Curriculum Vitæ
Atishaya Maharjan
BSc. Joint Honours, Computer Science & Mathematics · University of Manitoba
Software Engineer, LG Electronics · Tech Lead, Vibecore
Winnipeg, Canada
Abstract
I am a final-year student in Computer Science and Mathematics (Joint Honours, minor in Statistics) at the University of Manitoba. My research starts from algorithms and mathematical structure: exact and approximation algorithms and hardness results for geometric optimization problems, and combinatorics on trees. I am increasingly interested in optimization and learning under uncertainty, and in machine learning that rests on solid theory. In the GADA Lab, I work with Dr. Stephane Durocher and Dr. Anurag Murty Naredla on fuel-efficient collaborative delivery; my honours project with Dr. Christopher Henry is on calibrated risk prediction. On the engineering side, I am a software engineer at LG Electronics and tech lead at Vibecore.
I Research Interests
Algorithms & computational geometry. Exact and approximation algorithms, and NP-hardness, for geometric problems such as collaborative delivery and Hamiltonian paths in spatially embedded graphs.
Combinatorial optimization under uncertainty. Optimization and decision-making when inputs are uncertain; calibrated prediction that can be trusted downstream.
Theoretically grounded machine learning. Learning methods with provable guarantees, including learning on graphs and hypergraphs.
Combinatorics. The Hurlbert–Kamat property and independence numbers of perfect trees, via generating functions.
II Education
Aug 2022 – May 2027 (expected)
University of Manitoba
BSc. Joint Honours — Computer Science & Mathematics, Minor in Statistics
International Undergraduate Scholarship · Dean's Honour Roll
III Experience
Mar 2024 – Present
LG Electronics
Software Engineer · Englewood Cliffs, USA (Remote)
Shipped Next.js, Redux, and TypeScript B2B platform features for 1,000+ vendors, contributing to a 25% engagement lift. Built analytics adopted by 6+ teams and AI search with 35 ms lower latency; checkout workflows drove a 15% conversion lift.
Present
Vibecore
Tech Lead · Remote
Lead a small team building a GitHub-native software verification platform for founders who build with AI coding tools. Automated CI/CD deployments from GitHub Actions to AWS EC2; configured S3, DynamoDB, IAM permissions, and EBS/EFS storage for cloud-hosted application workflows.
Jun 2025 – Jan 2026
Hoek Insights
Software Engineer · Amsterdam, Netherlands (Remote)
Engineered a Python package for Three.js visualizations in Jupyter, reducing render time by 38% and bundle size by 25%. Shipped a FastAPI and PostgreSQL MVP with 18+ endpoints, below 200 ms staging latency, and 95% integration-test coverage.
Mar 2024 – Present
GADA Lab
Undergraduate Researcher, Algorithms & Computational Geometry · University of Manitoba
Supervisors: Dr. Stephane Durocher, Dr. Anurag Murty Naredla, Dr. Leqi (Jimmy) Zhu & Dr. Avery Miller
Fuel-efficient collaborative delivery: an O(n²) algorithm for the line-restricted setting (improving the previous O(n³) from WALCOM 2025), an O(n³) algorithm for the L1 setting, and NP-hardness for the Euclidean setting, where the L1 algorithm gives a √2-approximation. Also built Hamiltonian-path approximation and randomized testing tooling across 100+ instances.
Sep 2026 – Apr 2027
Honours Research Project
Calibrated Risk Prediction · University of Manitoba
Supervisors: Dr. Christopher Henry, Dr. Mohammad Sayari & Dr. Sadaf Salehkalaibar
Calibrated prediction of potato pathogen risk and yield loss, in collaboration with the Department of Plant Science.
May 2025 – Present
Terrabyte ML Research Group
Machine Learning Researcher · University of Manitoba
Extended diffusion-based learning to hypergraphs with PyTorch and PyTorch Geometric. Implemented 4 model variants and built an MLflow pipeline tracking 25+ experiments across 5+ datasets.
IV Preprints & Working Papers
- [1] S. Durocher, A. Maharjan, A. Miller, A. M. Naredla. Geometric Algorithms and Hardness for Fuel-Efficient Collaborative Delivery. Manuscript in preparation. O(n²) and O(n³) algorithms for the line-restricted and L1 settings, and NP-hardness for the Euclidean setting.
- [2] A. Arman, A. Maharjan, M. N. Shirazi. HK Property in Perfect Binary Trees. Preprint. A generating-function framework for star sizes in perfect m-ary trees, giving an alternate, coefficientwise proof of the HK-property, a structured recurrence for the gap between the leaf star and the root star, and formulas for the independence number and the minimum size of a maximal independent set. [PDF]
- [3] A. Maharjan. Wiener Index. Report. Implementation of a heuristic algorithm for an open problem on the Wiener index (the sum of all pairwise distances between vertices of a graph), with an analysis of the problem. Exploratory; it does not resolve the problem. [PDF]
V Selected Works
PayTime
1st Place · 2026Next.js · TypeScript · FastAPI · Python · Supabase
Won the CSSA Design & Craft Case Competition by building an auditable payroll-ingestion platform in 6.5 hours. Added field mapping, validation, exception review, and source traceability across CSV, XLSX, PDF, image, and email-derived records.
HAPA
Winner · 2026Next.js · React · TypeScript · AI/LLM
Won the AccelR8 Prairie AI Hackathon with a working personalized-shopping prototype built in 12 hours. It adapts recommendations using onboarding preferences, swipe feedback, and natural-language/voice pivots; the broader design supports multimodal personalization and AI-assisted commerce.
EkNepal
Frontend · Professional Project · Alpinist Studios
A news-aggregation platform bringing reporting from multiple Nepali publications into one interface. My first paid programming project — I contributed to the frontend while working through Alpinist Studios.
WinLocate
2026Full-Stack · React · Civic Data
A full-stack civic-data platform helping organizations compare Winnipeg locations using city data, zoning maps, and budget estimates via the Socrata API. 1st place, 2026 Winnipeg Open Data Datathon.
Spatially Embedded Graphs
2024–PresentPython · Research · Algorithms
Modelled Hamiltonian paths in ℝ² with a focus on approximation algorithms. Generated 100+ randomised instances, built visualisation pipelines, and validated algorithm behaviour across synthetic inputs.
CSSA CTF
2025–2026C · 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.
VI Teaching & Service
Jan – Apr 2025
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).
Feb – Mar 2025
Coding Kickoff Facilitator
University of Manitoba · Facilitated workshops on IDE setup and Git for 50+ first-year students.
Aug 2023 – Jul 2024
Events Executive, .devClub
University of Manitoba · Co-led planning of workshops, hackathons, and academic review events for the CS community.