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Atishaya Maharjan

Winnipeg, Canada

Atishaya
Maharjan

BSc. Joint Honours in Computer Science & Mathematics at the University of Manitoba. Senior Software Engineer at LG Electronics. Researcher in algorithms, graph theory, and machine learning.


LG Electronics

Senior Engineer

GADA Lab

Algorithms Researcher

Dean's Honour

& Int'l Scholarship

2× CTF

Top Placement


About

I study Computer Science and Mathematics (Joint Honours, minor in Statistics) at the University of Manitoba. My work is in discrete mathematics and algorithms — combinatorics on graph and tree structures, approximation algorithms in geometric settings, and extending diffusion-based neural networks to hypergraphs. I work across the GADA Lab, the Terrabyte ML Research Group, and the Department of Mathematics.

On the engineering side, I build enterprise software at LG Electronics. I've also worked at Hoek Insights and Timeero, contributing to early-stage products.


Education

University of Manitoba

BSc. Joint Honours — Computer Science & Mathematics, Minor in Statistics

Aug 2022 – Present
International Undergraduate Scholarship Dean's Honour Roll

Research Interests

Algorithms & Graph Theory

Approximation algorithms, Eulerian circuits, Hamiltonian paths in spatially embedded graphs.

Combinatorics

Independence numbers, the HK-property in perfect trees, generating functions.

ML on Graphs

Hypergraph neural networks, graph neural diffusion, PyTorch Geometric architectures.


LG Electronics

Senior Software Engineer · Englewood Cliffs, USA (Remote)

B2B microservices for 1,000+ vendors using Next.js, Redux, TypeScript. Built AI search engine for global GNB header, promo code + magic link flows, and analytics tagging frameworks.

Mar 2024 – Present

Hoek Insights

Senior Software Engineer · Amsterdam, Netherlands (Remote)

Built a Python package embedding interactive Three.js visualizations in Jupyter Notebooks. Designed a FastAPI + PostgreSQL MVP marketing platform with 18+ endpoints and 95% integration-test coverage.

Jun 2025 – Jan 2026

GADA Lab — Algorithms Researcher

Geometric, Approximation & Distributed Algorithms · University of Manitoba

Delivered talks on wiggly permutations and space-efficient Eulerian circuits. Developed approximation algorithms for Hamiltonian path optimisation in spatially embedded graphs, with visualisation and randomised test-generation tooling.

Mar 2024 – Present

Terrabyte ML Research Group

Machine Learning Researcher · University of Manitoba

Extended Graph Neural Diffusion to Hypergraph Neural Diffusion networks using PyTorch and PyTorch Geometric. Prototyped 4 model variants; tracked 25+ experiments with MLFlow across 5+ datasets.

May 2025 – Present

Preprints & Working Papers

All research →

HK Property in Perfect Binary Trees

Preprint · Unpublished · Combinatorics & Graph Theory

Proved a closed-form solution for the independence number of perfect binary trees and verified Hurlbert–Kamat's Conjecture using generating functions and computational analysis across 1,000+ cases.

PDF ↗

Wiener Index

Preprint · Unpublished · Graph Theory

Original research writeup on the Wiener index, a topological graph invariant defined as the sum of pairwise distances between vertices, with novel analysis and combinatorial results.

PDF ↗

Selected Projects

All work →

Brainstorm W

2026

Full-Stack · AI · RAG

AI-powered, role-specific knowledge management system integrating Pinecone, Jira, Redis, and PostgreSQL. Implemented RAG with role-based access controls and a dynamic model-routing layer. Demoed at Sprint to Innovate 2026; pitched for the CIPS Manitoba Challenge.

Spatially Embedded Graphs

2024–Present

Python · Research · Algorithms

Modelled Hamiltonian paths in ℝ² with focus on approximation algorithms. Generated 200+ randomised instances, built visualisation pipelines, and presented findings at weekly GADA Lab meetings.

CSSA CTF

2025–2026

C · Python · Cryptography

1st place among 41 teams (2026) and 2nd place among 25+ teams (2025) at the annual CSSA Capture the Flag competition, solving web-based cryptography and reverse-engineering challenges.


Teaching & Service

CS Help Center Leader & Teaching Assistant

University of Manitoba · Mentored 100+ students in first- to third-year CS courses. Graded 150+ assignments for Analysis of Algorithms (COMP 3170).

Jan – Apr 2025

Coding Kickoff Facilitator

University of Manitoba · Facilitated workshops on IDE setup and Git for 50+ first-year students.

Feb – Mar 2025

Events Executive, .devClub

University of Manitoba · Co-led planning of workshops, hackathons, and academic review events for the CS community.

Aug 2023 – Jul 2024