Pelagia Majoni

Software Engineer

United States3 yrs 7 mos experience

Highly StableAI Enabled

Key Highlights

Abie Award winner for contributions to technology accessibility.
Expert in building secure, scalable internal systems.
Proficient in machine learning and AI for data insights.

Stackforce AI infers this person is a SaaS-focused Software Engineer with strong expertise in Data Science and Machine Learning.

Contact

Skills

Core Skills

Software EngineeringMachine LearningData ScienceScientific Computing

Other Skills

C#PowershellPython (Programming Language)SQLPostgreSQLMATLABComputational ModelingJavaDjangoFlaskLinuxExploratory Data AnalysisStatistical Data AnalysisData VisualizationScientific Programming

About

On LinkedIn, I share: - Actionable career advice for students and early-career engineers - Easy-to-understand technical insights across software engineering and machine learning Navigating job applications, sharpening your technical skills, or trying to understand complex concepts? I’m here to help. I work as a Software Engineer at Microsoft, where I build secure, scalable internal systems that empower engineers to solve OneDrive and SharePoint challenges more efficiently. I apply machine learning and AI to uncover valuable insights and turn complex data into smarter decisions. Beyond engineering, I’m passionate about making technology more accessible — a commitment recognized through honors like the Abie Award, Palantir Scholarship, and the Windows Insider Women in Computing Award. Follow me for weekly insights on breaking into tech and growing as an engineer.

Experience

Microsoft

2 roles

Software Engineer

Aug 2022 – Present · 3 yrs 7 mos · Redmond, Washington, United States · Remote

Migrated legacy APIs to secure validation systems for VM patching, reducing production bugs by 12%.
Integrated internal tooling telemetry into a data analysis tool, improving visibility and reducing security risks.
Built request execution middleware, decreasing bug resolution time by 15%.
Enforced version validation across 95% of VMs, balancing EU compliance and service reliability.
Refactored data cache systems to replace Binary Formatter with JSON, mitigating critical vulnerabilities.

C#PowershellSoftware EngineeringMachine Learning

Software Engineer Intern

May 2022 – Aug 2022 · 3 mos · Redmond, Washington, United States · Remote

Developed client-side telemetry for internal debugging tools, improving detection and resolution time by 5%.
Integrated telemetry with an internal monitoring platform to enable proactive issue monitoring via dashboards.
Delivered 97% unit test coverage in 2 weeks, reducing bugs by 3%.
Presented insights to leadership, leading to new telemetry adoption and a 3% UX improvement.

C#PowershellSoftware Engineering

Warner bros. entertainment

Data Science Intern

Jun 2020 – Aug 2020 · 2 mos · Burbank, California, United States · Remote

Designed a Python and SQL-based movie search engine (93% accuracy) for 300K+ daily users.
Improved retrieval speed by 30% using query expansion and stop word removal, raising satisfaction by 9%.

Python (Programming Language)SQLData Science

University of chicago

Data Science Intern

Jun 2019 – Aug 2019 · 2 mos · Greater Chicago Area · On-site

Built and analyzed pandas DataFrames using PSQL queries to explore employee retention trends.
Developed Seaborn visualizations that guided a 15% improvement in employee retention strategy.
Delivered production-ready code via Git and Linux to support data-driven HR decisions.

Python (Programming Language)PostgreSQLData Science

Haverford college

Data Science Intern

Aug 2018 – Aug 2019 · 1 yr · Haverford, Pennsylvania, United States · On-site

Developed MATLAB scripts to simulate and visualize feather pattern formation in 1,000+ birds.
Automated parameter analysis to reveal biological pattern trends, generating 50+ data visualizations.
Collaborated with research team to apply computational modeling in interdisciplinary physics research.

MATLABComputational ModelingScientific Computing