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I'm a Statistics and Computer Science student at the University of Toronto. Right now I'm a Software Engineer Intern at Autodesk, working on the backend infrastructure behind the cloud data platform their desktop, mobile, and web products run on. Before that I interned at Intact Insurance and built internal tools for engineers at Enercare. I also lead dev teams at Google Developer Group and UofT's Computer Science Enrichment Club. In my spare time I build side projects, mostly apps and AI tools that solve problems I run into.

●Open to opportunities·Canada & the US

Experience

2021 — Present
▸AutodeskSep 2026 – PresentSoftware Engineer Intern · Autodesk Platform ServicesToronto, ON

Developing distributed Java services for an exabyte-scale cloud data platform powering Autodesk desktop, mobile, and web products. Designing a caching and routing layer that directs reads and writes from Autodesk cloud services to the correct database instance, and tuning the Java code paths and SQL queries behind high-throughput reads and writes to cut latency and database load for services used by millions of users.

[Java][SQL][Distributed Systems][Caching][Cloud][Databases]
▸Intact InsuranceJan 2026 – Apr 2026 · 4 mosSoftware Engineer InternToronto, ON

Architected a distributed Apache Kafka pipeline processing 10K+ daily Copilot events for 300+ engineers, and built an OrgTree UI + Spring Boot service merging GitHub and MS Graph data into 2,000+ enriched employee nodes. Built the base LitmusChaos reliability-testing harness on Kubernetes with LGTM-stack observability to run in production, shipped a productivity dashboard comparing AI-tool usage to GitHub metrics, and automated a 1,000+ repo GitHub Cloud migration in Python.

[Apache Kafka][Spring Boot][Next.js][GraphQL][MongoDB][Kubernetes][Python]
▸EnercareMay 2025 – Dec 2025 · 8 mosSoftware Engineer InternMarkham, ON

Built an Admin Portal centralizing tools and workflows across 5 engineering teams, with PostgreSQL-backed audit logging of every self-service and admin action. Reduced production debugging time 40% via user impersonation, OpenTelemetry traces, and Azure Application Insights, optimized queries and indexes on the main customer database, and deployed NextAuth.js / Entra ID SSO + RBAC for 500+ IT staff on Azure Container Apps with Docker CI/CD.

[Next.js][NestJS][Azure][PostgreSQL][OpenTelemetry][NextAuth.js][Docker]
▸Google Developer Group UofT ScarboroughMay 2025 – Dec 2025 · 8 mosSoftware Developer & Organization LeadScarborough, ON

Built and deployed a Next.js / TypeScript student platform on Cloudflare for 500+ students and organizers, securing admin and API routes with server-side Firebase Auth token verification and role-scoped RBAC. Modeled event, team, and applicant records in Firestore with Cloud Functions triggers, and built Google Vertex AI–powered resume screening to rank applicants with reviewer queues and status tracking.

[Next.js][TypeScript][Firebase][Firestore][Cloudflare][Vertex AI][Cloud Functions]
▸Computer Science Enrichment ClubSep 2024 – Dec 2025 · 1 yr 4 mosDirector of Research and DevelopmentToronto, ON

Led R&D for one of UofT's largest CS clubs — ran technical workshops and mentored students building real projects, growing engagement across the community.

[Mentorship][Workshops][Community]
▸University of Toronto Aerospace TeamDec 2024 – May 2025 · 6 mosData Processing Team MemberToronto, ON

Processed and cleaned flight + sensor data for the Aerospace Team's competition pipeline, turning raw telemetry into usable datasets.

[Python][Data Cleaning][Telemetry]
▸University of Toronto ScarboroughSep 2023 – Apr 2024 · 8 mosIT Student Help Desk Representative · Contract · Part-timeToronto, ON · On-site

Front-line support for UTSC students and staff — triaged tickets, fixed account, hardware, and network issues, and kept the computer labs running.

[Troubleshooting][Networking][Support]
▸Champs SportsJul 2023 – Sep 2023 · 3 mosSneaker Slinger · Permanent · Part-time// officially: Retail Sales AssociateToronto, ON · On-site

Moved sneakers and matched people to the right pair. Hit sales targets, ran the stockroom, and survived launch-day lineups.

[Sales][Inventory][Customer Service]
▸ZaraSep 2021 – Jul 2023 · 1 yr 11 mosProfessional Clothes Folder · Permanent · Part-time// officially: Retail Sales / Stockroom AssociateToronto, ON · On-site

Folded a small mountain of clothes into submission. Kept the floor shoppable, ran the stockroom, and handled customers through peak retail chaos.

[Inventory][Merchandising][Customer Service]
▸McDonald'sMar 2021 – Sep 2021 · 7 mosBurger Flipper · Permanent · Part-time// officially: Restaurant Crew MemberToronto, ON · On-site

Ran the line during rushes — speed, accuracy, and grace under a full drive-thru. First job; learned to keep my cool when it's slammed.

[Teamwork][Time Management][Grace Under Fire]

Skills

Languages

Python
Java
Go
TypeScript
JavaScript
C
Bash

Frameworks & Libraries

React
Next.js
NestJS
Spring Boot
Django
FastAPI
pandas
NumPy
scikit-learn
Prisma
Tailwind

Infrastructure & Tooling

Docker
Kubernetes
Terraform
Kafka
Redis
Elasticsearch
PostgreSQL
MongoDB
Firebase
GCP
Cloudflare
Prometheus
Grafana
Jenkins
Git
GitHub
Linux

Concepts

[SQL][REST APIs][gRPC][GraphQL][Protobuf][Microservices][Distributed Systems][Event Streaming][Spec-Driven Development][Caching][Key-Value Stores][CI/CD][Observability][TDD][RBAC][SSO][Azure][Agile]

Projects

  • Fleet Telemetry — End-to-end Go pipeline streaming Protobuf vehicle telemetry through Apache Kafka into PostgreSQL and Redis, scaled across a rebalancing consumer group with consumer lag tracked in Prometheus and Grafana, and served to a live Next.js map and charts dashboard over gRPC/REST/SSE.
  • Broke Besties — Event-driven expense-sharing app where a LangGraph + Gemini agent scans receipts via OCR and turns plain language into debts, with async Kafka workers driving Stripe payments, settlements, and email on a Prisma/Supabase backend.
  • CourtSync — Volleyball drop-in app on Next.js with Spring Boot microservices over gRPC for court discovery, scheduling, and player flows, an event-driven Kafka + Redis backend for real-time drop-ins, RSVPs, waitlists, and alerts, and sub-second geo-search via Elasticsearch indexes over PostgreSQL.
  • Loci — Turns notes into walkable 3D memory palaces in under 30s via a Gemini OCR-to-object pipeline, with a sub-2s voice/text AI agent on GCP and 15+ interactive Three.js rooms with AI-graded quizzes.
  • Planetze — Android app tracking 50+ daily carbon activities with Firebase, backed by 95% test coverage.
  • ML Network Intrusion — Compared Logistic Regression, MLP, Random Forest, and XGBoost on UNSW-NB15 network traffic, using feature engineering and threshold tuning to push tree-based models to 0.8784 F1 and 0.9729 ROC-AUC.

Outside of Work

Away from the keyboard, I'm usually playing volleyball, basketball, or bouldering with friends, catching up on the latest seasonal anime, or trying out a new recipe on the weekend. Cooking is a new hobby I've been leaning into. When I'm in, I'm usually on Discord with friends, queuing up Valorant or Arc Raiders late into the night. I also love getting out of the city for a portage trip with friends whenever I can nothing better resets the brain like a canoe and no signal. And at home, I'm outnumbered by my five cats.

Daniel standing in front of a brick wall in a black coat.
Daniel in a wide-brim hat by the water.
Daniel in a white shirt standing on a dock by the lake.
Daniel with friends in the forest during a portage trip.
sking
Daniel posing with prop swords on a video call.
Daniel holding a pool cue while posing in sunglasses.
Toronto skyline at night with the moon above the lake.

Contact

Best reach is email. I'm also on GitHub and LinkedIn.

danielvenistan@gmail.com·daniel.venistan@mail.utoronto.ca