Automation of Profile Reporting System for Misogyny Identification
Published by
IRJET
Summary
Published research on an automated system for identifying misogyny in profiles, demonstrating expertise in AI/ML for content moderation.
About
Highly accomplished and results-driven Software Engineer with a Master of Science in Computer Science, specializing in full-stack development, cloud architecture, and AI/ML solutions. Proven ability to architect and deploy scalable backend systems, optimize performance, and deliver robust applications that significantly reduce bugs and enhance user engagement, driving substantial business value.
Work
ScholarshipAuditions.com
|Software Engineer
Nashville, TN, US
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Summary
Spearheaded full-stack platform modernization and backend architecture initiatives, developing scalable solutions and optimizing system performance to support high-volume user interactions and drive business value.
Highlights
Modernized core platform through Angular and Django upgrades, while developing a Playwright automation suite that reduced production bugs by 25%.
Architected and deployed enterprise-scale backend features, including real-time messaging and Elasticsearch, leveraging Redis caching and SQL optimizations to manage 100K+ daily API requests for 50K+ users.
Engineered and deployed scalable AWS infrastructure utilizing Docker/ECS, Lambda, and CI/CD, significantly reducing deployment time from hours to minutes.
Developed AWS S3/Lambda media pipelines for 10K+ videos, lowering upload latency by 35%, and optimized overall system performance by 40% using Celery-based async task processing.
Assumed critical startup roles, leading client demos, building recruitment analytics pipelines, and creating marketing campaigns that boosted lead conversion.
ScholarshipAuditions.com
|Software Engineer Intern
Remote, Remote, US
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Summary
Contributed to full-stack development and cloud infrastructure, delivering key platform features and optimizing deployment processes in a fast-paced startup environment.
Highlights
Delivered essential platform features such as student video profiles and teacher reference workflows, enhancing user experience and functionality.
Developed responsive marketing funnels using Webflow and Angular, which successfully increased lead conversion for the business.
Containerized services with Docker, ensuring reliable deployments and significantly reducing system downtime.
Contributed as a full-stack generalist within a fast-paced startup, effectively bridging engineering solutions with critical business operations.
Education
University of Florida
Gainesville, FL, United States of America
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M.Sc.
Computer Science
Courses
Analysis of Algorithms
Advanced Data Structures
Distributed Operating System Principles
Data Engineering
Mobile Computing
User Experience and Design
Data Science
Advanced Computer Networks
Publications
Certificates
Digital Badge in HPCC Systems Workshop
Issued By
HPCC Systems
Google Data Analytics Specialization
Issued By
Coursera
Skills
Programming Languages & Frameworks
Python, Java, C++, JavaScript, C#.NET, Angular, React.js, Node.js, Django, CSS3.
Databases
SQL Server, PostgreSQL, MongoDB, Firebase.
Cloud & Containerization
AWS (ECS, RDS, S3, Lambda, CI/CD), Docker, Linux.
Architecture & Design Patterns
REST APIs, Software Architecture, Design Patterns, Microservices.
AI & Data Science
OpenAI API, Prompt Engineering, NLP, ML, Data Pipelines.
Projects
The Censoror
Summary
Developed a configurable CLI utility for automated sensitive data redaction with compliance reporting, adaptable for enterprise-scale moderation and audit pipelines.
Multimedia Misogyny Identification and Automated Reporting System
Summary
Built an AI-powered content safety system with 89% accuracy, automating harmful content detection and reporting for large datasets.
Toxic Comment Classification
Summary
Designed a desktop application with 93% accuracy in toxic comment detection, integrating ML models with a user-facing interface for safer online interactions.