Aadavn NimalthasNimalthas Imaging

Software · Computer science

Software

C++ and Python pointed at image pipelines — super-resolution, artifact control, hardware acceleration — plus real-time AR and the web systems behind Nimalthas Imaging.

aadavn@nimalthas.com

01 / Principal work

Three projects worth your time

A photograph graded with MagicTrick

MagicTrick

The product behind Nimalthas Imaging: photo and video grading that runs in the browser, built to ask nothing of the user but the picture.

  • TypeScript
  • Next.js
  • TensorFlow.js
  • Supabase
  • Stripe
6Engines
114/114Tests passing

HCAISSR

A six-engine offline photo pipeline: auto-sorts, rebuilds structural defects, upscales with hybrid classical and AI methods, simulates depth of field, corrects artifacts, and compresses for delivery.

  • C++
  • Metal
  • CUDA
  • Vulkan
  • NEON SIMD
Reconstructed hand skeleton overlaid on the camera feed

LiDAR 3D Hand Reconstruction

Real-time 3D hand skeleton reconstruction on-device, fusing Vision hand pose with ARKit depth through a modular RealityKit renderer.

  • Swift
  • ARKit
  • RealityKit
  • Vision

02 / Research and tooling

Smaller, still serious

  1. 01

    Classical Reconstruction-Based Super-Resolution

    A non-learning single-image SR pipeline posed as an inverse problem: progressive upscaling, edge-guided refinement and iterative back-projection.

    Python · NumPy
  2. 02

    Artifact-Controlled Image Upscaler

    A stable, explainable CLI upscaler built around artifact control — anti-ringing, edge protection, adaptive sharpening — rather than hallucinated detail.

    Python

03 / Technical

What I actually know

Languages

  • C++

    CMPT 125 and CMPT 225 at SFU, focused on OOP, recursion and complexity-aware implementation; then HCAISSR.

  • Python

    Introduced in CMPT 120, then expanded through self-directed tooling and research prototypes.

  • Swift

    Self-taught through Swift Playgrounds, deepened via iOS and AR work with ARKit, RealityKit and Vision.

  • TypeScript
  • Java
  • C
  • MATLAB

Core Computer Science

  • Data Structures

    CMPT 225: linked structures, trees, sorting and searching, ADT design.

  • Algorithmic Complexity

    CMPT 225, analysing time and space complexity and validating tradeoffs under real constraints.

  • Recursion
  • Sorting & Searching
  • Trees & Graphs
  • Hashing

Low-Level & Memory

  • Pointers & Memory

    C and C++ implementation work, with emphasis on correctness, ownership and runtime behaviour.

  • Manual Memory Management
  • Low-Level Debugging
  • SIMD & Hardware Acceleration

Design & Architecture

  • Object-Oriented Design
  • Abstraction & Code Organization
  • API Design
  • Modular Pipeline Architecture

Systems & Performance

  • Performance Optimization
  • Profiling & Debugging
  • Architectural Thinking
  • Working Under Resource Constraints

04 / Background

Experience and education

Vancouver, BC

FounderNimalthas Imaging

Building local-first intelligent imaging tools. Shipped MagicTrick end to end — the grading model, the web application, subscription billing and accounts.

  • Designed and shipped MagicTrick, a browser-based grading application
  • Built the company site, blog and support platform across four subdomains
  • Runs all image processing client-side so pictures never leave the browser
Vancouver, BC

Photographer, Videographer & Live ProductionIndependent

Photography, hybrid video and full live-event AV production for community events, weddings and broadcasts.

  • Ran sound and full AV for Gayatri Havan and other multi-camera live events
  • Self-taught OBS, live switching and streaming workflows from a phone setup
  • Shoots full-manual on Sony bodies; handles capture through post and delivery
Burnaby, BC

Simon Fraser UniversityBSc Computing Science

Currently focused on image sampling and upscaling research, in the territory staked out by AMD FSR and NVIDIA DLSS.

8 relevant courses
  • CMPT 225 · Data Structures and ProgrammingData Structures · Big-O Analysis · Trees & Linked Structures · Algorithm Design
  • CMPT 125 · Programming IIC++ · Object-Oriented Programming · Recursion · Abstraction
  • CMPT 120 · Introduction to ProgrammingPython · Control Flow · Functions · Problem Solving
  • CMPT 105W · Computing Science WritingTechnical Communication · Critical Thinking · Structured Writing
  • MACM 101 · Discrete Mathematics ILogic · Proof Techniques · Combinatorics
  • MATH 232 · Linear AlgebraMatrix Operations · Vector Spaces · Transformations
  • MATH 152 · Calculus IIIntegration · Series · Pattern Recognition
  • MATH 150 · Calculus IDerivatives · Optimization · Mathematical Modeling

05 / Archive

Coursework and supporting work

06 / Next

Looking for Software Engineering Co-op opportunities for 2026

If you are working on imaging, performance-sensitive systems or anything adjacent, I would like to hear about it. There is also an imaging and film side to what I do, and writing at Nimalthas Insights.

aadavn@nimalthas.comGitHubRésumé