MSSoftware Engineer

Mehnaz Sheikh — early-career professional

I have practical experience and am actively shaping the next step in my career through hands-on projects and skill growth.

Work samples

A concise collection of projects and tasks that reflect my skills, learning focus, and the kinds of problems I like to solve.

  • SkillSync 6 Skill Sharing Platform
    SkillSync 6 Skill Sharing Platform

    Built a multi-page React application for discovering and sharing skills locally, with routing, modular components, search and add-skill flows, LocalStorage persistence, geolocation, and responsive CSS.

    ReactJavaScriptReact RouterViteBrowser APIs
  • Real-Time Credit Card Fraud Detection Service
    Real-Time Credit Card Fraud Detection Service

    Built an end-to-end fraud detection system using a Random Forest model trained on 280K+ transactions and exposed production-style /predict, /batch-predict, and /health REST endpoints for real-time scoring and batch processing.

    PythonFlaskscikit-learnREST APIs

About me

I have practical experience and am actively shaping the next step in my career through hands-on projects and skill growth.

I am Mehnaz Sheikh. I have some work experience and am exploring the start of my career, building skills and projects that show what I can do next.

Experience

Software Engineer

Work4Flow · Mar 2026 – Present

Computer Support Assistant

Arizona State University · Jul 2024 – Dec 2025

Software Development Engineer

Brillio Technologies · Oct 2022 – Jan 2024

Programmer Analyst Trainee

Cognizant Technology Solutions · Mar 2022 – Sep 2022

Education

Arizona State University

M.S., Information Technology 6 GPA: 3.83/4.0 · Class of 2025

GH Raisoni College of Engineering Nagpur, India

B.E., Computer Science and Engineering · Class of 2022

Skills

Early-career professional experienceHands-on project workOngoing skill development

SkillSync 6 Skill Sharing Platform

Built a multi-page React application for discovering and sharing skills locally, with routing, modular components, search and add-skill flows, LocalStorage persistence, geolocation, and responsive CSS.

ReactJavaScriptReact RouterViteBrowser APIs
View all work

Real-Time Credit Card Fraud Detection Service

Built an end-to-end fraud detection system using a Random Forest model trained on 280K+ transactions and exposed production-style /predict, /batch-predict, and /health REST endpoints for real-time scoring and batch processing.

PythonFlaskscikit-learnREST APIs
View all work