Professional Overview
Senior Game & Software Engineer with over 5 years of professional experience developing commercial titles, cross-platform spatial applications, and technical simulations. Specialized in deep Unity3D architecture (C#) and Unreal Engine 5 development (C++ / Blueprints), having shipped and contributed to over 30 interactive applications across PC, Mobile, and XR platforms.
Featured Work & Case Studies
Real-World Terrain Sandbox Game
A procedural sandbox environment enabling players to create and build custom worlds rendered on top of real-world terrain generated from satellite-fetched building data.
- Engineered mesh generation and streaming pipelines for real-world elevation and satellite datasets.
- Connected in-game player progression and achievements with a dedicated companion web application.
- Utilized Unreal Engine 5 workflows for environmental content rendering and video production.
VR Board Game Suite
Adapted 9 classic 2D board games into spatial 3D/VR experiences, re-engineering gameplay mechanics, input systems, and spatial UI for immersive headsets.
- Converted titles including Snakes & Ladders, Tic-Tac-Toe, Jenga, Bingo, Call Break, Gin Rummy, Ludo, Mancala, and Backgammon.
- Optimized performance and framerates across low-power and standalone headsets.
- Showreel includes VR interaction patterns and custom hand-tracking mechanics.
Psycho-Education & Healthcare VR Platform
Collaborated with medical personnel, psychiatrists, artists, and programmers to develop therapy and psycho-education VR courses aimed at supporting social interaction challenges.
- Built immersive interactive environments tailored to specific therapeutic scenarios.
- Iteratively refined user interactions to accommodate non-gamer patient demographics.
- Maintained strict performance stability required for clinical usability.
Synthetic Image Dataset Generator
Developed high-fidelity synthetic image dataset generation environments within Unity3D targeting safety-critical computer vision models.
- Constructed realistic procedural environments and lighting variations.
- Authored custom Python scripts for automated dataset validation and quality checking.
- Provided reliable, annotated datasets for downstream machine learning training workflows.
Technical Capabilities
Game Engines
- Unity3D (5+ Years)
- Unreal Engine 5 (1 Year)
- System Architecture
- Modular Code Design
- 3D Renderer
- Simulation
Programming
- C#
- C++
- Python
- PowerShell
- Blueprint Scripting
- FFmpeg
XR Hardware
- Meta Quest 1 & 2 / Rift
- Oculus Go
- Magic Leap One
- HoloLens One
Tools & Infrastructure
- Git / CodeCommit / GitLab
- Jira / Agile Workflows
- AWS / CDN Pipelines
- Blender (Modeling+Procedural Generation)
Prototypes & Technical Experiments
A collection of minor technical explorations, algorithmic studies, and personal gameplay prototypes:
Maze Bot (Pathfinding AI)
Grid-based pathfinding algorithms and autonomous maze solving in JavaScript.
Launch Experiment →Stealth Game Mechanics
Line-of-sight cone detection, enemy perception states, and cover mechanics.
Launch Experiment →FPS Mechanics Study
Raycast shooting mechanics, recoil modeling, and weapon handling logic.
Launch Experiment →Software Renderer Study
3D software rendering study calculating rasterization and wireframes manually.
Launch Experiment →Wave Battle Prototypes
Enemy wave spawner architecture and object pooling performance test.
Launch V2 Prototype →Memory & Recall Study
Pattern recognition and memory tracking mechanics prototype.
Launch Experiment →Nepali Units Converter
PWA for Nepali units conversion like length, mass, volumm, etc.
Launch Experiment →Basic Utility Tools
PWA for Basic Utility Tools like color-picker, qr-code, word-count, bim, number-system.
Launch Experiment →Video To Gif
Web app leveraging rust + wasm capability to handle video frame to encode to gif format.
Launch Experiment →Paint Engine
A Rust/WASM lightweight, ultra-fast web-based image editor inspired by MS Paint and Paint.NET.
Launch Experiment →Research & Publications
Statistic based Sentiment Analysis of Social Media Data
Karn, A., Shrestha, A., Pudasaini, A., Mahara, B., & Jaiswal, A. "Statistic based Sentiment Analysis of Social Media Data." Int. Res. J. Innov. Eng. Technol. 2 (2018): 28–32.
Research paper exploring statistical models and natural language processing techniques to evaluate and analyze sentiment patterns across social media datasets.
Show BibTeX Citation
@article{karn2018statistic,
title={Statistic based Sentiment Analysis of Social Media Data},
author={Karn, Aman and Shrestha, Anish and Pudasaini, Anil and Mahara, Binay and Jaiswal, Anku},
journal={Int. Res. J. Innov. Eng. Technol.},
volume={2},
pages={28--32},
year={2018}
}