Open to opportunities

Sahar Budye

@saharbudye

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I build enterprise automation, monitoring, and AI-driven software systems using Python, Django, and SQL.

India

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What I'm looking for

I'm looking to apply my software engineering and automation capabilities to airport logistics, baggage handling, operational monitoring, and enterprise technology environments.

I've developed enterprise GRC and asset-management systems that digitized 80%+ of manual asset and employee tracking workflows. My work connects real-time asset, employee, and network mapping to improve visibility and data consistency across interconnected modules.

For an Airport Baggage Handling Monitoring System, I built modules for baggage tracking, conveyor monitoring, flight allocation, routing, exception management, and operational dashboards using Django, Python, SQL, REST APIs, and JavaScript.

I've also built AI-powered chatbot solutions through IBM SkillsBuild, automating 60%+ of common website interactions. My project work includes an AI Career Companion, placement analytics dashboards, an Amazon Prime dashboard, and the Medify chatbot.

I'm interested in applying software engineering and automation to airport logistics, baggage handling, operational monitoring, and enterprise technology environments.

Experience

Work history, roles, and key accomplishments

Current

GRC & Enterprise Systems Developer

Current

Independent / Project-Based

Jan 2025 - Present (1 year 8 months)

Developed enterprise GRC and asset-management systems using Python, Django & SQL, digitizing 80%+ of manual asset and employee tracking workflows. Integrated real-time asset–employee–network mapping, improving system visibility and data consistency by 60%+ across interconnected modules.

Python Django SQL GRC IT Asset Management REST APIs JavaScript

Education

Degrees, certifications, and relevant coursework

Finolex Academy of Management and Technology

Bachelor of Engineering, Computer Science and Engineering (AIML)

Grade: 9.10 CGPA

Pursued a Bachelor's degree in Computer Science and Engineering with a focus on Artificial Intelligence and Machine Learning, achieving a CGPA of 9.10.