Kusum Bhattarai Sharma

> Systems/Software Engineer_

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Open to opportunities

Kusum Bhattarai Sharma

B.S. Computer Science • Texas State University • Class of 2027

Building at the intersection of software engineering, AI research, and data science. Currently developing XR systems with sub-150ms latency, AI-driven proposal engines, and spatial health analytics — while maintaining a 3.9 GPA and competing in hackathons.

> Interests
Philosophy Astrophysics F1 Racing Chess Soccer Clash Royale Literature

My_Tech_Stack

Languages

C++

C++

Java

Java

Python

Python

C

C

JavaScript

JavaScript

TypeScript

TypeScript

SQL

SQL

Bash

Bash

Frameworks & Libraries

React

React

Vite

Vite

Node.js

Node.js

Express

Express

FastAPI

FastAPI

Spring Boot

Spring Boot

LangChain

LangChain

NumPy

NumPy

Jest

Jest

Cypress

Cypress

☕

JUnit

Kafka

Kafka

Redis

Redis

Elastic Search

Elastic Search

Tools & Platforms

Docker

Docker

AWS

AWS

Kubernetes

Kubernetes

GCP

GCP

GitHub

GH Actions

Git

Git

Linux

Linux

Postman

Postman

Nginx

Nginx

⚙

Jenkins

Terraform

Terraform

Neovim

Neovim

VS Code

VS Code

IntelliJ

IntelliJ

Bitbucket

Bitbucket

Jira

Jira

Achievements.log

[WIN]

TXST Datathon 2025

2025 // Competition

1st Place Winner — Texas State University annual data science competition.

[3RD]

AI Collective Hackathon

2025 // Hackathon

3rd Place — Data Portability Track. Prize: $1,000. Hosted by AI Collective.

[$32K]

Achievement Scholarship

2023 // Scholarship

TXST merit-based scholarship awarded for academic excellence. GPA: 3.9/4.0.

Experience.log

AI & Data Researcher

THRC, Texas State University

Jan 2025 – Present

  • Engineered multi-source data integration pipeline merging five years of CDC BRFSS SMART survey data (2015–2019) with MSA-level Distress Community Index (DCI) spatial statistics, producing a master dataset for population health analysis.
  • Implemented spatial analytics (Global/Local Moran's I via PySAL, KNN spatial weights k=6, spatial Gini coefficient) and authored structured methodological documentation for data pipeline reproducibility.
  • Developed MSA-level aggregation and LISA cluster classification (HH/LL/HL/LH) with population-weighted shares, enabling identification of geographic health disparity patterns across U.S. metro areas.

Undergraduate Research Assistant

Department of Engineering, Texas State University

Dec 2025 – Present

  • Engineered low-latency voice-to-voice XR agent for Magic Leap 2, integrating async FastAPI and Socket.IO backend with event-driven architecture for concurrent full-duplex audio streams, achieving <150ms audio processing latency.
  • Built context-aware knowledge engine using LangChain and ChromaDB, indexing 3 technical safety manuals with semantic search, deployed to 40 students achieving >90% user satisfaction.

Student Software Developer

Center of Analytics & Data Science, Texas State University

Sep 2025 – Present

  • Architected AI-driven proposal optimization engine implementing Hybrid RAG pipeline with FAISS vector search and cosine similarity ranking to evaluate narrative competency and provide actionable content restructuring recommendations.
  • Built faculty competency module using polymorphic web scraping with k-means clustering for research categorization, reducing team evaluation time by 80% and auto-calculating a 0–10 "Fit Score" against federal solicitation criteria.

Undergraduate Research Assistant

Texas State University

Jan 2024 – Dec 2025

  • Developed Python algorithms using k-means clustering to analyze course-taking patterns across 500+ middle/high school students, enabling research team to identify STEM pathway trends across diverse student populations.
  • Lead author on qualitative research manuscript examining STEM+C enrollment at a Hispanic-Serving Institution, analyzing data from 168 undergraduates and 1,000+ summer camp survey responses.

Projects

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