineering discipline.

I approach interfaces like architecture: minimal structure, intentional light, and precise materiality. The goal is not decoration—it's clarity, trust, and a sense of quiet craft.

Currently exploring motion systems, AI interfaces, and layout rhythms that feel warm and human while remaining fast and accessible.

Design + Engineering Mindset

I architect systems with the same care I use for typography and motion, ensuring every interaction feels intentional and measured.

6+Years Experience
18Products Shipped
24Technologies
Experience

Engineering craft across product, platform, and motion systems.

A curated timeline of roles where I shipped cinematic interfaces, resilient platforms, and performance-first design systems.

Syngage Inc. (Co-op via Brilliant Catalyst WIL)

AI/ML Engineer

Oct 2025 – Dec 2025 (Part-time Contract)

  • Reduced inference costs by $1,200 annually and cut latency by ~30% by migrating to self‑hosted Ollama models on AWS EC2
  • Boosted student engagement by 20% with a Socratic teaching agent using LangChain and RAG
  • Delivered a production‑grade IDE supporting 500+ concurrent sessions with <100ms latency
AWS EC2
Ollama
LangChain
Next.js
TypeScript
Monaco Editor
SQLAlchemy
Pydantic

Ontario Tech University

Machine Learning Researcher

Apr 2025 – Nov 2025 (Part-time Research Assistant)

  • Accelerated medical image segmentation training by 40% using Mixed Precision, enabling faster experiments
  • Designed a weighted loss combining Cross‑Entropy and Soft Dice, achieving 93% accuracy on 10k+ CT scans
  • Optimized inference with torch
  • compile, cutting latency from 2
  • 5 s to 1
  • 5 s per scan
PyTorch
AMP
U‑Net
torch.compile
Marching Cubes

Intelligent Solutions Lab

Software Engineering Intern

Apr 2025 – Jul 2025

  • Engineered a real‑time Flutter dashboard, delivering sub‑second latency for 50+ concurrent users
  • Designed RESTful APIs with Node
  • js & Firestore, handling 10k+ concurrent connections with <200 ms response
  • Integrated CI/CD testing (Jest, Cypress) and Redis caching, cutting regression bugs by 60 % and achieving 99
  • 9 % uptime
Flutter
WebSocket
Node.js
Firestore
Jest
Cypress
GitHub Actions
Redis

Code Ninjas

Software Programming Instructor

Feb 2022 – Feb 4

  • Raised program enrollment by 15% through gamified CS modules
  • Mentored 100+ students, improving code quality via live reviews and workshops
JavaScript
Game Development
Teaching
Featured Projects

A curated exhibition of cinematic builds.

Premium interfaces blending editorial storytelling, refined motion, and production-grade engineering.

FeaturedStudio

VeridianAI - Personalized Newsletter SaaS

Built a personalized newsletter SaaS that aggregates and summarizes over 10k daily articles using Hugging Face Transformers, delivering a lightweight UI with Firebase auth and achieving a 95+ Lighthouse performance score.

Python
Firebase
Next.js
Tailwind CSS
    More Projects
    Project

    StellarSphere - Decentralized FinTech dApp

    Built a decentralized FinTech dApp with a three‑tier microservices architecture, enabling high‑concurrency escrow payments and secure blockchain operations on the Stellar network.

      Node.js
      PostgreSQL
      Docker
      Flask
      Project

      Censor-It

      A privacy‑focused moderation platform that uses ML models to detect and automatically censor inappropriate text and images in real time, supporting multi‑language content.

        Python
        TensorFlow
        FastAPI
        Docker
        AWS Lambda
        Tech Stack

        Tools, systems, and platforms I craft with.

        A modern, performance-first stack shaped for scalable interfaces and premium motion.

        Frontend

        Next.js
        React
        TypeScript
        Framer Motion
        Tailwind CSS

        Backend

        Node.js
        Postgres
        GraphQL
        tRPC
        Prisma

        AI/ML

        Python
        TensorFlow
        LangChain
        Vertex AI
        Weights & Biases

        Cloud

        Vercel
        GCP
        AWS
        Cloudflare
        Docker

        Design

        Figma
        Framer
        ProtoPie
        After Effects
        Spline
        Testimonials

        Trusted by teams who value polish.

        A few words from collaborators and product leaders.

        Dev worked with me as part of Brilliant Catalyst’s Work-Integrated-Learning Program and quickly demonstrated an excellent ability to learn new skills, including applying LLMs such as phi-4-mini for AI-assistant coding. Dev showed a unique balance of academic discipline and practical SE, approaching unfamiliar systems with curiosity and follow-through.

        Qusay H. Mahmoud

        Professor of Software Engineering | AI & Software Innovator