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Who Am I?
Hi, I’m Bibesh Pyakurel, a Computer Science graduate from University of Wisconsin–Green Bay with hands-on experience in data engineering, software development, and analytics.
I enjoy building systems that turn raw data into meaningful insights and scalable services—whether that’s designing Redis-backed metrics APIs, creating Power BI dashboards to support business decisions, or developing full-stack web applications with real users in mind.
As an international graduate from Nepal, I bring a global perspective and a strong work ethic shaped by adapting to new environments and solving unfamiliar problems. I care deeply about why systems are built—not just how—and I aim to create solutions that are reliable, thoughtful, and impactful.
I’m currently seeking opportunities where I can continue learning, contribute to production-level systems, and grow as a software or data engineer.
Interests: Backend systems, data pipelines, analytics, distributed systems
Tech: Java, Spring Boot, Redis, SQL, Power BI, JavaScript, Python
Software Engineering
Data
Engineering
Web
Design
Application
Design
Actively seeking entry-level software, data, or backend engineering roles where I can learn, build, and make impact.
Get in TouchEducation
I earned my Bachelor’s degree in Computer Science from University of Wisconsin–Green Bay , where I built a strong foundation in software engineering, data systems, and problem-solving through coursework, projects, and hands-on experience.
Throughout my academic journey, I consistently demonstrated strong academic performance while balancing technical projects, internships, and extracurricular involvement.
- Dean’s List every semester
- High Honors (Fall 2022, Spring 2024); Honors (Spring 2023, Fall 2023)
- GPA: 3.8 / 4.0
I completed my high school with sciene focus from Trinity International SS & College. It is the largest high school institution in Nepal with more than 95% of graduation rate. I graduated with more that 3000 students.
- Dean's List
- Top 10 in class of 3k+ students
- 3.8/4.0 GPA
Work Experience
Software Developer (Intern) | Schneider Electric May 2025 – Aug 2025
Developed a Redis Management Client Library in Spring Boot to retrieve Redis key metrics and publish them to Dynatrace for real-time monitoring. Implemented scalable integration logic to dynamically support multiple Redis configurations across on-premise and Azure-hosted environments. Maintained and enhanced internal web applications (including UI improvements and bug fixes) using React, and supported application migration efforts to Microsoft Azure.
Software Developer (Intern) | Brown County Feb 2025 – Apr 2025
Collaborated on the development of an ERP system to support county operations. Implemented and customized Odoo modules, developed backend functionality using Python, and managed relational data using PostgreSQL. Coordinated module integration to ensure consistent workflows and reliable data handling.
Founder & President | Nepalese Students’ Association – UW–Green Bay Aug 2024 – Aug 2025
Founded and led a student organization focused on representing Nepalese students and fostering cultural exchange. Planned and executed cultural and educational events, coordinated with campus stakeholders, and managed a team to build community and improve student engagement.
Research Assistant – Pavement Crack Detection | WiSys Sep 2024 – Dec 2024
Assisted in developing a vision-based road crack detection system using deep learning. Collected data and performed annotation using Label Studio to support model training. Contributed to documentation and research writing using LaTeX (Overleaf) and supported comparative evaluation of model approaches.
Data Engineer (Intern) | Faith Technologies Incorporated May 2024 – Aug 2024
Analyzed operational datasets and developed/optimized ETL pipelines using Azure, processing millions of records for business analytics. Delivered real-time reporting through Power BI dashboards to support data-driven decisions. Built and evaluated machine learning models for predictive insights, and created internal AI agents using Microsoft OpenAI and Copilot Studio.
Computer Science Intern (Cybersecurity) | Resch School of Engineering Feb 2024 – May 2024
Gained hands-on experience with cybersecurity labs on Linux systems (Ubuntu and Kali). Performed controlled testing and analysis of key vulnerability classes including buffer overflows, return-to-libc and ROP techniques, format string vulnerabilities, and race conditions.
Resident Assistant | University of Wisconsin–Green Bay Jan 2023 – Dec 2025
Supported student success and community well-being in residential housing through mentorship, conflict resolution, and event planning. Partnered with campus staff to foster an inclusive environment and respond to resident needs.
Student PEEP | The Weidner Center Feb 2023 – Dec 2025
Performed ELT on ticket buyer data to support accurate segmentation and seamless integration into Salesforce. Contributed to ongoing updates of the official website and improved content delivery workflows to enable timely, real-time updates.
Projects
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Trainlytics – Multi-Tenant Full-Stack Fitness Analytics Platform (Next.js + Supabase + AI)
Production-structured platform with authenticated user isolation, analytics dashboards, and AI-driven fitness insights.
Built for secure multi-tenant usage: workout tracking, bodyweight and calorie logs, trend analytics, and context-aware recommendations.
Key Features
- Multi-tenant architecture with Postgres Row Level Security (RLS) for strict per-user data isolation.
- Modular feature-first codebase structure across app/, features/, lib/, and db/ layers.
- AI insights endpoint with validation, rate limiting, and timeout handling.
- Protected and public route contracts enforced through centralized proxy patterns.
- CI-backed migration planning and validation for stable schema evolution.
Key Highlights
- Implemented Supabase Auth with OTP verification, session preflight checks, and secure signout flow.
- Built dashboard analytics using Recharts with strength, muscle-group, and energy balance trends.
- Added runtime monitoring endpoint for client/server error reporting.
- Integrated GitHub Actions CI for lint, typecheck, unit tests, and DB plan validation.
Outcome: Demonstrates production-level security, modular system design, and reliability-first backend engineering.
Skills: Next.js · React.js · TypeScript · Tailwind CSS · Supabase · PostgreSQL · Row Level Security (RLS) · REST APIs · OpenAI API · GitHub Actions · CI/CD · Vitest · Playwright · Database Design · Full-Stack Development · System Architecture · Authentication Systems
Music Emotion Prediction using Machine Learning
Developed a machine learning pipeline to predict emotional responses to music using audio features from a 278k+ track dataset.
Key Features
- End-to-end preprocessing pipeline for large-scale numeric audio features.
- Supervised classification workflows using Decision Tree and KNN models.
- Unsupervised clustering workflow using KMeans for emotion grouping exploration.
- PCA-based dimensionality reduction and cluster visualization for interpretability.
Key Highlights
- Extracted top features influencing mood, such as valence, energy, tempo, and danceability, using feature importance from decision trees.
- Visualized confusion matrices and PCA-based clustering to interpret model performance and emotion grouping.
- Evaluated models with accuracy metrics and Adjusted Rand Index to assess classification vs. clustering alignment.
- Preprocessed and normalized high-dimensional audio data for scalable analysis and visualization.
Outcome: Achieved clear, interpretable emotion groupings and demonstrated effective use of classical ML techniques for music mood analysis.
Skills: Machine Learning · Pandas · NumPy · Scikit-Learn · Principal Component Analysis · Model Evaluation · Data Interpretation · Information Visualization
Resume & Job Description Matching System
Built a Python-based automation tool to match resumes against job descriptions using natural language processing.
Key Features
- Automated PDF resume parsing and text cleaning pipeline.
- Keyword and cosine-similarity scoring against job description text.
- Batch resume processing with ranked match-percentage output.
- NLP preprocessing pipeline using NLTK and Scikit-learn utilities.
Key Highlights
- Delivered a repeatable screening flow that reduces manual first-pass review effort.
- Improved consistency in candidate-job alignment through quantitative scoring.
- Built a practical, extensible baseline for recruiting automation use cases.
Outcome: Delivered a practical screening workflow that improves resume shortlisting consistency and speeds up initial candidate-job fit analysis.
Skills: Python · NLP · Resume Parsing · Cosine Similarity · Scikit-learn · Text Matching · PyPDF2 · Data Automation
Typing Speed Game in JavaFX
Built a desktop typing trainer inspired by Monkeytype, focused on real-time feedback for speed, accuracy, and consistency.
Key Features
- Real-time typing engine with word-by-word validation and countdown timers.
- MVC architecture separating UI state, input logic, and scoring rules.
- Session controls including reset flow, difficulty options, and dynamic timing.
- Custom word-list ingestion with file handling for flexible content.
Key Highlights
- Calculated WPM, accuracy, and error count in real time and at session completion.
- Delivered interactive UX with responsive feedback while typing.
- Built maintainable OOP code structure for future feature extension.
Outcome: Created a reliable typing-practice game that improves user feedback quality for speed and accuracy training.
Skills: Java · JavaFX · File Handling
Pavement Crack Detection Project | WiSys
Assisted in the development of a vision-based system for road crack detection using hybrid deep learning architecture.
Key Features
- Hybrid deep learning workflow for image-based pavement defect detection.
- Data collection and annotation process using Label Studio for training readiness.
- Research documentation workflow in LaTeX/Overleaf for technical reporting.
Key Highlights
- Contributed to comparative analysis across model approaches.
- Improved data quality and labeling consistency for model experimentation.
- Supported publication-oriented documentation for project findings.
Outcome: Contributed to a stronger research workflow for crack detection through cleaner labeled data, model experimentation, and publication support.
Skills: Deep Learning · Machine Learning · Comparative Analysis · Label Studio · Convolutional Neural Networks (CNN) · LaTeX · Overleaf
Blackjack Game Development in Java Language
Developed a Java desktop Blackjack game with interactive gameplay, betting logic, and GUI-driven player actions.
Key Features
- Card engine with deck operations, hand evaluation, and dealer/player game rules.
- GUI-based controls for hit/stand flows, score display, and round state transitions.
- Game-state lifecycle management across deal, play, outcome, and reset phases.
Key Highlights
- Delivered a playable Blackjack application with stable game rules and user-friendly interactions.
- Improved maintainability through modular classes for deck, hand, and game controller logic.
- Demonstrated practical desktop game architecture and event-driven UI development.
Outcome: Built a complete interactive desktop game that demonstrates robust game logic and reusable JavaFX architecture.
Skills: Java · JavaFX · Scene Builder · OOP · Event Handling
Smart Student App | Android Studio
Designed a very simple multi-functioning app in Android Studio. Incorporated native features like emergency calling.
Key Features
- Multi-utility mobile interface tailored to student day-to-day workflows.
- Native Android feature integration including one-tap emergency calling.
- Simple navigation flow focused on fast access to essential actions.
Key Highlights
- Demonstrated practical mobile product thinking for student-centered usability.
- Converted functional requirements into a working Android prototype.
- Showed ability to combine utility and safety features in one app experience.
Outcome: Delivered an easy-to-use mobile utility prototype that demonstrates practical feature integration for student workflows.
Skills: Android Studio · Mobile App Development · UI Design · Native Feature Integration
Student Budget Calculator | Personal Project
Built a budgeting application to help students track expenses, compare spending against limits, and improve monthly financial planning.
Key Features
- Expense-entry workflow with category grouping and per-category totals.
- Budget calculation engine for tracking remaining balance and spending trends.
- Input validation layer for missing, invalid, and non-numeric values.
Key Highlights
- Created a practical budgeting tool that helps users monitor where money is going.
- Enabled clearer decision-making through category-wise spending visibility.
- Delivered a clean, extensible code structure for future features (savings goals, reports).
Outcome: Delivered a user-friendly budgeting tool that supports better spending awareness and planning discipline for students.
Skills: Java · JavaFX · Scene Builder · Budget Modeling · Input Validation
CyberSecurity Labs | Intern Project
Completed hands-on offensive security labs focused on memory corruption, exploit construction, and Linux-based vulnerability analysis.
Key Features
- Hands-on Linux lab environments for controlled vulnerability exploitation practice.
- Attack-method exploration including buffer overflow, return-to-libc, and ROP techniques.
- Technical write-ups documenting exploit setup, execution path, and lessons learned.
Key Highlights
- Improved exploit debugging capability through stack and control-flow analysis.
- Built a practical understanding of exploit mechanics and defensive awareness for unsafe code patterns.
- Delivered repeatable lab guides that improved clarity for future learners and collaborators.
- Strengthened systems-level reasoning around process memory and program execution.
Outcome: Built strong foundational security testing skills and produced reusable attack analysis documentation for knowledge transfer.
Skills: Linux · Buffer Overflow · Return-to-libc · ROP · Vulnerability Analysis · Security Documentation
Database Design | Class Project
Designed and implemented a relational database for an online service system, from entity modeling to executable SQL schema and queries.
Key Features
- Entity-relationship modeling with clear relationship and cardinality design.
- Normalized relational schema with keys, constraints, and integrity checks.
- SQL query set for core data retrieval, filtering, and reporting workflows.
Key Highlights
- Validated data consistency and relationship correctness across test records.
- Delivered a structured database blueprint with a reliable schema and logical data relationships.
- Improved query accuracy and maintainability through normalized design decisions.
- Demonstrated end-to-end database design capability from concept to implementation.
Outcome: Produced a stable, scalable relational data model ready for application-level integration and reporting use cases.
Skills: SQL · Database Design · ER Diagrams · Relational Modeling · Normalization
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Software, Data & AI Skills
My core strengths are in backend software development, data engineering, and applied AI—building scalable services, reliable data pipelines, and analytics solutions that support real-world decisions.
Software Engineering (Backend & APIs)
- Java, Spring Boot
- Python, C#, C++
- Scala
- REST API Development
- Node.js, .NET
- Redis (standalone & clustered)
- System Integration & Troubleshooting
- API Testing (Insomnia)
- Supabase, Authentication Systems, Row Level Security (RLS)
- System Architecture, Full-Stack Development
- CI/CD, GitHub Actions, Jenkins, Vitest, Playwright
- Testing, Agile (Scrum)
Data Engineering & Analytics
- SQL (SQL Server, PostgreSQL)
- NoSQL, MongoDB
- Snowflake, BigQuery
- ETL / ELT Pipelines
- ETL Development, Data Pipelines, Workflow Automation
- Azure Data Factory
- PySpark, Pandas, NumPy
- Data Transformation, Large-Scale Data Processing
- Data Modeling & Warehousing
- Power BI Dashboards & Reporting
- Database Design
Cloud & Observability
- Microsoft Azure, AWS
- Git, GitHub, Jira
- Monitoring & Metrics (Dynatrace)
- Docker, Kubernetes (Foundational)
AI & Machine Learning
- Machine Learning & Model Evaluation
- Scikit-learn, TensorFlow, PyTorch
- Deep Learning (CNNs)
- Data Annotation (Label Studio)
- Microsoft OpenAI / Copilot Studio (AI Agents)
- OpenAI API
Web & Frontend (Supporting Skills)
- JavaScript
- Next.js, React, TypeScript
- Tailwind CSS
- HTML / CSS
- WordPress
Security & Systems (Supporting Skills)
- Linux (Ubuntu, Kali Linux)
- Vulnerability Labs: Buffer Overflow, ROP, Return-to-libc, Format String
Published Books
A glimpse into my published Nepali poetry work, story-driven themes, and reader engagement moments.
Dive into the Heart of Reality: Unveiling Romance, Society, and Inequality in यथार्थ Nov 18, 2020
In यथार्थ (Reality), I explore the complex tapestry of life, revealing the deep truths about love, society, and inequality. Through heartfelt stories, I invite you to embark on a journey that challenges our understanding of the world. This book isn't just about romance; it's about the everyday struggles we all face. From the euphoria of love to the constraints of societal norms, "Reality" provides an honest look at what it means to be human. Prepare to be captivated by a narrative that sparks conversation and fosters empathy. "यथार्थ" isn't just a book; it's a mirror reflecting our world and the changes we need to make.
Certifications
Industry-recognized credentials that validate my software, cloud, and data foundations.
Learn SQL
View CertificateGenerative AI & the Azure Bot AI Service
View CertificateMicrosoft Azure Fundamentals: Monitoring Azure Services
View CertificateHow to Make a Website with NameCheap
View CertificateWhat is Data Science?
View CertificateGitHub Metrics Dashboard
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Contact
United States of America