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@JuliaHealth | Open-Source | CSM'26
JuliaHealthAudit
January 10, 2026 – Present
Reproducible audit of JuliaHealth repositories focusing on documentation, CI and maintenance.
View ProjectJuliaHealthZoo
September 4, 2025 – Present
An example zoo of various health research workflows using Julia and JuliaHealth tools.
gsoc25
September 4, 2025 – September 21, 2025
Final Work Report for Google Summer of Code 2025 with JuliaLang
View Projectjava-collections-cheatsheet
August 29, 2025 – August 30, 2025
Handy Java Collections Framework cheat sheet for interviews and coding practice.
View ProjectOMOPCDMFeasibility.jl
July 18, 2025 – Present
Feasibility analysis tools for OMOP CDM cohorts in Julia.
View ProjectPLP-Pipeline
February 23, 2025 – March 25, 2025
PLP-Pipeline is a patient-level prediction pipeline using Julia and DrWatson. It predicts diabetes onset in hypertension patients by analyzing healthcare data with OMOP CDM. The pipeline includes cohort definition, feature extraction, preprocessing, and model training using L1 Logistic Regression, Random Forest, and XGBoost.
View ProjectMindSync
February 19, 2025 – February 24, 2025
MindSync is a Flutter-based mobile app designed to enhance mental well-being. It offers guided meditation, breathing exercises, affirmations, journaling, and mental health insights. Integrated with Firebase for authentication and database, MindSync helps users build mindful habits and improve well-being.
View ProjectBVRITHDrive
August 6, 2024 – August 21, 2024
A repository dedicated to providing study resources for BVRIT Hyderabad students. Find past question papers, important notes, and other materials to excel in your exams. Contribute to the community by sharing your study resources.
View ProjectKomaMRI.jl
April 1, 2020 – Present
Koma is a GPU-accelerated, Pulseq-compatible framework for simulating Magnetic Resonance Imaging (MRI) acquisitions. The primary focus of this package is to simulate the wide range of scenarios encountered during pulse sequence development.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards open-source contributions and community engagement, particularly within the Julia ecosystem and health informatics. This aligns well with collaborative and knowledge-sharing cultures. The diversity of projects, from MRI simulation to mental well-being apps, indicates a broad interest, but the primary focus on Julia and health-related data science suggests a good fit for roles requiring specialized expertise in these areas. The 'BVRITHDrive' project also shows a willingness to support peers.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and community-oriented approach, particularly with 'BVRITHDrive' and contributions to 'JuliaHealth' initiatives. The focus on reproducible research and documentation (JuliaHealthAudit) suggests attention to detail and good operational practices. However, without specific psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is limited.